#Importing the packages
import os
import warnings
warnings.simplefilter(action = 'ignore', category=FutureWarning)
warnings.filterwarnings('ignore')
def ignore_warn(*args, **kwargs):
pass
warnings.warn = ignore_warn #ignore annoying warning (from sklearn and seaborn)
import pandas as pd
import numpy as np
import pylab
import plotly.express as px
import seaborn as sns
import matplotlib
sns.set(style="ticks", color_codes=True, font_scale=1.5)
from matplotlib import pyplot as plt
from matplotlib.ticker import FormatStrFormatter
from matplotlib.colors import ListedColormap
%matplotlib inline
import mpl_toolkits
from mpl_toolkits.mplot3d import Axes3D
from graphviz import Source
from IPython.display import Image
import sklearn
import scipy
from sklearn.preprocessing import LabelEncoder, label_binarize, StandardScaler, PolynomialFeatures, MinMaxScaler
#importing dataset
df=pd.read_csv('C:/Users/DELL/Downloads/Tooltest-dataset.csv')
# See the number of rows and columns
print("Rows, columns: " + str(df.shape))
# See the first five rows of the dataset
df.head()
Rows, columns: (4898, 12)
| fixed acidity | volatile acidity | citric acid | residual sugar | chlorides | free sulfur dioxide | total sulfur dioxide | density | pH | sulphates | alcohol | Target | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.0 | 0.27 | 0.36 | 20.7 | 0.045 | 45.0 | 170.0 | 1.0010 | 3.00 | 0.45 | 8.8 | 0 |
| 1 | 6.3 | 0.30 | 0.34 | 1.6 | 0.049 | 14.0 | 132.0 | 0.9940 | 3.30 | 0.49 | 9.5 | 0 |
| 2 | 8.1 | 0.28 | 0.40 | 6.9 | 0.050 | 30.0 | 97.0 | 0.9951 | 3.26 | 0.44 | 10.1 | 0 |
| 3 | 7.2 | 0.23 | 0.32 | 8.5 | 0.058 | 47.0 | 186.0 | 0.9956 | 3.19 | 0.40 | 9.9 | 0 |
| 4 | 7.2 | 0.23 | 0.32 | 8.5 | 0.058 | 47.0 | 186.0 | 0.9956 | 3.19 | 0.40 | 9.9 | 0 |
#Renaming variables
df=df.rename(columns={'fixed acidity': 'fixed_acidity', 'volatile acidity': 'volatile_acidity','citric acid':'citric_acid','residual sugar':'residual_sugar','free sulfur dioxide':'free_sulfur_dioxide','total sulfur dioxide':'total_sulfur_dioxide'})
df.head()
| fixed_acidity | volatile_acidity | citric_acid | residual_sugar | chlorides | free_sulfur_dioxide | total_sulfur_dioxide | density | pH | sulphates | alcohol | Target | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.0 | 0.27 | 0.36 | 20.7 | 0.045 | 45.0 | 170.0 | 1.0010 | 3.00 | 0.45 | 8.8 | 0 |
| 1 | 6.3 | 0.30 | 0.34 | 1.6 | 0.049 | 14.0 | 132.0 | 0.9940 | 3.30 | 0.49 | 9.5 | 0 |
| 2 | 8.1 | 0.28 | 0.40 | 6.9 | 0.050 | 30.0 | 97.0 | 0.9951 | 3.26 | 0.44 | 10.1 | 0 |
| 3 | 7.2 | 0.23 | 0.32 | 8.5 | 0.058 | 47.0 | 186.0 | 0.9956 | 3.19 | 0.40 | 9.9 | 0 |
| 4 | 7.2 | 0.23 | 0.32 | 8.5 | 0.058 | 47.0 | 186.0 | 0.9956 | 3.19 | 0.40 | 9.9 | 0 |
# Missing Values
print(df.isna().sum())
fixed_acidity 0 volatile_acidity 0 citric_acid 0 residual_sugar 0 chlorides 0 free_sulfur_dioxide 0 total_sulfur_dioxide 0 density 0 pH 0 sulphates 0 alcohol 0 Target 0 dtype: int64
#descriptive statistics of the variables
df.describe()
| fixed_acidity | volatile_acidity | citric_acid | residual_sugar | chlorides | free_sulfur_dioxide | total_sulfur_dioxide | density | pH | sulphates | alcohol | Target | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 | 4898.000000 |
| mean | 6.854788 | 0.278241 | 0.334192 | 6.391415 | 0.045772 | 35.308085 | 138.360657 | 0.994027 | 3.188267 | 0.489847 | 10.514267 | 0.216415 |
| std | 0.843868 | 0.100795 | 0.121020 | 5.072058 | 0.021848 | 17.007137 | 42.498065 | 0.002991 | 0.151001 | 0.114126 | 1.230621 | 0.411842 |
| min | 3.800000 | 0.080000 | 0.000000 | 0.600000 | 0.009000 | 2.000000 | 9.000000 | 0.987110 | 2.720000 | 0.220000 | 8.000000 | 0.000000 |
| 25% | 6.300000 | 0.210000 | 0.270000 | 1.700000 | 0.036000 | 23.000000 | 108.000000 | 0.991723 | 3.090000 | 0.410000 | 9.500000 | 0.000000 |
| 50% | 6.800000 | 0.260000 | 0.320000 | 5.200000 | 0.043000 | 34.000000 | 134.000000 | 0.993740 | 3.180000 | 0.470000 | 10.400000 | 0.000000 |
| 75% | 7.300000 | 0.320000 | 0.390000 | 9.900000 | 0.050000 | 46.000000 | 167.000000 | 0.996100 | 3.280000 | 0.550000 | 11.400000 | 0.000000 |
| max | 14.200000 | 1.100000 | 1.660000 | 65.800000 | 0.346000 | 289.000000 | 440.000000 | 1.038980 | 3.820000 | 1.080000 | 14.200000 | 1.000000 |
# re-shuffle records just to randomize data points
df = df.sample(frac=1, random_state=101).reset_index(drop=True)
#Check thye descriptive statistics as per target variable
subset_attributes = df.columns
bad_wine = round(df.loc[df.Target == 0, subset_attributes].describe(),2)
good_wine = round(df.loc[df.Target == 1, subset_attributes].describe(),2)
pd.concat([bad_wine, good_wine], axis=0, keys=['Bad Wine Statistics', 'Good Wine Statistics']).T
| Bad Wine Statistics | Good Wine Statistics | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | mean | std | min | 25% | 50% | 75% | max | count | mean | std | min | 25% | 50% | 75% | max | |
| fixed_acidity | 3838.0 | 6.89 | 0.86 | 3.80 | 6.30 | 6.80 | 7.40 | 14.20 | 1060.0 | 6.73 | 0.77 | 3.90 | 6.20 | 6.70 | 7.20 | 9.20 |
| volatile_acidity | 3838.0 | 0.28 | 0.10 | 0.08 | 0.22 | 0.27 | 0.32 | 1.10 | 1060.0 | 0.27 | 0.09 | 0.08 | 0.19 | 0.25 | 0.32 | 0.76 |
| citric_acid | 3838.0 | 0.34 | 0.13 | 0.00 | 0.26 | 0.32 | 0.40 | 1.66 | 1060.0 | 0.33 | 0.08 | 0.01 | 0.28 | 0.31 | 0.36 | 0.74 |
| residual_sugar | 3838.0 | 6.70 | 5.23 | 0.60 | 1.70 | 6.00 | 10.40 | 65.80 | 1060.0 | 5.26 | 4.29 | 0.80 | 1.80 | 3.88 | 7.40 | 19.25 |
| chlorides | 3838.0 | 0.05 | 0.02 | 0.01 | 0.04 | 0.04 | 0.05 | 0.35 | 1060.0 | 0.04 | 0.01 | 0.01 | 0.03 | 0.04 | 0.04 | 0.14 |
| free_sulfur_dioxide | 3838.0 | 35.52 | 17.79 | 2.00 | 23.00 | 34.00 | 47.00 | 289.00 | 1060.0 | 34.55 | 13.80 | 5.00 | 25.00 | 33.00 | 42.00 | 108.00 |
| total_sulfur_dioxide | 3838.0 | 141.98 | 44.15 | 9.00 | 111.00 | 140.00 | 173.00 | 440.00 | 1060.0 | 125.25 | 32.72 | 34.00 | 101.00 | 122.00 | 146.00 | 229.00 |
| density | 3838.0 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 1.00 | 1.04 | 1060.0 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 | 0.99 | 1.00 |
| pH | 3838.0 | 3.18 | 0.15 | 2.72 | 3.08 | 3.17 | 3.27 | 3.81 | 1060.0 | 3.22 | 0.16 | 2.84 | 3.10 | 3.20 | 3.32 | 3.82 |
| sulphates | 3838.0 | 0.49 | 0.11 | 0.23 | 0.41 | 0.47 | 0.54 | 1.06 | 1060.0 | 0.50 | 0.13 | 0.22 | 0.40 | 0.48 | 0.58 | 1.08 |
| alcohol | 3838.0 | 10.27 | 1.10 | 8.00 | 9.40 | 10.00 | 11.00 | 14.00 | 1060.0 | 11.42 | 1.26 | 8.50 | 10.70 | 11.50 | 12.40 | 14.20 |
| Target | 3838.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1060.0 | 1.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
# CHeck the distribution of the target variable so as to know whether the good wine is more in number.
fig = px.histogram(df,x='Target')
fig.show()
#The dependent variable is binary in nature and the good wines are less in number around 1000 compared to 3800 of bad wines.
#Inferential statistics: Anova Test
from scipy.stats import f_oneway
def type_inf_stat_test(feature):
F, p = f_oneway(df[df.Target == 0][feature],
df[df.Target == 1][feature])
if p <= 0.05:
msg = 'Reject'
else:
msg = 'Acept'
print('F Statistic: {:.2f} \tp-value: {:.3f} \tNull Hypothesis: {}'.format(F, p, msg))
print('ANOVA test across wine samples with different types:\n')
# - Mean residual sugar and total sulfur dioxide content in good wine seems to be much higher than bad wine.
type_inf_stat_test('residual_sugar')
type_inf_stat_test('total_sulfur_dioxide')
#- Mean value of sulphates, fixed acidity and volatile acidity seem to be higher in good wine as compared to bad wine.
type_inf_stat_test('sulphates')
type_inf_stat_test('fixed_acidity')
type_inf_stat_test('volatile_acidity')
#- From all numbers, we can observe that citric acid is more present in white than bad wines.
type_inf_stat_test('citric_acid')
#- In general, white wines has half concentrations of chlorides then bad wines.
type_inf_stat_test('chlorides')
#- Although in Ph the difference seems small it is interesting to note that it is slightly larger in bad wines.
type_inf_stat_test('pH')
ANOVA test across wine samples with different types: F Statistic: 68.05 p-value: 0.000 Null Hypothesis: Reject F Statistic: 132.29 p-value: 0.000 Null Hypothesis: Reject F Statistic: 11.03 p-value: 0.001 Null Hypothesis: Reject F Statistic: 32.13 p-value: 0.000 Null Hypothesis: Reject F Statistic: 22.23 p-value: 0.000 Null Hypothesis: Reject F Statistic: 6.12 p-value: 0.013 Null Hypothesis: Reject F Statistic: 169.87 p-value: 0.000 Null Hypothesis: Reject F Statistic: 43.19 p-value: 0.000 Null Hypothesis: Reject
#Check correlation
# re-shuffle records just to randomize data points
df = df.sample(frac=1, random_state=101).reset_index(drop=True)
class_tp = LabelEncoder()
y_tp = class_tp.fit_transform(df.Target.values)
df['type'] = y_tp
#class_ql = {'low':0, 'medium': 1, 'high': 2}
#y_ql = wines.quality_label.map(class_ql)
corr = df.corr()
top_corr_cols = corr.type.sort_values(ascending=False).keys()
top_corr = corr.loc[top_corr_cols, top_corr_cols]
dropSelf = np.zeros_like(top_corr)
dropSelf[np.triu_indices_from(dropSelf)] = True
plt.figure(figsize=(18, 10))
sns.heatmap(top_corr, cmap=sns.diverging_palette(220, 10, as_cmap=True), annot=True, fmt=".2f", mask=dropSelf)
sns.set(font_scale=1.5)
plt.show()
del corr, dropSelf, top_corr
#Pairwise Plot
sns.set(font_scale=1.0)
cols = df.columns
#cols = cols.drop('Target')
g = sns.pairplot(data = df.loc[:, cols], hue='Target')
fig = g.fig
fig.subplots_adjust(top=0.93, wspace=0.3)
t = fig.suptitle('Wine Attributes Pairwise Plots by Quality', fontsize=24)
plt.show()
# Separate feature variables and target variable
X = df.drop(['Target','type'], axis = 1)
y = df['Target']
#standardizing the data
# Normalize feature variables
from sklearn.preprocessing import StandardScaler
X_features = X
X = StandardScaler().fit_transform(X)
df_scale=StandardScaler().fit_transform(df)
df_scale[10:12]
array([[ 1.4757511 , -1.57009756, 1.28759423, -1.02363678, -0.17268156,
0.45232188, 0.50923618, -0.2097827 , -0.38590965, -0.08628968,
-0.66173945, -0.52553355, -0.52553355],
[ 0.64615301, -0.57787912, -0.6131152 , 0.47492185, -0.85931436,
-0.72377504, -0.62034234, -0.31009697, -1.37938461, -0.69971036,
0.71981845, -0.52553355, -0.52553355]])
#df = df.drop(['type'], axis = 1)
from sklearn.model_selection import train_test_split
train_data,test_data=train_test_split(df,test_size=0.25,random_state=42)
import statsmodels.api as sm
from statsmodels.formula.api import logit
formula=('Target~ fixed_acidity + volatile_acidity + citric_acid + residual_sugar + chlorides + free_sulfur_dioxide +total_sulfur_dioxide + density + pH +sulphates + alcohol')
model=logit(formula=formula,data=train_data).fit_regularized()
Optimization terminated successfully. (Exit mode 0)
Current function value: 0.4216010216386241
Iterations: 118
Function evaluations: 125
Gradient evaluations: 118
model.summary()
| Dep. Variable: | Target | No. Observations: | 3673 |
|---|---|---|---|
| Model: | Logit | Df Residuals: | 3661 |
| Method: | MLE | Df Model: | 11 |
| Date: | Mon, 13 Jul 2020 | Pseudo R-squ.: | 0.1988 |
| Time: | 12:26:37 | Log-Likelihood: | -1548.5 |
| converged: | True | LL-Null: | -1932.7 |
| Covariance Type: | nonrobust | LLR p-value: | 1.171e-157 |
| coef | std err | z | P>|z| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| Intercept | 659.5983 | 107.077 | 6.160 | 0.000 | 449.732 | 869.465 |
| fixed_acidity | 0.5705 | 0.104 | 5.493 | 0.000 | 0.367 | 0.774 |
| volatile_acidity | -3.9953 | 0.569 | -7.021 | 0.000 | -5.111 | -2.880 |
| citric_acid | -0.4748 | 0.471 | -1.009 | 0.313 | -1.397 | 0.448 |
| residual_sugar | 0.3128 | 0.041 | 7.684 | 0.000 | 0.233 | 0.393 |
| chlorides | -14.7313 | 4.646 | -3.170 | 0.002 | -23.838 | -5.624 |
| free_sulfur_dioxide | 0.0087 | 0.004 | 2.441 | 0.015 | 0.002 | 0.016 |
| total_sulfur_dioxide | -0.0008 | 0.002 | -0.491 | 0.623 | -0.004 | 0.003 |
| density | -683.8006 | 108.538 | -6.300 | 0.000 | -896.531 | -471.070 |
| pH | 3.7243 | 0.491 | 7.588 | 0.000 | 2.762 | 4.686 |
| sulphates | 2.1944 | 0.403 | 5.441 | 0.000 | 1.404 | 2.985 |
| alcohol | 0.1230 | 0.129 | 0.950 | 0.342 | -0.131 | 0.377 |
#Excluding insignificant variables second logit model
formula=('Target~ fixed_acidity + volatile_acidity + residual_sugar + chlorides + free_sulfur_dioxide + density + pH +sulphates')
model1=logit(formula=formula,data=train_data).fit_regularized()
Optimization terminated successfully. (Exit mode 0)
Current function value: 0.4218693331137487
Iterations: 99
Function evaluations: 103
Gradient evaluations: 99
model1.summary()
| Dep. Variable: | Target | No. Observations: | 3673 |
|---|---|---|---|
| Model: | Logit | Df Residuals: | 3664 |
| Method: | MLE | Df Model: | 8 |
| Date: | Mon, 13 Jul 2020 | Pseudo R-squ.: | 0.1983 |
| Time: | 12:26:38 | Log-Likelihood: | -1549.5 |
| converged: | True | LL-Null: | -1932.7 |
| Covariance Type: | nonrobust | LLR p-value: | 3.593e-160 |
| coef | std err | z | P>|z| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| Intercept | 755.7606 | 40.284 | 18.761 | 0.000 | 676.805 | 834.716 |
| fixed_acidity | 0.6189 | 0.074 | 8.339 | 0.000 | 0.473 | 0.764 |
| volatile_acidity | -3.8703 | 0.540 | -7.172 | 0.000 | -4.928 | -2.813 |
| residual_sugar | 0.3446 | 0.023 | 15.254 | 0.000 | 0.300 | 0.389 |
| chlorides | -14.6608 | 4.619 | -3.174 | 0.002 | -23.714 | -5.608 |
| free_sulfur_dioxide | 0.0074 | 0.003 | 2.626 | 0.009 | 0.002 | 0.013 |
| density | -780.9694 | 41.585 | -18.780 | 0.000 | -862.475 | -699.464 |
| pH | 3.9977 | 0.385 | 10.372 | 0.000 | 3.242 | 4.753 |
| sulphates | 2.2859 | 0.382 | 5.981 | 0.000 | 1.537 | 3.035 |
#Log of odds ratio.
print(np.exp(model1.params))
Intercept inf fixed_acidity 1.856817e+00 volatile_acidity 2.085249e-02 residual_sugar 1.411439e+00 chlorides 4.294511e-07 free_sulfur_dioxide 1.007471e+00 density 0.000000e+00 pH 5.447215e+01 sulphates 9.834110e+00 dtype: float64
#Average Marginal effect
AME=model1.get_margeff(at='overall',method='dydx')
print(AME.summary())
Logit Marginal Effects
=====================================
Dep. Variable: Target
Method: dydx
At: overall
=======================================================================================
dy/dx std err z P>|z| [0.025 0.975]
---------------------------------------------------------------------------------------
fixed_acidity 0.0837 0.010 8.576 0.000 0.065 0.103
volatile_acidity -0.5237 0.072 -7.302 0.000 -0.664 -0.383
residual_sugar 0.0466 0.003 17.072 0.000 0.041 0.052
chlorides -1.9836 0.623 -3.183 0.001 -3.205 -0.762
free_sulfur_dioxide 0.0010 0.000 2.634 0.008 0.000 0.002
density -105.6656 4.681 -22.575 0.000 -114.840 -96.492
pH 0.5409 0.050 10.865 0.000 0.443 0.638
sulphates 0.3093 0.051 6.080 0.000 0.210 0.409
=======================================================================================
#Model evaluation
#model_prediction
prediction=model1.predict(exog=test_data)
#Define cut_off
cutoff=0.5
#compute class prediction: y predictions
y_prediction=np.where(prediction>cutoff,1,0)
y_actual=test_data['Target']
#confusion matrix
conf_matrix=pd.crosstab(y_actual,y_prediction,rownames=['Actual'],colnames=['Predicted'],margins=True)
#Print the confusion Matrix
print(conf_matrix)
Predicted 0 1 All Actual 0 908 63 971 1 189 65 254 All 1097 128 1225
#Visualizing the Confusion Matrix
class_names=[0,1] # name of classes
fig, ax = plt.subplots()
tick_marks = np.arange(len(class_names))
plt.xticks(tick_marks, class_names)
plt.yticks(tick_marks, class_names)
# create heatmap
sns.heatmap(pd.DataFrame(conf_matrix), annot=True, cmap="YlGnBu" ,fmt='g')
ax.xaxis.set_label_position("top")
plt.tight_layout()
plt.title('Confusion matrix', y=1.1)
plt.ylabel('Actual label')
plt.xlabel('Predicted label')
Text(0.5, 257.44, 'Predicted label')
#Accuracy of training data
#Model evaluation
#model_prediction
pred=model1.predict(exog=train_data)
#Define cut_off
cutoff=0.5
#compute class prediction: y predictions
y_pred=np.where(pred>cutoff,1,0)
y_actual_train=train_data['Target']
#Model evaluation using Confusion Matrix
# import the metrics class
from sklearn import metrics
#Evaluation of Accuracy,Precision and Recall
print("Accuracy:",metrics.accuracy_score(y_actual_train, y_pred))
print("Precision:",metrics.precision_score(y_actual_train, y_pred))
print("Recall:",metrics.recall_score(y_actual_train, y_pred))
Accuracy: 0.802341410291315 Precision: 0.5966183574879227 Recall: 0.3064516129032258
#Accuracy of test data
#Model evaluation using Confusion Matrix
# import the metrics class
from sklearn import metrics
#Evaluation of Accuracy,Precision and Recall
print("Accuracy:",metrics.accuracy_score(y_actual, y_prediction))
print("Precision:",metrics.precision_score(y_actual, y_prediction))
print("Recall:",metrics.recall_score(y_actual, y_prediction))
Accuracy: 0.7942857142857143 Precision: 0.5078125 Recall: 0.2559055118110236
#Removing Target variable from Test data
X_test = test_data.drop(['Target'], axis = 1)
#Measuring the ROC Curve
y_pred_proba = model1.predict(X_test)
fpr, tpr, _ = metrics.roc_curve(y_actual, y_pred_proba)
auc = metrics.roc_auc_score(y_actual, y_pred_proba)
plt.plot(fpr,tpr,label="data 1, auc="+str(auc))
plt.legend(loc=4)
plt.show()
#Classification Report
from sklearn.metrics import classification_report
print(classification_report(y_actual, y_prediction))
precision recall f1-score support
0 0.83 0.94 0.88 971
1 0.51 0.26 0.34 254
accuracy 0.79 1225
macro avg 0.67 0.60 0.61 1225
weighted avg 0.76 0.79 0.77 1225
#Preprocessing for the Model
# Separate feature variables and target variable
X = df.drop(['Target','type'], axis = 1)
y = df['Target']
#standardizing the data
# Normalize feature variables
from sklearn.preprocessing import StandardScaler
X_features = X
X = StandardScaler().fit_transform(X)
#Splitting the data into Test and Training dataset.
# Splitting the data
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=0)
#Making Predictions
#In here X consists of the scaled feactures excluding the Target variable and Y_new is predicted outputs.
# import the class
from sklearn.linear_model import LogisticRegression
# instantiate the model (using the default parameters)
logreg = LogisticRegression()
# fit the model with data
logreg.fit(X_train,y_train)
ynew = logreg.predict(X)
print(ynew[1:10])
# show the inputs and predicted outputs
for i in range(len(X)):
print("X=%s, Predicted=%s" % (X[i], ynew[i]))
[0 0 0 0 1 0 0 0 0] X=[ 1.59426511 -0.47865728 0.29591974 -1.0039189 -0.17268156 0.2171025 -0.50267791 -0.41041123 -1.31315295 -1.13786799 -0.41793512], Predicted=0 X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=0 X=[-0.77601514 -0.9747665 1.28759423 -0.37294685 0.05619604 -1.07660412 -1.13806583 -0.71135403 0.54133365 -1.05023647 0.88235467], Predicted=0 X=[ 1.35723709e+00 6.12783009e-01 -6.95754741e-01 1.69280668e-03 -4.93110199e-01 1.58297652e-01 -8.32138311e-01 -8.51793999e-01 -1.84300626e+00 -2.27707783e+00 1.36996334e+00], Predicted=0 X=[-1.72412724 -0.72671189 -1.4395106 1.21434222 0.23929812 -0.25333627 -0.54974368 0.53923048 1.40234528 -0.96260494 0.23220977], Predicted=0 X=[ 0.05358295 -0.37943543 -0.86103382 0.13971794 -0.21845708 -0.90018958 -0.97333563 -0.52410073 -0.58460464 3.15607678 0.71981845], Predicted=1 X=[ 0.76466702 -0.87554465 1.28759423 -0.94476527 0.05619604 0.39351704 0.03857846 -0.27665888 1.40234528 -0.17392121 0.15094166], Predicted=0 X=[-0.06493106 -0.0817699 0.29591974 0.35661459 0.4224002 0.9815655 1.26228852 0.61279427 -0.51837298 0.26423642 -0.82427568], Predicted=0 X=[-0.30195909 -0.47865728 -0.28255704 1.67771232 0.23929812 -0.13572658 -0.47914502 1.44540267 -0.98199462 0.43949948 -1.23061624], Predicted=0 X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=0 X=[ 1.4757511 -1.57009756 1.28759423 -1.02363678 -0.17268156 0.45232188 0.50923618 -0.2097827 -0.38590965 -0.08628968 -0.66173945], Predicted=0 X=[ 0.64615301 -0.57787912 -0.6131152 0.47492185 -0.85931436 -0.72377504 -0.62034234 -0.31009697 -1.37938461 -0.69971036 0.71981845], Predicted=0 X=[-5.38987115e-01 2.15895632e-01 -1.43951060e+00 2.18589450e-01 1.93522599e-01 1.15798004e+00 1.23875564e+00 6.26169507e-01 -1.20982993e-01 1.34184656e-03 -1.23061624e+00], Predicted=0 X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=1 X=[ 1.71277913 1.10889223 3.02302457 0.82984363 -0.035355 -0.13572658 0.72103215 1.19461701 -0.6508363 0.70239405 -0.90554379], Predicted=0 X=[ 0.17209696 -1.37165388 -0.11727796 0.5143576 -0.31000812 1.09917519 0.06211135 0.52585524 0.21017533 -0.52444731 -0.90554379], Predicted=0 X=[-1.25007119 0.8112267 1.37023377 -1.06307253 3.71823763 1.62841881 0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=0 X=[-1.13155718 -1.57009756 -0.44783612 -0.98420103 -0.40155916 0.04068796 -1.30279603 -1.09923585 0.93872363 -0.61207884 0.31347789], Predicted=0 X=[-0.53898711 -0.18099175 0.79175698 1.22420116 -0.58466124 1.68722366 2.15653818 1.12774083 -0.71706797 -0.96260494 -1.31188435], Predicted=0 X=[-0.77601514 0.8112267 -0.6131152 1.34250842 0.23929812 1.09917519 1.47408449 1.19461701 0.40887032 -0.26155273 -1.23061624], Predicted=0 X=[ 0.76466702 1.00967039 1.86607101 0.65238274 0.4224002 -1.19421382 0.74456503 0.67632664 -0.38590965 1.40344626 -0.49920323], Predicted=0 X=[-0.06493106 -0.9747665 0.13064066 -0.19548596 0.37662468 1.04037035 0.10917712 -0.38700457 -0.58460464 0.43949948 0.394746 ], Predicted=0 X=[-1.25007119 -1.47087572 -0.94367336 1.24391904 0.55972676 -0.6649702 1.05049255 0.52585524 0.87249197 -0.61207884 0.96362278], Predicted=0 X=[-1.01304317 0.11667379 -1.10895244 1.22420116 -0.035355 0.56993158 1.14462409 1.06086466 0.93872363 -0.61207884 -0.82427568], Predicted=0 X=[-0.53898711 -0.57787912 0.04800112 -0.90532952 0.51395124 -0.37094597 -0.80860543 0.62616951 4.1178435 0.70239405 -0.17413078], Predicted=0 X=[ 0.17209696 0.51356116 -0.11727796 -1.02363678 0.33084916 0.15829765 -0.00848731 -1.14604918 -0.38590965 -1.8389202 0.55728222], Predicted=0 X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=0 X=[-0.53898711 -0.28021359 0.6264779 0.43548609 -0.17268156 1.27558973 0.81516369 0.82679804 -1.24692128 -0.43681578 -1.14934812], Predicted=0 X=[-0.53898711 -0.0817699 -0.36519658 0.86927938 -0.81353884 -1.07660412 -0.47914502 -0.15628176 -0.05475133 -1.05023647 0.55728222], Predicted=0 X=[-0.30195909 0.41433932 -0.03463842 -0.76730438 0.28507364 0.27590734 1.90944288 -0.29003411 -0.25344632 0.96528863 -0.41793512], Predicted=0 X=[ 1.12020906 0.61278301 0.13064066 -0.90532952 -0.17268156 -1.60584774 0.67396638 -1.079173 -0.51837298 -0.69971036 1.28869523], Predicted=0 X=[-0.06493106 -0.0817699 0.13064066 0.27774308 0.10197156 2.39288182 1.37995295 0.62616951 0.34263866 -0.52444731 -0.82427568], Predicted=0 X=[-0.53898711 0.11667379 -1.0263129 0.6425238 -0.21845708 0.04068796 -0.45561214 -0.22984555 -1.31315295 -1.31313104 0.34056725], Predicted=0 X=[ 0.17209696 0.71200485 -0.1999175 -0.90532952 1.06325748 -1.19421382 0.55630195 0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=0 X=[ 0.05358295 0.31511748 0.04800112 -0.94476527 -0.63043676 -0.72377504 -0.24381617 -0.7782302 1.20365029 -0.17392121 0.96362278], Predicted=0 X=[-1.01304317 0.61278301 2.69246641 1.87489109 0.01042052 -0.5473605 0.60336772 1.29493128 -0.31967798 0.08897337 -1.39315246], Predicted=0 X=[-1.13155718 1.35694684 -1.68742922 -0.98420103 -0.2642326 -1.4294332 -1.74992086 -0.61103976 0.67379698 0.26423642 -0.01159456], Predicted=0 X=[-0.53898711 -0.9747665 -0.44783612 2.10164667 0.05619604 1.04037035 0.01504558 1.07423989 0.40887032 -1.22549952 -0.01159456], Predicted=0 X=[ 0.76466702 -0.77632281 1.28759423 -1.0039189 -0.67621228 -1.60584774 -0.97333563 -0.74479212 -0.8495313 1.14055168 0.47601411], Predicted=0 X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156 4.09822236 0.95636101 -0.71469784 -0.98199462 0.87765711 0.63855033], Predicted=0 X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=1 X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=0 X=[ 1.59426511 -0.0817699 0.79175698 -0.94476527 -0.4931102 -0.25333627 -0.24381617 -0.81166829 -0.58460464 0.08897337 1.45123145], Predicted=0 X=[ 0.05358295 -0.18099175 -0.53047566 -0.43210048 -0.67621228 -0.90018958 -1.37339468 -1.04907872 -0.45214131 -0.87497341 0.80108656], Predicted=0 X=[ 1.00169505 0.11667379 -0.36519658 -0.31379322 0.6512778 -0.48855566 0.41510463 0.56598095 1.99843026 0.87765711 -0.17413078], Predicted=0 X=[-1.96115527 -0.37943543 -1.52215014 0.13971794 -0.12690604 -0.19453143 -0.10261885 -0.08271797 0.34263866 -0.08628968 -0.49920323], Predicted=0 X=[-0.30195909 2.79566358 -1.52215014 0.71153637 -0.40155916 0.15829765 0.43863752 0.80004757 0.60756531 0.26423642 -0.90554379], Predicted=0 X=[-1.84264125 0.8112267 -0.53047566 -0.01802507 -0.81353884 0.27590734 -0.14968462 -0.72472926 1.20365029 -0.78734189 0.88235467], Predicted=0 X=[-1.83445077e-01 2.20033252e+00 2.13280202e-01 1.00730452e+00 2.29919651e+00 -1.01779928e+00 -1.09100005e+00 8.00047567e-01 -5.18372977e-01 1.34184656e-03 -7.43007566e-01], Predicted=0 X=[ 3.01643326 -0.47865728 1.86607101 1.98333941 0.78860436 1.01096792 3.38024824 2.3248244 -0.58460464 0.1766049 -0.9868119 ], Predicted=0 X=[ 1.35723709 1.40655776 0.2132802 -0.27435747 -0.40155916 -0.07692173 -0.87920408 -0.67791594 -0.38590965 0.70239405 1.45123145], Predicted=0 X=[-0.77601514 1.30733592 -0.94367336 -0.88561164 -1.04241644 -1.78226228 -1.93818394 -1.58743194 -0.98199462 2.63028763 2.02010823], Predicted=1 X=[ 0.29061097 0.51356116 -0.28255704 -0.60956137 -0.53888572 -0.31214112 -0.8556712 -0.94542065 -0.71706797 -1.57602562 1.45123145], Predicted=0 X=[ 3.01643326 -1.07398834 1.78343147 -0.94476527 0.14774708 -1.25301866 -1.04393428 0.29178862 -1.11445795 1.05292016 -0.17413078], Predicted=0 X=[ 0.76466702 -0.77632281 1.12231514 2.07206986 0.28507364 0.92276066 1.16815698 1.80987784 -0.6508363 1.14055168 -0.9868119 ], Predicted=0 X=[-0.65750113 0.21589563 -0.77839428 0.04112856 -0.2642326 0.15829765 0.06211135 0.32522671 0.21017533 -0.17392121 -0.82427568], Predicted=0 X=[ 0.17209696 -0.28021359 -0.11727796 0.5143576 0.01042052 1.21678489 2.50953147 0.49241715 0.40887032 0.08897337 -0.09286267], Predicted=0 X=[ 1.71277913 -0.0817699 0.95703606 -1.0039189 0.10197156 -1.60584774 -1.56165777 0.12459818 -0.71706797 1.05292016 -0.17413078], Predicted=0 X=[-0.65750113 0.71200485 -0.28255704 -0.13633233 -0.4931102 -1.60584774 -0.97333563 -0.44384932 0.54133365 -0.69971036 0.394746 ], Predicted=0 X=[ 0.64615301 2.10111067 -0.77839428 1.71714808 -0.7219878 -0.07692173 0.34450598 0.42554098 -0.38590965 0.1766049 1.20742712], Predicted=0 X=[-0.30195909 0.11667379 -0.1999175 -0.49125411 -0.85931436 0.2171025 -0.99686851 -1.2296444 0.34263866 0.96528863 1.69503579], Predicted=1 X=[-1.3685852 1.05928131 -2.43118509 1.22420116 -0.53888572 -0.78257989 -0.54974368 0.79335995 0.60756531 1.22818321 -0.49920323], Predicted=0 X=[-0.77601514 -1.27243203 -0.53047566 0.90871513 -0.4931102 0.62873642 -0.5262108 0.66629521 -0.45214131 -0.96260494 -1.14934812], Predicted=0 X=[-0.18344508 -1.27243203 -0.11727796 0.29746096 -0.53888572 -1.07660412 -1.3498618 0.36535242 0.67379698 -1.57602562 -0.41793512], Predicted=0 X=[ 1.00169505 0.71200485 1.0396756 1.06645815 1.93299236 1.51080912 1.05049255 1.28155604 -2.17416458 -0.17392121 -1.23061624], Predicted=0 X=[ 0.76466702 -0.87554465 0.54383836 0.13971794 0.46817572 0.86395581 -0.66740811 0.45897907 -0.8495313 0.26423642 -0.49920323], Predicted=0 X=[ 0.29061097 2.69644174 -1.68742922 -0.9250474 1.24635956 -0.84138474 0.62690061 -0.00915417 -1.44561627 0.79002558 -1.06808001], Predicted=0 X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=0 X=[-1.01304317 -0.47865728 -1.52215014 0.65238274 0.10197156 3.86300298 1.61528181 0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=0 X=[ 0.88318104 0.21589563 -0.53047566 0.82984363 -0.31000812 -0.25333627 -0.45561214 1.3785265 0.54133365 -1.66365715 -0.9868119 ], Predicted=0 X=[-0.47973011 -1.37165388 0.70911744 -1.02363678 0.1935226 0.92276066 -0.22028328 -0.95879588 0.54133365 1.75397237 0.47601411], Predicted=0 X=[-0.77601514 -0.57787912 -0.28255704 1.18476541 0.37662468 4.2746369 0.32097309 1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=0 X=[ 0.76466702 -0.18099175 -0.6131152 2.35797907 1.74989028 -0.13572658 0.01504558 2.3649501 -0.12098299 -0.87497341 -1.39315246], Predicted=0 X=[-0.53898711 0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835 -0.45561214 -0.71135403 0.87249197 0.1766049 -0.09286267], Predicted=0 X=[-0.77601514 -0.28021359 0.37855928 0.29746096 -0.035355 1.09917519 1.63881469 0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=0 X=[-0.30195909 0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=0 X=[ 0.40912499 0.31511748 1.37023377 1.3622263 0.46817572 1.92244304 1.33288718 1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=0 X=[ 0.527639 -0.72671189 -0.1999175 -0.9250474 0.6512778 -0.07692173 -0.66740811 0.75992186 3.52175853 1.75397237 -0.01159456], Predicted=0 X=[-0.65750113 -1.37165388 0.46119882 -1.02363678 -0.08113052 -0.5473605 -0.5262108 -0.67791594 0.47510198 0.35186795 -0.17413078], Predicted=0 X=[-0.77601514 0.61278301 -0.69575474 1.12561178 0.60550228 -0.13572658 0.76809792 1.22471129 -0.31967798 0.61476253 -1.47442057], Predicted=0 X=[-0.65750113 -0.0817699 1.45287331 0.23830733 0.14774708 -0.01811689 1.45055161 0.48572954 -0.18721466 0.43949948 -0.90554379], Predicted=0 X=[ 1.71277913 -0.57787912 0.04800112 -1.04335466 -0.12690604 -0.90018958 -0.5262108 -0.44384932 -1.24692128 -0.17392121 -0.2553989 ], Predicted=0 X=[ 0.40912499 -0.67710097 0.04800112 1.08617602 -0.12690604 0.09949281 1.75647912 0.72648377 -0.6508363 0.08897337 -0.74300757], Predicted=0 X=[-0.53898711 -0.57787912 -0.28255704 0.94815089 0.01042052 1.04037035 0.25037443 0.25500673 0.14394366 -1.31313104 0.23220977], Predicted=0 X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=0 X=[ 0.76466702 -0.57787912 -0.03463842 0.06084644 -0.44733468 0.56993158 -0.00848731 -0.04259226 0.077712 1.66634084 0.71981845], Predicted=0 X=[-1.01304317 0.61278301 -0.77839428 -0.19548596 0.6512778 -0.72377504 -0.29088194 0.3586648 0.40887032 -0.43681578 -1.23061624], Predicted=0 X=[ 0.05358295 0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958 0.65043349 -0.65116547 -0.91576296 0.43949948 -0.58047134], Predicted=0 X=[ 1.94980715 -0.37943543 0.46119882 0.79040787 -0.08113052 -0.90018958 0.08564423 1.12774083 0.077712 0.35186795 -0.41793512], Predicted=0 X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.79718631], Predicted=0 X=[ 0.05358295 -1.37165388 0.37855928 -1.06307253 -0.21845708 -0.78257989 -1.3498618 -1.20289393 -1.04822629 0.43949948 0.71981845], Predicted=0 X=[ 0.40912499 1.50577961 -0.77839428 0.06084644 0.55972676 0.27590734 0.57983483 0.32522671 0.077712 -0.69971036 -0.49920323], Predicted=0 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[-0.65750113 2.15072159 -0.94367336 -0.90532952 0.01042052 -0.25333627 0.03857846 -0.37697314 1.33611362 0.43949948 -0.09286267], Predicted=0 X=[ 0.64615301 0.61278301 -0.28255704 1.67771232 -0.40155916 2.04005274 0.72103215 0.98730086 0.40887032 -1.05023647 -0.09286267], Predicted=0 X=[-1.01304317 -1.66931941 1.12231514 0.82984363 0.28507364 1.98124789 0.22684155 0.59273142 -1.84300626 -1.31313104 -0.9868119 ], Predicted=0 X=[-0.06493106 0.31511748 -0.69575474 0.81012575 -0.12690604 -0.31214112 0.62690061 1.06086466 1.13741862 0.527131 0.0290395 ], Predicted=0 X=[ 0.64615301 0.71200485 -1.10895244 1.48053356 0.37662468 1.62841881 2.13300529 1.62262454 -0.51837298 0.08897337 -1.31188435], Predicted=0 X=[ 0.76466702 4.23438032 -1.93534784 1.30307267 -0.08113052 0.51112673 1.78001201 1.13108464 -0.58460464 0.08897337 -1.14934812], Predicted=0 X=[ 1.59426511 0.61278301 -0.36519658 -0.23492171 1.38368612 -0.95899443 -1.09100005 -0.88523209 -1.5780796 -0.87497341 1.61376767], Predicted=0 X=[-1.72412724 0.11667379 0.37855928 -1.02363678 -0.76776332 -0.25333627 -0.14968462 -1.69777763 0.60756531 -1.13786799 1.53249956], Predicted=0 X=[ 0.17209696 -1.07398834 0.70911744 -1.06307253 1.3379106 -0.95899443 -1.58519066 -1.0022654 0.87249197 1.14055168 0.71981845], Predicted=0 X=[-0.30195909 -0.0817699 0.6264779 -1.0039189 0.28507364 -1.13540897 0.08564423 0.3586648 1.53480861 -0.17392121 -0.41793512], Predicted=0 X=[-1.25007119 0.21589563 -0.86103382 -0.96448315 -0.53888572 0.09949281 -0.40854637 -1.77802905 -1.51184794 -1.31313104 1.28869523], Predicted=0 X=[ 2.54237721 1.50577961 -0.28255704 -0.96448315 0.1935226 -1.66465259 0.86222946 0.3586648 -0.51837298 -0.34918426 -0.66173945], Predicted=0 X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233 3.53513555 -0.48855566 -0.80860543 0.45897907 -0.98199462 0.43949948 -0.90554379], Predicted=0 X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=0 X=[-0.18344508 -0.18099175 -0.36519658 -0.11661445 -0.9508654 -0.5473605 -1.514592 -0.37697314 0.60756531 0.35186795 0.394746 ], Predicted=0 X=[-0.89452915 -1.37165388 -0.69575474 -1.0039189 0.05619604 0.09949281 0.81516369 -0.5107255 1.07118696 -0.26155273 -0.41793512], Predicted=0 X=[ 0.17209696 -0.18099175 -0.6131152 0.86927938 -0.31000812 0.09949281 1.07402544 1.28489985 1.86596693 0.79002558 -0.17413078], Predicted=0 X=[ 0.40912499 0.41433932 0.54383836 0.45520397 -0.35578364 0.56993158 0.36803886 0.55260571 0.077712 -0.17392121 -0.09286267], Predicted=0 X=[-0.53898711 1.40655776 1.0396756 0.39605034 0.1935226 1.33439458 0.97989389 0.30850767 -0.05475133 -0.26155273 -0.66173945], Predicted=0 X=[-2.3166973 0.56317209 -1.60478968 -1.0039189 -0.44733468 1.98124789 0.69749926 -0.63779023 1.86596693 -0.26155273 -0.03868393], Predicted=0 X=[ 0.527639 3.7382711 -1.10895244 0.75097212 1.15480852 -0.42975081 1.73294624 1.02742657 -1.51184794 0.79002558 -1.06808001], Predicted=0 X=[ 0.527639 0.61278301 -1.0263129 -0.62927925 0.1935226 -1.25301866 -0.05555308 -0.14290653 0.40887032 -0.43681578 -0.2553989 ], Predicted=0 X=[-1.13155718 0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=0 X=[-0.06493106 -0.47865728 0.70911744 0.19887157 -0.08113052 1.21678489 1.19168986 0.59273142 0.21017533 -0.08628968 -0.9868119 ], Predicted=0 X=[-0.06493106 1.70422329 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0.88318104 0.01745194 -1.35687106 -0.94476527 0.01042052 -0.42975081 -0.50267791 -0.38366076 -0.71706797 -0.52444731 -0.41793512], Predicted=0 X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=0 X=[-0.30195909 -0.87554465 0.6264779 0.49463972 0.01042052 0.92276066 0.72103215 0.45897907 -0.31967798 0.70239405 -0.58047134], Predicted=0 X=[-1.48709922 0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332 -2.55003897 -0.54416359 1.13741862 -1.22549952 -1.06808001], Predicted=0 X=[-1.01304317 -0.77632281 -0.03463842 -1.04335466 -0.31000812 0.56993158 -0.29088194 -1.17614346 0.8062603 -0.34918426 0.88235467], Predicted=0 X=[-0.06493106 -0.77632281 0.37855928 -0.3335111 -0.2642326 -0.48855566 -0.83213831 -0.00915417 1.20365029 0.79002558 0.15094166], Predicted=0 X=[ 0.29061097 -0.47865728 0.46119882 1.4410978 0.55972676 -0.5473605 0.79163081 1.17789797 -1.90923792 -0.26155273 -1.23061624], Predicted=0 X=[ 1.12020906 1.10889223 -0.6131152 0.69181849 0.60550228 -0.13572658 1.00342678 0.49241715 -0.98199462 -0.61207884 0.31347789], Predicted=0 X=[ 0.17209696 -1.27243203 0.04800112 -0.98420103 -0.31000812 -0.84138474 0.90929523 -0.44384932 0.87249197 1.14055168 0.23220977], Predicted=0 X=[-0.4204731 -0.67710097 0.54383836 0.1791537 -0.21845708 0.80515096 -0.54974368 -0.45053694 0.14394366 -0.52444731 0.394746 ], Predicted=0 X=[ 1.12020906 -0.28021359 0.29591974 -1.06307253 -0.12690604 -1.48823805 -1.37339468 -0.91867018 -0.71706797 -0.96260494 0.71981845], Predicted=0 X=[ 0.05358295 0.41433932 -0.6131152 -0.80674014 -0.7219878 -1.4294332 -0.83213831 -0.99223397 -0.8495313 -0.61207884 0.47601411], Predicted=0 X=[-1.13155718 -0.87554465 0.29591974 -1.10250829 -0.85931436 -1.89987197 -2.76183494 -1.44699197 -0.6508363 -1.57602562 0.23220977], Predicted=0 X=[-0.89452915 0.61278301 -0.53047566 -0.74758651 -0.99664092 -0.90018958 -0.78507254 -1.14604918 1.40234528 1.57870931 1.36996334], Predicted=1 X=[-0.30195909 -0.18099175 1.0396756 0.10028219 0.05619604 1.39319943 1.05049255 0.63954474 0.077712 -0.34918426 -0.9868119 ], Predicted=0 X=[-0.30195909 0.71200485 -0.6131152 -0.72786863 -0.035355 -0.95899443 -0.22028328 -1.50718053 0.34263866 -0.08628968 2.02010823], Predicted=1 X=[-2.55372533 3.88710387 -2.01798739 -1.06307253 -1.179743 -1.78226228 -3.04422957 -2.27625656 0.74002864 -1.31313104 2.5077169 ], Predicted=0 X=[ 0.88318104 0.11667379 0.70911744 -1.0039189 -0.4931102 -1.01779928 -1.23219737 -1.079173 -1.31315295 -0.87497341 0.63855033], Predicted=0 X=[-0.77601514 1.90266698 -1.0263129 -1.06307253 -0.08113052 -1.31182351 -0.94980274 -0.19306366 -0.31967798 -0.26155273 -1.06808001], Predicted=0 X=[ 1.94980715 -0.87554465 1.20495468 -1.04335466 -0.90508988 -0.72377504 -1.89111817 -0.73141688 -1.90923792 0.08897337 -0.01159456], Predicted=0 X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=0 X=[-0.4204731 0.91044854 -0.03463842 -0.57012562 -0.44733468 -0.72377504 -1.09100005 -0.8919197 -0.05475133 -0.96260494 0.55728222], Predicted=0 X=[ 0.17209696 -1.66931941 -0.11727796 -0.35322897 0.51395124 1.39319943 0.13271 0.52585524 2.39582024 -0.43681578 -0.90554379], Predicted=0 X=[-1.01304317 -0.28021359 0.54383836 -0.13633233 0.28507364 1.21678489 0.32097309 -0.01584179 -0.18721466 3.41897136 -0.01159456], Predicted=0 X=[-0.65750113 -0.87554465 -0.36519658 -0.86589377 -1.08819196 -0.13572658 -0.99686851 -1.67437097 -0.98199462 0.43949948 1.85757201], Predicted=1 X=[ 0.88318104 0.41433932 2.03135009 2.04249304 0.1935226 0.45232188 0.57983483 1.96369304 -0.25344632 0.43949948 -1.06808001], Predicted=0 X=[ 0.527639 -0.57787912 0.29591974 1.79601958 0.10197156 2.04005274 1.52115026 1.65940644 0.40887032 2.45502457 -0.90554379], Predicted=0 X=[ 2.06832116e+00 -7.76322810e-01 7.09117443e-01 -9.64483150e-01 -2.18457080e-01 -1.81168871e-02 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-0.53047566 -0.29407534 -0.53888572 -1.01779928 -0.38501348 -0.81166829 1.13741862 1.92923542 1.61376767], Predicted=1 X=[ 0.88318104 -0.67710097 0.87439652 -0.88561164 -0.44733468 -1.48823805 -0.45561214 -0.91198256 -1.18068962 1.84160389 1.85757201], Predicted=0 X=[ 1.35723709 -0.9747665 1.28759423 -0.90532952 0.69705332 -1.48823805 0.15624289 0.05772201 0.27640699 -0.08628968 -0.41793512], Predicted=0 X=[ 0.29061097 -0.77632281 0.29591974 -0.96448315 0.14774708 -0.42975081 -0.22028328 -0.59097691 -0.25344632 0.26423642 0.23220977], Predicted=0 X=[-0.30195909 -0.28021359 0.2132802 0.33689671 -0.035355 1.09917519 0.97989389 0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=0 X=[ 0.05358295 0.11667379 -1.4395106 0.08056431 -0.53888572 1.7460285 1.73294624 0.49241715 -0.71706797 -0.87497341 -1.23061624], Predicted=0 X=[-0.4204731 0.11667379 1.53551285 -0.9250474 -0.53888572 0.33471219 1.28582141 -0.60100834 0.40887032 0.87765711 -0.09286267], Predicted=0 X=[-0.65750113 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0.40912499 0.31511748 0.13064066 0.15943582 0.01042052 0.56993158 0.93282812 0.49241715 -0.31967798 0.35186795 -0.66173945], Predicted=0 X=[-0.77601514 -0.28021359 -1.0263129 1.80587852 -0.31000812 -0.42975081 0.48570329 1.39524554 1.93219859 1.31581474 -0.74300757], Predicted=0 X=[-1.84264125 1.20811407 -0.69575474 -0.49125411 -0.67621228 0.56993158 -0.1967504 -1.10592347 0.8062603 0.79002558 1.00425684], Predicted=0 X=[ 0.17209696 -1.07398834 0.29591974 -0.96448315 -0.81353884 -0.5473605 -1.49105911 -0.61103976 0.74002864 -0.26155273 0.23220977], Predicted=0 X=[ 0.17209696 -1.17321019 -0.69575474 1.55940506 -0.08113052 -0.48855566 0.25037443 1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=0 X=[-0.53898711 -0.28021359 0.29591974 -0.37294685 -0.31000812 0.33471219 0.20330866 -0.64447785 -0.05475133 -0.78734189 0.47601411], Predicted=0 X=[ 1.12020906 -1.17321019 0.6264779 -0.9250474 -0.90508988 -0.37094597 0.03857846 -1.01229682 -1.11445795 2.5426561 1.61376767], Predicted=1 X=[ 0.88318104 0.31511748 -0.36519658 0.81012575 -0.2642326 -0.84138474 0.15624289 0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=0 X=[-0.4204731 -0.77632281 -0.03463842 -0.96448315 -0.31000812 0.04068796 -0.66740811 -1.31992724 0.21017533 1.40344626 1.20742712], Predicted=1 X=[ 0.76466702 0.31511748 1.45287331 1.65799445 -0.31000812 1.56961397 1.54468315 1.39524554 -0.8495313 0.96528863 -0.82427568], Predicted=0 X=[-1.96115527 3.19255096 -2.18326647 0.12000007 -0.08113052 -0.13572658 0.20330866 0.12459818 0.93872363 0.79002558 -0.66173945], Predicted=0 X=[ 1.00169505 0.01745194 2.44454779 0.92843301 -0.31000812 1.33439458 0.95636101 1.29493128 -0.71706797 -0.43681578 -1.39315246], Predicted=0 X=[ 1.12020906 -0.9747665 1.0396756 1.42137993 0.28507364 0.15829765 -0.47914502 1.32836936 -0.25344632 0.08897337 -0.41793512], Predicted=0 X=[-1.01304317 1.60500145 -0.6131152 -0.64899712 0.33084916 1.27558973 -0.24381617 -1.40686627 0.21017533 -0.87497341 1.7763039 ], Predicted=0 X=[ 0.76466702 -0.9747665 -0.1999175 0.02141068 -0.76776332 1.04037035 0.50923618 -0.42378647 -1.04822629 -0.96260494 0.31347789], Predicted=0 X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=0 X=[-0.53898711 0.71200485 -1.0263129 -0.84617589 0.23929812 0.62873642 0.76809792 -0.27665888 -0.18721466 0.08897337 -0.82427568], Predicted=0 X=[-0.18344508 2.49799805 -0.36519658 -0.4123826 1.06325748 -0.90018958 -0.57327657 -1.29986438 0.21017533 0.87765711 2.34518068], Predicted=0 X=[ 0.40912499 1.20811407 1.28759423 -1.04335466 0.10197156 -1.4294332 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=0 X=[ 2.06832116 -1.17321019 0.37855928 -0.58984349 -0.2642326 0.33471219 0.10917712 -0.27665888 -1.5780796 -0.87497341 -0.2553989 ], Predicted=0 X=[-0.18344508 -0.37943543 -0.28255704 0.75097212 1.109033 0.51112673 0.95636101 0.88029898 -2.17416458 -0.26155273 -1.31188435], Predicted=0 X=[ 2.4238632 -0.18099175 -0.03463842 0.33689671 -0.99664092 0.68754127 1.49761738 0.51916762 -0.38590965 -0.26155273 0.23220977], Predicted=0 X=[-0.53898711 -0.57787912 0.37855928 0.53407548 -0.08113052 -0.01811689 -0.26734905 -0.25659603 -1.44561627 -1.66365715 0.394746 ], Predicted=0 X=[ 0.29061097 0.61278301 -0.1999175 -0.23492171 -0.63043676 0.04068796 0.03857846 -0.79160544 1.07118696 -0.17392121 1.45123145], Predicted=1 X=[-0.06493106 -0.67710097 -0.1999175 -0.68843288 0.01042052 0.27590734 -0.40854637 -0.91198256 -0.78329963 1.40344626 0.31347789], Predicted=0 X=[-0.30195909 -0.9747665 -0.44783612 -0.9250474 -0.21845708 1.04037035 0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=0 X=[ 0.527639 0.91044854 -1.4395106 1.67771232 0.10197156 1.39319943 2.39186704 1.66943786 -0.38590965 -0.34918426 -1.31188435], Predicted=0 X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=0 X=[-0.06493106 0.71200485 -0.11727796 -0.78702226 0.10197156 -0.01811689 -0.83213831 -0.97885873 0.60756531 -0.26155273 1.20742712], Predicted=0 X=[-2.55372533e+00 -1.32204295e+00 -3.65196580e-01 -1.06307253e+00 -1.72681560e-01 -1.81168871e-02 -1.13806583e+00 -1.07917300e+00 3.78668518e+00 1.34184656e-03 6.38550334e-01], Predicted=1 X=[-0.65750113 -0.67710097 -0.36519658 1.04674027 0.10197156 0.80515096 0.20330866 0.26503815 0.21017533 -0.96260494 0.23220977], Predicted=0 X=[-0.06493106 0.41433932 0.29591974 -0.58984349 -1.04241644 -0.95899443 -1.20866448 -1.27980153 -0.31967798 0.35186795 1.7763039 ], Predicted=1 X=[ 1.71277913 -0.67710097 1.28759423 2.64388828 0.37662468 0.86395581 2.18007107 2.39838819 -1.31315295 0.43949948 -1.06808001], Predicted=0 X=[ 0.76466702 -0.0817699 0.2132802 0.12000007 -0.44733468 0.56993158 0.60336772 -0.04259226 -1.04822629 -1.40076257 0.394746 ], Predicted=0 X=[-0.89452915 -0.0817699 -0.69575474 -0.90532952 -0.21845708 -1.54704289 -0.690941 -0.37697314 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-0.6131152 0.1791537 0.05619604 -0.31214112 1.92120932 0.73317139 1.26988195 0.79002558 -0.33666701], Predicted=0 X=[-0.30195909 1.40655776 -1.68742922 1.26363691 -0.08113052 -0.5473605 0.46217041 1.23474272 0.34263866 -0.17392121 -1.23061624], Predicted=0 X=[-0.89452915 0.41433932 -0.03463842 0.8495615 -0.44733468 -0.48855566 -0.94980274 0.3954467 1.0049553 0.26423642 -0.2553989 ], Predicted=0 X=[-1.25007119 3.19255096 -2.76174325 -1.0039189 -0.08113052 2.15766243 1.37995295 -0.67122832 2.4620519 -0.52444731 0.31347789], Predicted=0 X=[ 1.83129314 0.41433932 0.13064066 1.04674027 -0.76776332 -1.89987197 -2.1735128 0.12125437 -1.11445795 -1.31313104 1.04489089], Predicted=0 X=[-0.77601514 -0.28021359 1.12231514 1.02702239 0.10197156 1.56961397 1.68588046 0.9271123 0.01148034 0.08897337 -0.82427568], Predicted=0 X=[-1.01304317 0.41433932 -1.77006876 -0.09689658 -0.21845708 -0.07692173 1.21522275 0.12459818 -0.18721466 2.01686694 -0.41793512], Predicted=0 X=[-0.18344508 -0.0817699 -0.28255704 1.48053356 -0.76776332 -0.07692173 -0.17321751 0.42554098 1.13741862 0.08897337 1.20742712], Predicted=1 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[ 2.54237721 -0.77632281 -0.03463842 -0.57012562 0.14774708 -1.48823805 -2.31471011 0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=0 X=[-0.30195909 -1.17321019 0.2132802 -1.04335466 -0.67621228 -0.48855566 -1.06746717 -1.73455953 0.27640699 -1.31313104 2.18264446], Predicted=1 X=[-1.01304317 0.01745194 -0.69575474 -0.90532952 -0.17268156 -1.60584774 -0.71447388 -0.37697314 -0.71706797 0.527131 -1.23061624], Predicted=0 X=[ 0.76466702 -0.28021359 -0.11727796 0.35661459 -0.99664092 1.04037035 1.66234758 0.53588667 -0.45214131 -0.26155273 0.23220977], Predicted=0 X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[-0.06493106 -0.37943543 -0.1999175 2.34812013 0.01042052 0.27590734 0.08564423 1.99713113 0.74002864 -0.69971036 -1.47442057], Predicted=0 X=[-1.01304317 1.20811407 -0.28255704 -0.94476527 0.05619604 -0.31214112 -0.50267791 -0.31009697 -0.12098299 -0.08628968 -0.33666701], Predicted=0 X=[-0.30195909 4.97854415 1.37023377 -0.96448315 -0.035355 -0.31214112 -0.12615174 -0.99892159 0.40887032 -0.08628968 0.96362278], Predicted=0 X=[ 8.70510587 -0.0817699 1.28759423 -1.04335466 -0.40155916 -0.13572658 0.41510463 -0.67791594 -0.25344632 0.43949948 0.47601411], Predicted=1 X=[ 3.01643326 -1.17321019 -0.28255704 -0.98420103 -0.17268156 -0.5473605 0.88576235 0.45897907 -0.25344632 -0.26155273 -1.14934812], Predicted=0 X=[ 3.60900333e+00 7.21103565e+00 1.03967560e+00 -9.84201026e-01 1.04205195e-02 -7.69217335e-02 1.09755832e+00 8.60236126e-01 -1.11445795e+00 1.34184656e-03 -2.55398896e-01], Predicted=0 X=[-0.77601514 0.01745194 1.45287331 0.29746096 0.46817572 0.80515096 1.59174892 0.52585524 -0.05475133 0.26423642 -0.90554379], Predicted=0 X=[ 0.05358295 1.60500145 -0.53047566 -0.27435747 -0.35578364 -0.13572658 0.65043349 -0.93204541 0.077712 -0.61207884 1.36996334], Predicted=0 X=[-5.38987115e-01 2.15895632e-01 -5.30475661e-01 -2.74357467e-01 5.59726758e-01 -4.88555658e-01 2.97440205e-01 -6.84603557e-01 2.10175327e-01 1.34184656e-03 1.36996334e+00], Predicted=0 X=[ 0.527639 -0.77632281 0.46119882 -0.80674014 0.10197156 -0.6649702 -1.20866448 -1.19955012 -1.64431127 -1.22549952 1.20742712], Predicted=0 X=[ 2.18683518 0.31511748 3.27094319 1.569264 -0.08113052 -0.48855566 1.23875564 2.04060065 -1.51184794 3.41897136 -1.47442057], Predicted=0 X=[-1.25007119 2.99410727 -2.76174325 -0.96448315 -1.179743 -0.13572658 -0.99686851 -1.62087003 0.67379698 -0.96260494 1.53249956], Predicted=0 X=[-1.01304317 1.10889223 -1.35687106 1.1058939 0.01042052 1.7460285 2.53306435 1.19461701 -0.25344632 -0.96260494 -1.23061624], Predicted=0 X=[-1.48709922 -0.9747665 2.03135009 -1.01377784 -0.53888572 -0.37094597 -0.22028328 -1.40017865 2.13089358 0.96528863 1.20742712], Predicted=1 X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=0 X=[-0.65750113 0.41433932 -1.35687106 2.23967181 0.6512778 0.92276066 1.21522275 1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=0 X=[ 0.17209696 -0.47865728 0.70911744 -1.04335466 0.74282884 -0.01811689 -0.90273697 -0.2833465 -0.98199462 -0.78734189 -1.06808001], Predicted=0 X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=0 X=[-0.18344508 -0.9747665 -0.69575474 1.55940506 0.10197156 2.56929635 0.25037443 1.16117892 -0.45214131 -1.05023647 -0.66173945], Predicted=0 X=[-1.3685852 -1.76854125 -0.53047566 -1.0039189 0.05619604 -0.84138474 -0.90273697 -0.41041123 0.54133365 -0.26155273 -0.82427568], Predicted=0 X=[-0.30195909 0.41433932 -0.94367336 2.0326341 0.01042052 0.15829765 -0.12615174 1.29493128 0.21017533 1.57870931 -0.09286267], Predicted=0 X=[ 0.76466702 0.51356116 -0.11727796 0.92843301 -0.44733468 -0.60616535 -0.45561214 0.72648377 -0.25344632 -1.31313104 -0.01159456], Predicted=0 X=[-1.13155718 0.21589563 -0.36519658 -1.04335466 -0.44733468 -0.72377504 -1.93818394 -1.21292535 0.01148034 -0.96260494 0.63855033], Predicted=0 X=[-0.89452915 1.30733592 -2.76174325 -0.94476527 0.78860436 0.04068796 -1.20866448 -0.87854447 0.54133365 1.57870931 0.23220977], Predicted=0 X=[-2.19818329 -0.23060267 -0.94367336 -0.72786863 -0.12690604 0.62873642 0.34450598 -0.5508512 3.72045352 2.36739305 0.63855033], Predicted=1 X=[-0.30195909 -1.07398834 -0.44783612 -0.90532952 -0.17268156 1.56961397 0.93282812 -0.6645407 -0.25344632 -0.61207884 -0.2553989 ], Predicted=0 X=[-1.01304317 1.40655776 0.6264779 1.18476541 -0.63043676 0.86395581 0.95636101 0.73317139 -0.31967798 0.96528863 -0.66173945], Predicted=0 X=[-0.06493106 -0.0817699 -0.44783612 0.27774308 -0.35578364 -0.5473605 -1.16159871 -0.84510638 0.34263866 -1.31313104 1.61376767], Predicted=1 X=[ 0.17209696 0.11667379 1.28759423 -0.51097199 0.05619604 0.09949281 -0.05555308 -0.07603035 -1.5780796 -0.78734189 -0.90554379], Predicted=0 X=[ 0.29061097 1.00967039 0.70911744 1.06645815 -0.21845708 -0.19453143 1.28582141 0.73985901 -0.98199462 0.00134185 -0.41793512], Predicted=0 X=[-0.53898711 -0.37943543 -0.53047566 -0.96448315 -0.2642326 -0.01811689 -0.78507254 -1.63424527 -0.38590965 -1.66365715 1.53249956], Predicted=0 X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=0 X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=0 X=[-1.3685852 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=1 X=[-0.30195909 -0.87554465 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Predicted=0 X=[-0.30195909 -1.17321019 -0.36519658 -0.90532952 0.1935226 0.27590734 0.20330866 -0.94542065 -0.8495313 -0.43681578 0.71981845], Predicted=0 X=[-1.72412724 -0.0817699 -0.94367336 -0.35322897 -1.08819196 -0.37094597 -0.73800677 -1.71784049 0.93872363 0.43949948 2.67025313], Predicted=1 X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=0 X=[ 0.17209696 0.11667379 0.29591974 -0.29407534 -0.53888572 -0.5473605 -0.26734905 -0.41041123 -0.12098299 -0.43681578 0.23220977], Predicted=0 X=[ 1.12020906 -0.0817699 0.04800112 -0.94476527 0.01042052 -0.48855566 0.36803886 -0.44384932 -0.91576296 -0.34918426 -0.01159456], Predicted=0 X=[ 0.64615301 0.11667379 1.37023377 -0.90532952 -0.17268156 -0.01811689 -0.26734905 -0.10946844 1.7335036 0.08897337 -0.2553989 ], Predicted=0 X=[ 0.29061097 0.31511748 0.37855928 -1.02363678 -0.44733468 -1.48823805 -0.33794771 -0.54416359 -0.31967798 -0.43681578 -0.49920323], Predicted=0 X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=0 X=[-0.30195909 -1.07398834 0.2132802 -0.88561164 -0.44733468 0.15829765 -0.66740811 -1.15942441 -0.91576296 0.43949948 0.71981845], Predicted=0 X=[ 1.12020906 0.01745194 1.28759423 -1.0039189 0.01042052 -0.48855566 0.08564423 -0.14290653 -0.6508363 0.87765711 -0.2553989 ], Predicted=0 X=[-0.4204731 0.51356116 -0.77839428 1.59884082 0.10197156 -0.90018958 -0.99686851 0.17809912 -0.8495313 -1.66365715 0.80108656], Predicted=0 X=[-0.30195909 0.31511748 -2.18326647 -0.96448315 -0.58466124 1.15798004 0.13271 -0.65116547 -0.18721466 -0.61207884 -0.41793512], Predicted=0 X=[-0.83527215 -0.67710097 0.29591974 -0.62927925 -1.13396748 -0.90018958 -1.37339468 -1.09254824 1.33611362 -0.17392121 1.20742712], Predicted=1 X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 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-1.18068962 -0.96260494 0.06967355], Predicted=0 X=[ 0.64615301 1.00967039 0.04800112 0.37633246 0.28507364 0.51112673 0.69749926 0.74989043 -0.51837298 0.26423642 -1.06808001], Predicted=0 X=[-0.77601514 -0.77632281 -0.6131152 0.65238274 -0.7219878 0.2171025 -0.8556712 -1.079173 -0.71706797 0.61476253 1.93884012], Predicted=1 X=[ 1.00169505 0.01745194 2.03135009 1.12561178 0.01042052 1.45200427 0.90929523 1.42868363 -0.71706797 -0.26155273 -1.31188435], Predicted=0 X=[-2.07966928 -0.28021359 0.2132802 -1.0039189 -0.4931102 0.27590734 -1.42046046 -1.6476205 0.27640699 1.31581474 1.28869523], Predicted=1 X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=0 X=[ 1.12020906 -0.87554465 -0.11727796 0.19887157 -1.4086206 0.68754127 -0.33794771 -0.41709885 -1.31315295 -0.87497341 0.394746 ], Predicted=0 X=[-0.4204731 1.80344514 -0.77839428 1.00730452 0.23929812 1.21678489 0.76809792 0.61948189 -0.71706797 0.61476253 -0.58047134], Predicted=0 X=[-0.18344508 -0.67710097 -0.11727796 -0.19548596 0.05619604 -0.37094597 0.03857846 0.32522671 1.33611362 -0.26155273 -0.66173945], Predicted=0 X=[-0.53898711 0.71200485 -1.10895244 -0.13633233 -0.53888572 -1.01779928 -0.50267791 0.12459818 0.93872363 -0.52444731 -0.33666701], Predicted=0 X=[-0.06493106 -0.18099175 0.70911744 -0.9250474 0.14774708 0.33471219 -0.38501348 -0.34353506 1.86596693 -0.08628968 -0.01159456], Predicted=0 X=[-2.55372533 1.75383422 -1.27423152 -0.88561164 -0.44733468 -0.13572658 -0.76153965 -2.19600515 0.14394366 2.98081373 2.83278935], Predicted=1 X=[ 1.12020906 0.01745194 -0.1999175 -0.84617589 0.01042052 -0.42975081 1.63881469 0.10453533 0.27640699 1.31581474 -0.58047134], Predicted=0 X=[ 0.64615301 -1.17321019 1.28759423 -1.02363678 0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=0 X=[ 0.17209696 -0.0817699 -0.36519658 -0.49125411 0.60550228 -0.42975081 1.42701872 0.69304568 2.32958858 0.87765711 -0.17413078], Predicted=0 X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382 -0.22028328 0.25835054 -0.31967798 0.00134185 -0.74300757], Predicted=0 X=[ 0.527639 -0.47865728 0.04800112 0.57351123 0.28507364 -0.95899443 -1.23219737 0.57266857 -0.98199462 0.61476253 -0.41793512], Predicted=0 X=[ 0.05358295 0.41433932 -1.35687106 0.23830733 -0.17268156 1.98124789 1.89767644 0.62616951 -0.38590965 -0.78734189 -1.31188435], Predicted=0 X=[-0.53898711 -1.27243203 0.2132802 -0.90532952 -0.53888572 0.45232188 0.27390732 -0.61103976 1.53480861 1.75397237 0.394746 ], Predicted=0 X=[ 2.77940524 0.41433932 0.70911744 -1.0039189 0.01042052 -1.25301866 1.12109121 0.29178862 -0.71706797 -0.08628968 -0.74300757], Predicted=0 X=[-0.30195909 -0.37943543 -0.53047566 1.85517321 -0.4931102 0.62873642 1.16815698 1.39524554 0.34263866 0.1766049 -1.06808001], Predicted=0 X=[ 0.29061097 0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474 0.13271 -0.33015982 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0.26503815 1.53480861 0.26423642 -1.14934812], Predicted=0 X=[-0.77601514 -0.37943543 -0.53047566 2.05235198 -0.2642326 0.74634612 -0.22028328 0.9638942 0.27640699 -0.96260494 -0.01159456], Predicted=0 X=[-0.30195909 -0.47865728 -0.11727796 -1.08279041 -0.21845708 -0.60616535 -1.39692757 -0.47728741 1.33611362 0.43949948 -0.2553989 ], Predicted=0 X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=0 X=[-0.30195909 0.01745194 -0.28255704 1.28335479 -0.58466124 -0.25333627 0.90929523 0.25500673 -0.45214131 -0.87497341 0.55728222], Predicted=0 X=[ 3.3719753 -0.37943543 1.28759423 -0.29407534 -0.63043676 -1.89987197 -2.8324336 -0.11615605 -2.24039624 0.43949948 -0.41793512], Predicted=0 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[ 0.76466702 0.11667379 -0.77839428 0.69181849 0.55972676 -0.60616535 -0.54974368 0.5492619 -0.25344632 -0.26155273 0.31347789], Predicted=0 X=[ 0.29061097 -0.0817699 -0.53047566 0.79040787 -0.21845708 -0.5473605 -0.57327657 -0.22650175 -0.98199462 0.26423642 0.80108656], Predicted=0 X=[-0.06493106 2.49799805 0.13064066 -0.51097199 -0.53888572 -0.5473605 -0.690941 -1.14604918 0.47510198 0.70239405 1.7763039 ], Predicted=0 X=[-0.06493106 -0.18099175 1.86607101 1.08617602 -0.12690604 1.68722366 2.06240664 0.99398848 -1.11445795 1.22818321 -0.9868119 ], Predicted=0 X=[-0.06493106 0.91044854 -0.44783612 -0.47153623 -0.7219878 -0.37094597 -1.39692757 -1.34667771 0.27640699 -0.26155273 1.53249956], Predicted=1 X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=0 X=[-1.48709922 -0.18099175 -0.6131152 -0.13633233 -0.67621228 -1.37062835 -1.37339468 -0.57760167 0.40887032 -0.96260494 0.23220977], Predicted=0 X=[ 0.17209696 0.21589563 1.45287331 1.42137993 0.1935226 0.27590734 0.69749926 1.19461701 -0.78329963 0.26423642 -0.74300757], Predicted=0 X=[ 0.64615301 0.41433932 -0.94367336 -0.9250474 0.23929812 0.86395581 0.95636101 0.49241715 0.60756531 1.75397237 -1.31188435], Predicted=0 X=[-1.01304317 0.11667379 -1.0263129 -1.0039189 0.4224002 0.39351704 0.69749926 -0.87854447 0.87249197 -0.52444731 0.47601411], Predicted=0 X=[-0.30195909 -0.57787912 0.2132802 -0.17576808 -0.76776332 -0.31214112 -0.78507254 -0.65785309 0.077712 -0.17392121 1.04489089], Predicted=0 X=[ 0.17209696 -0.47865728 -0.03463842 -1.06307253 -0.12690604 0.62873642 -0.66740811 -0.95210826 -0.98199462 1.40344626 0.23220977], Predicted=0 X=[-0.53898711 0.71200485 -0.44783612 -1.04335466 0.4224002 -1.54704289 0.50923618 0.00756487 1.53480861 0.08897337 -1.14934812], Predicted=0 X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=0 X=[-1.60561323 3.39099465 -0.03463842 -0.9250474 -0.40155916 -0.6649702 -0.47914502 -2.15587945 -0.25344632 -0.87497341 2.46708285], Predicted=0 X=[ 1.35723709 -0.57787912 -0.44783612 1.50025143 0.33084916 2.80451574 1.37995295 1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=0 X=[ 1.23872307 -0.18099175 0.6264779 1.72700701 -0.2642326 0.15829765 1.82707778 1.19461701 -1.51184794 0.96528863 -0.41793512], Predicted=0 X=[-1.13155718 -0.9747665 -0.36519658 -0.35322897 -0.63043676 1.92244304 -0.0320202 -0.8150121 0.14394366 -0.96260494 0.63855033], Predicted=0 X=[ 1.35723709 -0.37943543 -0.6131152 -0.9250474 -0.58466124 0.04068796 -0.05555308 -0.29003411 1.66727194 0.1766049 -0.09286267], Predicted=0 X=[-0.18344508 -0.18099175 -0.28255704 -0.90532952 -0.12690604 -0.60616535 -0.40854637 0.12459818 1.66727194 1.05292016 -0.2553989 ], Predicted=0 X=[-1.48709922 0.16628471 -1.10895244 -0.82645801 0.14774708 -1.01779928 -0.10261885 -0.08271797 0.14394366 1.66634084 -0.41793512], Predicted=0 X=[-0.77601514 0.41433932 -1.77006876 -0.31379322 0.37662468 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1.65799445e+00 3.76624679e-01 -4.29750812e-01 8.38696578e-01 1.65606263e+00 -5.47513286e-02 1.34184656e-03 -6.61739454e-01], Predicted=0 X=[ 0.17209696 -1.27243203 0.37855928 1.75658383 -0.035355 1.09917519 -0.43207925 1.16117892 -0.05475133 -0.61207884 -0.58047134], Predicted=0 X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=0 X=[ 0.64615301 -0.37943543 0.54383836 -0.4123826 -0.63043676 -1.54704289 -1.0204014 -0.67791594 -0.6508363 -0.87497341 0.47601411], Predicted=0 X=[-0.65750113 -0.9747665 0.2132802 -1.02363678 -0.53888572 -0.5473605 -0.64387523 -1.09923585 -0.18721466 0.1766049 0.394746 ], Predicted=0 X=[-0.06493106 0.51356116 -0.28255704 -0.84617589 0.05619604 -0.01811689 0.20330866 -1.81481094 0.34263866 0.61476253 2.34518068], Predicted=1 X=[-0.65750113 1.20811407 -0.77839428 -0.25463959 -0.44733468 0.45232188 -0.17321751 -0.72472926 0.34263866 -0.43681578 0.63855033], Predicted=0 X=[ 0.29061097 0.61278301 -1.10895244 -0.05746082 0.78860436 0.68754127 0.60336772 0.19147436 -0.12098299 -0.61207884 -0.41793512], Predicted=0 X=[-0.4204731 0.8112267 -0.11727796 -1.04335466 -0.67621228 -1.31182351 -1.70285508 -0.81166829 -0.58460464 -0.26155273 0.06967355], Predicted=0 X=[-1.48709922 -0.87554465 -0.1999175 -0.72786863 -0.85931436 -1.4294332 -0.90273697 -1.46705482 1.79973526 -0.78734189 2.18264446], Predicted=1 X=[ 0.17209696 -0.67710097 -0.44783612 0.45520397 -0.035355 0.09949281 1.96827509 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=0 X=[-1.25007119 0.41433932 -0.86103382 -0.96448315 -0.58466124 0.2171025 -0.40854637 -1.78137286 -1.51184794 -1.22549952 1.20742712], Predicted=0 X=[-0.53898711 2.69644174 -0.6131152 0.63266486 -0.85931436 -0.90018958 -0.80860543 -0.54416359 0.21017533 2.10449847 2.10137634], Predicted=1 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 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0.9815655 1.21522275 -0.41041123 0.27640699 0.08897337 0.23220977], Predicted=0 X=[-1.01304317 3.34138372 -2.43118509 -1.10250829 -0.63043676 -1.60584774 -2.07938126 -1.22630059 -0.31967798 -0.78734189 0.394746 ], Predicted=0 X=[-1.01304317 -0.77632281 -0.77839428 -0.21520384 1.3379106 0.80515096 1.47408449 0.21153721 0.14394366 -0.52444731 -0.82427568], Predicted=0 X=[-1.01304317 -0.0817699 -0.53047566 -0.94476527 0.01042052 -0.19453143 -0.59680945 -0.54416359 1.46857694 0.1766049 -0.01159456], Predicted=0 X=[-0.89452915 0.31511748 -0.6131152 -0.82645801 0.23929812 -0.42975081 0.67396638 -0.47728741 1.20365029 -0.17392121 -0.09286267], Predicted=0 X=[-1.01304317 -0.47865728 0.04800112 -1.0039189 -0.9508654 -0.72377504 -0.64387523 -1.47708625 1.13741862 -1.05023647 1.7763039 ], Predicted=1 X=[ 0.64615301 -0.9747665 0.54383836 -0.94476527 0.05619604 -0.78257989 -0.8556712 -0.10946844 0.60756531 -0.43681578 0.15094166], Predicted=0 X=[ 2.77940524 -0.57787912 0.54383836 -0.78702226 0.37662468 -1.01779928 0.29744021 0.39210289 -0.98199462 -0.26155273 -0.9868119 ], Predicted=0 X=[ 0.40912499 0.01745194 0.37855928 -0.86589377 0.28507364 -0.72377504 0.41510463 -0.94542065 -0.38590965 0.26423642 0.47601411], Predicted=0 X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=0 X=[-0.53898711 0.31511748 -0.6131152 1.34250842 0.01042052 1.27558973 1.56821604 1.16117892 -0.12098299 -0.69971036 -0.74300757], Predicted=0 X=[ 2.42386320e+00 6.12783009e-01 -1.17277959e-01 -1.00391890e+00 -2.18457080e-01 -1.37062835e+00 1.16815698e+00 4.25540977e-01 -1.20982993e-01 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-1.01304317 -0.0817699 -1.19159198 -0.9250474 -1.179743 -0.6649702 -0.66740811 -1.41355388 0.87249197 -0.17392121 1.69503579], Predicted=1 X=[-0.77601514 -0.0817699 1.12231514 -1.02363678 4.58797251 -0.42975081 -0.78507254 -0.59766453 0.27640699 0.1766049 -0.33666701], Predicted=0 X=[-0.06493106 -1.07398834 0.04800112 -0.86589377 -0.2642326 0.15829765 -0.64387523 -1.34667771 0.34263866 -0.34918426 1.93884012], Predicted=1 X=[ 0.64615301 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.72377504 -0.66740811 -0.47728741 -0.78329963 -0.96260494 0.31347789], Predicted=0 X=[ 0.17209696 -0.28021359 -0.03463842 -0.84617589 -1.13396748 -1.07660412 -1.46752623 -1.27645772 0.47510198 -0.34918426 1.45123145], Predicted=1 X=[-0.65750113 0.01745194 -0.77839428 0.40590928 -0.67621228 -0.19453143 0.79163081 0.59273142 1.33611362 0.70239405 -0.66173945], Predicted=0 X=[-0.77601514 0.8112267 0.37855928 -0.62927925 -0.67621228 -0.90018958 -1.16159871 -1.4938053 -0.8495313 -1.40076257 1.20742712], Predicted=0 X=[-0.53898711 -1.47087572 -0.44783612 -1.08279041 -0.035355 -0.19453143 -1.20866448 -0.76151116 1.86596693 0.26423642 0.55728222], Predicted=0 X=[ 0.17209696 -0.47865728 0.2132802 0.13971794 -0.81353884 -0.25333627 -0.80860543 -0.61103976 1.07118696 -0.17392121 1.28869523], Predicted=1 X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=0 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[ 0.88318104 -0.0817699 -0.36519658 -0.76730438 0.60550228 0.09949281 -0.54974368 -0.24990841 -0.6508363 -1.05023647 -0.58047134], Predicted=0 X=[ 0.527639 -1.47087572 -0.53047566 -0.35322897 1.5667882 -0.07692173 0.79163081 -0.07603035 0.27640699 -0.87497341 0.47601411], Predicted=0 X=[-0.4204731 -1.27243203 1.78343147 -0.09689658 -0.035355 2.33407697 0.55630195 0.26503815 -1.44561627 -0.78734189 -0.9868119 ], Predicted=0 X=[-0.53898711 0.01745194 0.6264779 0.08056431 -0.035355 1.51080912 1.82707778 0.39210289 -0.6508363 -0.26155273 -0.90554379], Predicted=0 X=[ 0.29061097 1.60500145 -0.53047566 0.39605034 0.51395124 1.45200427 0.50923618 -0.48731884 -0.18721466 -1.13786799 1.04489089], Predicted=0 X=[ 1.23872307 -0.9747665 0.29591974 -1.02363678 -0.2642326 -1.13540897 -1.49105911 -0.67791594 -0.05475133 1.22818321 0.23220977], Predicted=0 X=[-0.53898711 1.80344514 -0.94367336 1.63827657 0.05619604 0.92276066 1.05049255 1.42032411 1.33611362 0.96528863 -0.01159456], Predicted=0 X=[ 1.23872307 0.91044854 -0.1999175 -0.69829181 -0.40155916 -1.78226228 -2.69123629 -0.97885873 0.01148034 -1.13786799 1.126159 ], Predicted=0 X=[ 0.40912499 2.99410727 -0.53047566 -0.11661445 -0.63043676 0.27590734 -0.47914502 -1.05242253 -0.12098299 0.35186795 2.02010823], Predicted=0 X=[ 0.527639 -0.77632281 0.87439652 -0.98420103 -0.035355 -0.84138474 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=0 X=[-0.53898711 -0.57787912 -0.11727796 0.15943582 -0.81353884 -1.19421382 -1.30279603 -0.34353506 -0.38590965 0.527131 0.31347789], Predicted=0 X=[ 2.30534919 -0.77632281 0.79175698 1.6974302 0.33084916 1.45200427 1.07402544 2.26463584 0.60756531 2.63028763 -1.39315246], Predicted=0 X=[ 1.23872307 0.51356116 -0.44783612 4.97059773 0.33084916 -0.01811689 0.88576235 5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=0 X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=0 X=[ 0.76466702 1.00967039 -0.36519658 -0.29407534 -1.13396748 0.15829765 -0.59680945 -1.25973868 -0.71706797 -0.08628968 2.02010823], Predicted=1 X=[ 1.71277913 -1.17321019 0.29591974 0.29746096 -0.9508654 0.15829765 -0.73800677 -0.3234722 -1.71054293 -1.05023647 1.126159 ], Predicted=1 X=[-0.18344508 -0.47865728 -1.35687106 -1.0039189 0.69705332 -1.25301866 -0.90273697 -0.5107255 -0.78329963 0.527131 -0.82427568], Predicted=0 X=[ 1.59426511 3.2917728 0.95703606 -0.19548596 -0.7219878 -1.19421382 -0.47914502 0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=0 X=[-0.4204731 1.60500145 1.12231514 -0.18562702 -1.45439612 0.51112673 -0.0320202 -1.40017865 -0.38590965 -1.48839409 2.02010823], Predicted=1 X=[-0.06493106 0.8112267 -0.11727796 -0.94476527 -0.31000812 -1.48823805 -0.33794771 0.25835054 0.74002864 1.57870931 -0.74300757], Predicted=0 X=[ 0.29061097 -0.67710097 -0.03463842 -1.02363678 -0.31000812 -0.07692173 -0.97333563 -0.97217112 -0.51837298 2.27976152 0.55728222], Predicted=0 X=[ 1.12020906 -0.67710097 0.04800112 1.08617602 -0.31000812 1.15798004 0.03857846 0.62616951 -1.11445795 -1.57602562 -0.17413078], Predicted=0 X=[-1.25007119 -1.27243203 -0.44783612 -1.10250829 -0.40155916 0.45232188 -0.26734905 -0.68460356 0.34263866 0.1766049 -0.9868119 ], Predicted=0 X=[-0.77601514 -0.0817699 -0.11727796 -0.01802507 0.10197156 0.68754127 0.48570329 -0.40372361 0.14394366 0.96528863 0.394746 ], Predicted=0 X=[ 0.05358295 -0.28021359 -0.77839428 -0.90532952 0.33084916 -1.72345743 -0.40854637 -0.34353506 0.27640699 1.84160389 0.71981845], Predicted=0 X=[ 0.17209696 -0.47865728 -0.6131152 0.15943582 -0.21845708 -0.84138474 -1.13806583 0.35532099 0.21017533 0.527131 -0.82427568], Predicted=0 X=[-0.18344508 0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112 -1.30279603 -1.79140428 -0.6508363 -1.13786799 1.85757201], Predicted=1 X=[-0.30195909 1.70422329 0.79175698 0.15943582 0.83437988 -0.25333627 1.12109121 0.45897907 -0.45214131 -0.43681578 -0.90554379], Predicted=0 X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=0 X=[-0.06493106 -0.0817699 -0.36519658 -0.35322897 0.01042052 -1.72345743 -1.1851316 0.18478674 1.0049553 -0.08628968 0.06967355], Predicted=0 X=[ 1.23872307 -1.17321019 2.52718733 2.09178773 0.1935226 1.98124789 1.68588046 2.13088348 -0.25344632 0.1766049 -0.9868119 ], Predicted=0 X=[ 2.54237721 2.69644174 -0.28255704 0.33689671 -0.90508988 -1.25301866 -1.58519066 -0.34353506 -1.64431127 -1.13786799 1.04489089], Predicted=0 X=[-0.4204731 -0.18099175 -0.11727796 0.0509875 0.60550228 -0.07692173 -0.80860543 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0.50923618 1.39524554 -1.37938461 1.40344626 -0.90554379], Predicted=0 X=[-1.72412724e+00 1.70422329e+00 -5.30475661e-01 1.69280668e-03 -5.84661239e-01 -9.00189583e-01 -8.55671197e-01 -1.53393100e+00 2.10175327e-01 -1.92655172e+00 2.34518068e+00], Predicted=0 X=[-0.06493106 -0.77632281 -0.53047566 -1.02363678 -0.53888572 -0.95899443 -1.65578931 -1.27980153 -0.31967798 -1.05023647 0.96362278], Predicted=0 X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=1 X=[-0.4204731 0.8112267 -1.4395106 -1.0039189 0.37662468 -1.4294332 -0.73800677 -0.01584179 0.01148034 -0.87497341 -1.6369568 ], Predicted=0 X=[-0.4204731 1.20811407 -0.1999175 -0.57012562 0.01042052 -0.78257989 0.20330866 -1.26642629 -0.25344632 -1.57602562 1.20742712], Predicted=0 X=[-0.30195909 2.3987762 0.87439652 1.14532965 0.10197156 1.09917519 2.50953147 1.16117892 0.47510198 0.43949948 -0.9868119 ], Predicted=0 X=[ 0.17209696 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X=[-0.89452915 -0.0817699 0.87439652 0.06084644 -0.21845708 1.51080912 2.15653818 0.34194576 -0.45214131 -0.78734189 -1.31188435], Predicted=0 X=[-0.65750113 -0.87554465 -1.0263129 -0.90532952 0.14774708 -0.01811689 0.57983483 -0.54416359 0.8062603 0.08897337 -0.17413078], Predicted=0 X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=0 X=[ 3.01643326 -1.17321019 -0.86103382 -0.94476527 -0.17268156 -1.25301866 -1.6793222 0.05772201 -0.78329963 -1.48839409 -0.82427568], Predicted=0 X=[ 0.527639 -0.67710097 -0.36519658 -0.94476527 -0.53888572 -0.37094597 -0.47914502 -0.7782302 0.74002864 0.08897337 0.394746 ], Predicted=0 X=[-0.77601514 -0.77632281 -0.6131152 -1.04335466 0.05619604 0.39351704 -0.45561214 -0.81835591 1.93219859 0.96528863 0.394746 ], Predicted=0 X=[-0.18344508 1.00967039 -0.6131152 0.62280592 -0.44733468 -0.01811689 -1.11453294 -0.71135403 -1.37938461 -1.05023647 1.53249956], Predicted=0 X=[-0.18344508 0.21589563 0.13064066 -0.98420103 6.14434019 0.04068796 0.50923618 -0.10946844 -0.51837298 0.43949948 -0.90554379], Predicted=0 X=[ 0.40912499 0.21589563 -0.6131152 -0.96448315 -0.21845708 0.62873642 0.93282812 -0.83173115 0.01148034 0.61476253 0.63855033], Predicted=0 X=[ 1.12020906 -0.67710097 1.28759423 -1.02363678 -0.44733468 -0.90018958 -0.92626985 -1.34667771 -0.91576296 -1.8389202 1.28869523], Predicted=0 X=[ 0.05358295 0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605 -0.33794771 0.08447248 -0.05475133 0.08897337 -0.9868119 ], Predicted=0 X=[ 0.88318104 2.3987762 1.28759423 1.50025143 -0.53888572 0.09949281 0.41510463 0.59273142 -0.31967798 -0.96260494 1.04489089], Predicted=0 X=[ 0.88318104 0.31511748 -0.36519658 0.81012575 -0.2642326 -0.84138474 0.15624289 0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=0 X=[ 0.40912499 0.31511748 0.13064066 0.15943582 0.01042052 0.56993158 0.93282812 0.49241715 -0.31967798 0.35186795 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0.61476253 1.45123145], Predicted=0 X=[ 1.23872307 1.40655776 1.28759423 0.35661459 0.46817572 -0.19453143 0.60336772 0.82679804 0.67379698 0.96528863 0.55728222], Predicted=0 X=[-0.4204731 -0.9747665 1.20495468 2.2889665 0.37662468 1.21678489 1.05049255 2.12419587 -1.37938461 1.05292016 -1.6369568 ], Predicted=0 X=[ 0.88318104 1.20811407 -0.53047566 -0.23492171 -0.7219878 -0.19453143 -0.87920408 -0.77154259 0.21017533 1.14055168 1.45123145], Predicted=1 X=[-1.01304317 -0.37943543 0.04800112 -1.06307253 -0.44733468 0.9815655 1.07402544 -1.02232825 1.66727194 -0.43681578 0.7604525 ], Predicted=0 X=[-0.53898711 1.00967039 -0.6131152 0.35661459 -0.12690604 -0.42975081 -0.94980274 -0.56422644 -1.31315295 -1.57602562 0.71981845], Predicted=0 X=[-0.53898711 3.14294004 -1.60478968 -0.23492171 0.55972676 -1.19421382 -0.97333563 0.3586648 1.26988195 -1.13786799 -1.23061624], Predicted=0 X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315 0.05619604 -0.48855566 -0.14968462 -0.24322079 0.47510198 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1.93219859 0.70239405 0.15094166], Predicted=0 X=[-0.89452915 -1.17321019 -0.77839428 -0.98420103 0.01042052 -1.07660412 -1.44399334 -0.28000269 3.12436854 0.70239405 -0.17413078], Predicted=0 X=[ 0.17209696 2.69644174 -2.34854555 0.31717883 -0.44733468 -0.95899443 0.60336772 -0.44719313 0.47510198 -0.26155273 1.36996334], Predicted=0 X=[ 1.12020906 1.40655776 -0.86103382 0.47492185 0.37662468 0.39351704 1.80354489 1.02742657 -1.11445795 0.79002558 -1.06808001], Predicted=0 X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=0 X=[ 0.88318104 -0.0817699 1.53551285 -0.62927925 -0.12690604 -0.42975081 0.32097309 -0.91532637 -1.11445795 0.35186795 0.71981845], Predicted=0 X=[-1.01304317 0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112 -0.57327657 -2.03550233 -0.71706797 -0.52444731 2.18264446], Predicted=1 X=[ 0.29061097 -0.67710097 -0.11727796 -0.82645801 -0.40155916 -0.42975081 0.06211135 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0.62690061 -0.93873303 -0.45214131 -0.26155273 1.36996334], Predicted=0 X=[-1.01304317 0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443 -0.43207925 -1.50718053 0.87249197 -0.69971036 1.7763039 ], Predicted=0 X=[ 0.64615301 -0.77632281 -0.03463842 -0.88561164 -0.4931102 0.2171025 -0.00848731 -1.01229682 -0.12098299 -0.43681578 0.96362278], Predicted=0 X=[-0.53898711 -0.18099175 -1.0263129 0.13971794 -0.2642326 -0.01811689 0.55630195 0.52585524 1.33611362 0.79002558 -0.49920323], Predicted=0 X=[ 0.76466702 -1.37165388 0.04800112 -1.0039189 0.4224002 0.86395581 0.34450598 0.15803627 0.67379698 2.71791915 -0.74300757], Predicted=0 X=[ 0.88318104 -0.9747665 -0.44783612 0.13971794 -0.21845708 -0.37094597 -0.66740811 0.83348566 0.077712 -0.61207884 -1.06808001], Predicted=0 X=[ 0.05358295 -0.28021359 0.13064066 0.55379335 -0.53888572 0.39351704 0.27390732 0.22491245 0.14394366 -1.13786799 0.80108656], Predicted=0 X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 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3.56614587e-01 -5.38885719e-01 8.63955809e-01 1.42701872e+00 -2.92170247e-02 1.33611362e+00 1.34184656e-03 9.63622781e-01], Predicted=0 X=[-0.53898711 0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835 -0.45561214 -0.71135403 0.87249197 0.1766049 -0.09286267], Predicted=0 X=[ 0.76466702 -0.47865728 0.13064066 2.24953075 0.55972676 5.45073383 1.73294624 2.80298906 1.66727194 -0.52444731 -1.31188435], Predicted=0 X=[ 0.17209696 0.71200485 -0.28255704 0.02141068 -0.81353884 -0.48855566 -1.20866448 -0.14290653 1.40234528 -0.61207884 0.71981845], Predicted=0 X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=0 X=[ 0.05358295 0.61278301 0.2132802 -0.98420103 -0.63043676 -1.31182351 0.15624289 -0.63110262 -0.78329963 0.26423642 -0.58047134], Predicted=0 X=[ 0.05358295 0.41433932 -1.4395106 -0.98420103 0.23929812 -1.19421382 -0.99686851 -0.00915417 0.21017533 -0.96260494 -0.82427568], Predicted=0 X=[-6.49310643e-02 -8.17699008e-02 -7.78394281e-01 -3.53228973e-01 2.39074755e+00 4.06879593e-02 -2.67349053e-01 3.09715344e-02 -2.53446321e-01 1.34184656e-03 -7.43007566e-01], Predicted=0 X=[ 0.05358295 0.71200485 1.78343147 1.09603496 -0.35578364 -0.78257989 -0.64387523 0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=0 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[ 0.527639 -0.18099175 -0.03463842 2.25938968 0.14774708 0.36411461 1.33288718 1.99713113 -0.8495313 -0.43681578 -1.14934812], Predicted=0 X=[-1.13155718 0.8112267 -2.43118509 -0.13633233 0.01042052 -0.84138474 -1.20866448 -0.2097827 0.21017533 0.1766049 -0.2553989 ], Predicted=0 X=[ 0.40912499 1.90266698 2.60982687 0.37633246 1.70411476 -0.48855566 1.02695966 0.79335995 -1.24692128 -1.22549952 -1.06808001], Predicted=0 X=[-0.89452915 -0.57787912 -0.44783612 2.00305729 0.60550228 1.09917519 -0.07908597 0.87695517 0.077712 -0.96260494 -0.01159456], Predicted=0 X=[ 0.40912499 0.41433932 -0.03463842 -0.98420103 -0.76776332 -0.37094597 -0.690941 -1.27980153 -0.25344632 0.1766049 1.85757201], Predicted=0 X=[-0.53898711 -0.9747665 -0.11727796 0.63266486 0.28507364 -0.6649702 -1.13806583 0.75992186 1.07118696 0.00134185 -0.90554379], Predicted=0 X=[-0.53898711 0.41433932 -0.1999175 -0.88561164 -0.40155916 -0.07692173 -0.29088194 -1.34667771 -0.8495313 -0.34918426 1.04489089], Predicted=0 X=[ 0.17209696 -1.17321019 -0.69575474 1.55940506 -0.08113052 -0.48855566 0.25037443 1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=0 X=[ 0.527639 0.11667379 0.29591974 0.37633246 -0.08113052 0.56993158 2.08593952 0.86023613 -0.45214131 -0.17392121 -1.23061624], Predicted=0 X=[-0.53898711 -0.77632281 -0.11727796 -0.64899712 -0.21845708 -1.01779928 -0.29088194 -0.87854447 1.60104027 -0.61207884 1.20742712], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=0 X=[-1.13155718 -1.27243203 -0.1999175 -0.11661445 -0.21845708 1.04037035 0.39157175 0.15803627 2.19712525 -0.26155273 -0.01159456], Predicted=0 X=[-2.43521132 0.11667379 -0.86103382 -1.04335466 -0.08113052 0.15829765 0.97989389 -1.60080718 0.60756531 -1.31313104 1.126159 ], Predicted=0 X=[-0.65750113 0.51356116 -0.53047566 -1.02363678 0.01042052 -0.07692173 0.86222946 -0.2097827 1.20365029 0.43949948 -0.90554379], Predicted=0 X=[-0.30195909 0.21589563 3.35358273 -0.35322897 -0.21845708 0.04068796 0.48570329 0.19147436 0.14394366 -0.34918426 -0.49920323], Predicted=0 X=[-0.30195909 -0.9747665 -0.44783612 -0.9250474 -0.21845708 1.04037035 0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=0 X=[-6.49310643e-02 -3.79435433e-01 5.43838363e-01 -9.05329520e-01 5.61960394e-02 -7.69217335e-02 -7.85072540e-01 -1.34667771e+00 -3.85909649e-01 1.34184656e-03 1.85757201e+00], Predicted=0 X=[-1.3685852 -0.57787912 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0.46119882 -1.06307253 -0.63043676 -1.25301866 -1.58519066 -1.64093288 0.8062603 -0.96260494 2.02010823], Predicted=1 X=[ 0.17209696 -1.47087572 -0.28255704 -0.27435747 0.46817572 -0.25333627 -0.38501348 0.15803627 1.86596693 -0.61207884 -0.01159456], Predicted=0 X=[-2.19818329e+00 3.15117476e-01 -2.76174325e+00 1.69280668e-03 1.04205195e-02 4.52321884e-01 6.50433492e-01 -9.15417164e-03 7.40028640e-01 1.22818321e+00 -4.99203231e-01], Predicted=0 X=[ 0.05358295 0.41433932 -0.6131152 -0.80674014 -0.7219878 -1.4294332 -0.83213831 -0.99223397 -0.8495313 -0.61207884 0.47601411], Predicted=0 X=[-0.06493106 -0.47865728 -0.28255704 -0.9250474 -0.12690604 -0.95899443 -1.0204014 -0.65450928 -0.12098299 -0.26155273 0.15094166], Predicted=0 X=[ 0.527639 -0.18099175 -0.03463842 2.25938968 0.14774708 0.36411461 1.33288718 1.99713113 -0.8495313 -0.43681578 -1.14934812], Predicted=0 X=[-0.4204731 -0.47865728 0.95703606 -0.84617589 -0.85931436 0.45232188 -0.80860543 -1.16611203 -1.11445795 0.26423642 0.63855033], Predicted=0 X=[ 0.527639 -0.57787912 0.6264779 1.77630171 0.1935226 1.15798004 1.23875564 1.99713113 0.87249197 0.87765711 -1.31188435], Predicted=0 X=[ 0.76466702 0.51356116 0.37855928 0.45520397 3.67246211 0.80515096 1.42701872 1.03077038 -1.37938461 0.70239405 -0.90554379], Predicted=0 X=[ 2.4238632 0.21589563 0.13064066 -0.35322897 -0.63043676 -0.19453143 0.22684155 0.18478674 -0.25344632 -0.34918426 0.80108656], Predicted=0 X=[ 0.17209696 1.80344514 -1.10895244 2.0326341 0.01042052 0.86395581 1.07402544 1.65606263 -0.71706797 0.61476253 -0.90554379], Predicted=0 X=[-6.49310643e-02 1.16673788e-01 1.28759423e+00 -9.84201026e-01 4.40487043e+00 9.81565502e-01 2.26841548e-01 -1.09468437e-01 -7.17067969e-01 1.34184656e-03 -1.23061624e+00], Predicted=0 X=[-1.3685852 1.50577961 -0.28255704 -0.13633233 -0.31000812 -0.6649702 -0.94980274 -0.67791594 2.32958858 1.05292016 1.45123145], Predicted=0 X=[-0.77601514 0.21589563 -1.35687106 -0.70815075 -0.2642326 -0.6649702 -0.31441482 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-0.38501348 -0.79829306 -0.38590965 1.22818321 1.69503579], Predicted=1 X=[-0.53898711 -0.9747665 3.35358273 1.08617602 0.01042052 1.09917519 0.69749926 1.26149319 2.59451523 1.66634084 -0.33666701], Predicted=0 X=[-1.13155718 -0.87554465 -0.6131152 0.19887157 -0.53888572 -0.13572658 -0.3614806 0.32522671 1.99843026 -0.61207884 -0.33666701], Predicted=0 X=[ 0.17209696 0.21589563 1.45287331 1.42137993 0.1935226 0.27590734 0.69749926 1.19461701 -0.78329963 0.26423642 -0.74300757], Predicted=0 X=[ 0.88318104 -0.9747665 0.2132802 -0.78702226 0.14774708 0.15829765 -0.3614806 0.6596076 2.72697856 -0.26155273 -0.17413078], Predicted=0 X=[-0.89452915 0.51356116 -0.11727796 0.27774308 0.28507364 0.9815655 1.05049255 0.8502047 1.33611362 1.40344626 -0.82427568], Predicted=0 X=[-0.53898711 -0.37943543 1.37023377 1.02702239 0.05619604 1.45200427 1.70941335 0.86023613 -0.05475133 0.70239405 -0.9868119 ], Predicted=0 X=[-1.25007119 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 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Predicted=0 X=[ 1.35723709 0.41433932 0.2132802 -0.35322897 -0.17268156 1.21678489 0.93282812 -0.41041123 0.67379698 -0.17392121 1.20742712], Predicted=0 X=[-0.65750113 0.01745194 0.04800112 0.33689671 -0.35578364 0.51112673 -0.22028328 -0.51741311 0.47510198 -1.75128867 1.28869523], Predicted=0 X=[-0.65750113 -0.47865728 -1.0263129 -0.25463959 -0.4931102 -0.37094597 0.08564423 0.05772201 1.13741862 -1.40076257 -0.33666701], Predicted=0 X=[-0.53898711 0.91044854 -1.19159198 -0.57012562 1.01748196 -1.01779928 -0.87920408 -0.2097827 -1.04822629 -0.96260494 -1.23061624], Predicted=0 X=[-1.01304317 0.01745194 1.53551285 -0.03774295 -0.81353884 0.09949281 -0.80860543 -0.80832448 0.60756531 0.1766049 1.04489089], Predicted=0 X=[-1.96115527e+00 -3.79435433e-01 9.57036064e-01 -5.10971987e-01 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01 2.39582024e+00 1.34184656e-03 5.57282222e-01], Predicted=0 X=[ 0.17209696 -0.57787912 -0.6131152 0.55379335 -0.85931436 0.09949281 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X=[-0.06493106 -0.67710097 -0.53047566 2.31854331 -0.17268156 0.33471219 0.17977578 2.03056922 0.74002864 -1.13786799 -1.47442057], Predicted=0 X=[ 0.64615301 -1.17321019 -0.1999175 0.09042325 0.60550228 -0.25333627 -0.17321751 0.39210289 0.67379698 -1.31313104 -0.66173945], Predicted=0 X=[-1.96115527 0.8112267 -2.59646417 -0.94476527 -0.67621228 -0.6649702 -0.80860543 -1.48043006 1.66727194 -1.22549952 1.36996334], Predicted=0 X=[-2.19818329 -0.0817699 -0.11727796 -0.37294685 -0.63043676 1.33439458 0.93282812 -1.4938053 1.7335036 -1.57602562 1.69503579], Predicted=1 X=[ 0.64615301 -1.17321019 -0.28255704 -0.98420103 0.83437988 -0.07692173 0.65043349 -0.8919197 -0.51837298 -0.61207884 0.74690781], Predicted=0 X=[ 1.23872307 -0.9747665 1.28759423 -0.23492171 0.23929812 0.04068796 0.43863752 0.42554098 -0.05475133 -0.08628968 0.06967355], Predicted=0 X=[ 0.17209696 0.41433932 -0.1999175 0.00169281 -0.67621228 0.15829765 -0.54974368 -0.56088263 1.26988195 0.79002558 1.36996334], Predicted=1 X=[ 0.64615301 0.91044854 -0.6131152 0.63266486 0.1935226 -0.13572658 -0.10261885 0.68635807 -0.38590965 -0.26155273 -0.09286267], Predicted=0 X=[-0.18344508 -0.0817699 -1.77006876 -1.0039189 -0.21845708 1.56961397 -0.00848731 -0.64447785 0.14394366 -0.61207884 -0.41793512], Predicted=0 X=[ 0.527639 -1.07398834 -0.86103382 -0.01802507 0.23929812 -0.01811689 2.39186704 0.75992186 1.13741862 0.43949948 -0.41793512], Predicted=0 X=[-0.4204731 -0.37943543 0.46119882 2.15094136 0.28507364 -0.78257989 -0.29088194 1.62262454 -0.51837298 -0.17392121 -1.06808001], Predicted=0 X=[ 1.59426511 0.91044854 0.2132802 -1.06307253 -0.53888572 -1.07660412 -1.06746717 -1.14604918 -0.98199462 -1.48839409 0.96362278], Predicted=0 X=[-0.06493106 -0.18099175 -0.77839428 0.27774308 0.28507364 1.09917519 1.78001201 0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=0 X=[ 1.4757511 0.61278301 -0.44783612 0.21858945 -0.2642326 2.04005274 2.15653818 0.51916762 -0.31967798 0.527131 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-1.05023647 2.02010823], Predicted=1 X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=0 X=[-0.18344508 0.41433932 -0.11727796 -0.9250474 -0.67621228 -0.25333627 -0.57327657 -1.52724338 -0.45214131 -1.22549952 1.61376767], Predicted=0 X=[-0.77601514 0.31511748 -0.6131152 -0.31379322 -0.40155916 0.04068796 0.22684155 -0.41041123 0.14394366 -0.69971036 -0.09286267], Predicted=0 X=[ 0.40912499 -0.47865728 -0.03463842 1.24391904 0.14774708 0.86395581 1.05049255 1.56243598 1.46857694 -0.78734189 -0.58047134], Predicted=0 X=[-0.4204731 1.10889223 -0.86103382 -0.19548596 0.23929812 -0.60616535 0.25037443 -0.2097827 0.34263866 -1.22549952 -0.41793512], Predicted=0 X=[ 0.17209696 0.8112267 -0.11727796 0.81012575 -0.035355 -0.01811689 -0.07908597 -0.17634461 -0.6508363 -1.40076257 0.88235467], Predicted=0 X=[-0.06493106 -0.0817699 -0.94367336 2.24953075 -0.53888572 -1.13540897 -0.5262108 1.62931216 -0.78329963 0.35186795 -1.06808001], Predicted=0 X=[-0.77601514 -0.57787912 1.28759423 -0.0771787 -0.76776332 -0.25333627 -0.24381617 -0.41041123 1.46857694 -1.13786799 0.63855033], Predicted=0 X=[ 0.64615301 -0.47865728 0.79175698 -0.98420103 -0.08113052 -0.78257989 -0.59680945 -0.07603035 0.21017533 1.14055168 0.06967355], Predicted=0 X=[ 1.00169505 1.10889223 -0.44783612 -0.29407534 -0.4931102 0.04068796 -0.690941 -0.74479212 0.01148034 0.79002558 1.36996334], Predicted=1 X=[ 0.88318104 2.00188883 -0.44783612 0.79040787 0.14774708 1.27558973 1.56821604 1.1544913 0.34263866 -0.34918426 -0.9868119 ], Predicted=0 X=[-0.18344508 0.51356116 1.28759423 -0.94476527 5.54925843 -0.90018958 -1.04393428 -0.87854447 -0.51837298 0.08897337 0.71981845], Predicted=0 X=[-1.3685852 -0.77632281 -0.28255704 -0.76730438 0.01042052 0.15829765 -0.31441482 -0.42378647 1.0049553 0.08897337 -0.49920323], Predicted=0 X=[-0.30195909 -0.47865728 -0.36519658 1.58898188 0.51395124 -0.37094597 0.13271 1.18124177 0.93872363 0.43949948 -0.2553989 ], Predicted=0 X=[-1.84264125 0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535 -1.06746717 -2.20938039 0.8062603 -0.78734189 2.5077169 ], Predicted=1 X=[-1.01304317 -0.77632281 -0.69575474 -0.86589377 -0.21845708 -0.31214112 -1.0204014 -1.08586062 0.54133365 0.61476253 0.47601411], Predicted=0 X=[ 0.527639 -1.17321019 0.13064066 -0.96448315 -0.44733468 -0.37094597 -0.71447388 -0.20309508 0.54133365 0.1766049 -0.2553989 ], Predicted=0 X=[ 1.94980715 -0.28021359 -0.1999175 -0.70815075 -0.63043676 -1.4294332 -1.82051951 -0.71469784 -0.8495313 -0.43681578 0.80108656], Predicted=0 X=[ 0.88318104 -0.9747665 1.28759423 2.29882544 0.01042052 0.04068796 0.46217041 1.86337878 -0.8495313 -0.69971036 -1.06808001], Predicted=0 X=[-0.30195909 0.01745194 0.04800112 -1.10250829 -0.40155916 0.39351704 -0.45561214 -1.74793477 -1.04822629 -1.05023647 1.61376767], Predicted=0 X=[ 0.40912499 0.91044854 0.54383836 1.02702239 -0.63043676 -0.07692173 1.78001201 0.75992186 -0.58460464 0.1766049 -0.58047134], Predicted=0 X=[-0.53898711 4.08554756 -2.01798739 0.23830733 -0.08113052 -0.07692173 0.13271 0.25835054 0.47510198 -0.96260494 -0.33666701], Predicted=0 X=[-1.48709922e+00 2.15895632e-01 -1.93534784e+00 1.69280668e-03 -1.26906040e-01 -7.69217335e-02 8.56442334e-02 -6.93427307e-02 -3.19677985e-01 -8.62896794e-02 -5.80471343e-01], Predicted=0 X=[-0.30195909 2.99410727 -0.28255704 -0.25463959 0.51395124 -0.31214112 -0.3614806 0.29178862 0.34263866 -0.96260494 -1.23061624], Predicted=0 X=[-1.01304317 1.30733592 -0.86103382 -1.04335466 0.92593092 -0.78257989 0.22684155 -0.45722456 0.74002864 -0.17392121 -0.7159182 ], Predicted=0 X=[-0.53898711 0.11667379 -0.11727796 -0.78702226 -1.45439612 -0.07692173 -1.16159871 -1.31992724 0.34263866 1.49107779 1.61376767], Predicted=1 X=[-0.65750113 0.01745194 -0.94367336 1.00730452 -0.44733468 -0.48855566 0.27390732 0.14131723 -1.24692128 -1.40076257 0.06967355], Predicted=0 X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081 -1.09100005 -0.59432072 1.33611362 1.75397237 0.31347789], Predicted=0 X=[ 0.29061097 1.50577961 2.27926871 1.06645815 -0.035355 1.09917519 0.39157175 1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=0 X=[-0.30195909 -0.28021359 0.13064066 -0.68843288 -0.53888572 0.15829765 -0.40854637 -1.31992724 0.01148034 -0.78734189 1.85757201], Predicted=1 X=[ 0.29061097 0.21589563 0.2132802 0.08056431 0.4224002 0.54052915 2.25066972 1.06086466 1.99843026 1.31581474 -0.2553989 ], Predicted=0 X=[-0.18344508 -1.17321019 0.29591974 -1.0039189 -0.44733468 0.56993158 -0.31441482 -1.46705482 0.01148034 0.1766049 1.53249956], Predicted=1 X=[-1.13155718 1.55539053 -1.4395106 0.00169281 -0.67621228 -0.84138474 -0.10261885 -0.84176257 0.34263866 -0.26155273 1.36996334], Predicted=0 X=[-0.4204731 -0.67710097 0.13064066 -0.13633233 -0.12690604 0.68754127 1.37995295 -0.03590464 0.34263866 0.08897337 -0.33666701], Predicted=0 X=[-0.06493106 -0.67710097 0.70911744 -1.02363678 -0.035355 -0.6649702 -0.29088194 -0.56422644 -0.6508363 3.33133983 0.31347789], Predicted=0 X=[ 0.05358295 0.61278301 3.35358273 0.94815089 1.06325748 0.51112673 0.27390732 0.9271123 -1.24692128 2.80555068 -1.06808001], Predicted=0 X=[-0.53898711 -1.07398834 -0.53047566 0.06084644 -0.44733468 3.09853997 1.99180798 0.25835054 0.60756531 -1.22549952 -0.2553989 ], Predicted=0 X=[-0.65750113 -0.28021359 1.61815239 -0.90532952 -1.13396748 0.33471219 -0.87920408 -1.57572861 0.01148034 -1.57602562 2.02010823], Predicted=1 X=[-0.06493106 -0.18099175 -0.77839428 -0.88561164 -0.12690604 2.04005274 0.36803886 -0.43381789 -0.05475133 0.26423642 -0.01159456], Predicted=0 X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=0 X=[-0.30195909 0.8112267 1.53551285 0.96786876 0.01042052 -1.60584774 -0.66740811 0.86023613 -0.78329963 -0.26155273 -0.90554379], Predicted=0 X=[ 0.40912499 0.61278301 -0.86103382 0.49463972 2.71117619 -0.78257989 0.39157175 0.96723801 -1.18068962 0.79002558 -0.82427568], Predicted=0 X=[ 1.71277913 -0.37943543 -0.53047566 -0.84617589 -0.7219878 -0.78257989 0.55630195 -0.87854447 -1.31315295 1.66634084 1.126159 ], Predicted=0 X=[ 1.35723709 -0.77632281 -0.28255704 0.33689671 -0.40155916 0.39351704 -0.1967504 -0.07937416 -0.58460464 1.57870931 1.04489089], Predicted=1 X=[-0.30195909 0.41433932 1.12231514 1.81573746 0.78860436 -0.48855566 0.81516369 1.5691236 -0.05475133 0.61476253 -1.23061624], Predicted=0 X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=0 X=[-0.89452915 0.8112267 0.6264779 2.55515783 1.109033 1.8636382 1.61528181 2.39170057 1.33611362 0.35186795 -1.14934812], Predicted=0 X=[ 2.06832116 -0.9747665 0.2132802 -0.90532952 -0.2642326 -0.6649702 1.14462409 0.52585524 0.40887032 0.527131 -0.82427568], Predicted=0 X=[ 2.77940524 0.01745194 1.0396756 -0.62927925 0.55972676 0.2171025 -0.12615174 0.6596076 -0.31967798 0.79002558 -0.82427568], Predicted=0 X=[ 0.05358295 0.01745194 0.29591974 0.53407548 -0.40155916 -1.13540897 -1.46752623 0.25835054 -0.91576296 0.43949948 0.47601411], Predicted=0 X=[-0.30195909 0.41433932 -0.6131152 -0.35322897 -0.67621228 -0.5473605 -0.43207925 -0.68460356 1.40234528 2.10449847 1.61376767], Predicted=1 X=[ 0.88318104 -0.37943543 0.87439652 -0.51097199 -0.40155916 0.80515096 0.17977578 -0.97885873 -0.8495313 -1.05023647 0.88235467], Predicted=0 X=[ 1.71277913 -1.37165388 0.2132802 0.47492185 -0.90508988 -1.31182351 -1.8440524 0.52585524 -0.38590965 -1.22549952 0.43538005], Predicted=0 X=[ 0.29061097 1.70422329 -0.77839428 -0.72786863 -0.2642326 -0.6649702 -1.20866448 -1.80812333 -1.64431127 -0.96260494 2.34518068], Predicted=0 X=[ 1.59426511 3.2917728 0.95703606 -0.19548596 -0.7219878 -1.19421382 -0.47914502 0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=0 X=[ 1.94980715 -1.17321019 0.13064066 -0.94476527 -0.31000812 -0.6649702 0.20330866 -0.17634461 -1.51184794 -1.13786799 -0.41793512], Predicted=0 X=[ 1.59426511 1.20811407 1.20495468 1.4410978 -0.17268156 1.39319943 0.72103215 1.52899789 -0.58460464 0.26423642 -0.90554379], Predicted=0 X=[-0.53898711 -1.27243203 0.54383836 -0.96448315 -0.17268156 -0.72377504 -1.20866448 -1.44030435 -0.51837298 -0.26155273 1.36996334], Predicted=0 X=[ 0.05358295 1.60500145 0.70911744 0.41576822 0.10197156 -1.48823805 0.20330866 1.12774083 0.87249197 -0.26155273 -0.82427568], Predicted=0 X=[-1.25007119 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 -1.04393428 -1.01229682 1.53480861 -0.61207884 1.04489089], Predicted=0 X=[ 0.64615301 -0.77632281 0.29591974 -1.02363678 -0.81353884 -0.42975081 -1.16159871 -0.90529494 -0.31967798 1.05292016 1.04489089], Predicted=0 X=[ 0.17209696 0.31511748 0.46119882 0.21858945 0.4224002 0.39351704 1.87414355 0.83348566 1.20365029 0.43949948 -0.17413078], Predicted=0 X=[-0.4204731 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0.88318104 -0.77632281 -0.1999175 -0.98420103 0.05619604 0.33471219 0.08564423 -0.2097827 1.60104027 0.35186795 -0.33666701], Predicted=0 X=[ 0.64615301 -0.87554465 1.28759423 0.57351123 -0.7219878 -0.5473605 -0.14968462 -0.00915417 -1.31315295 -1.48839409 0.394746 ], Predicted=0 X=[-0.4204731 1.80344514 0.6264779 2.05235198 1.74989028 1.39319943 1.96827509 1.76306451 -0.05475133 0.79002558 -1.23061624], Predicted=0 X=[-0.53898711 -1.27243203 0.87439652 -1.02363678 -0.12690604 1.8636382 0.27390732 -1.11261109 -0.31967798 2.10449847 0.55728222], Predicted=0 X=[ 0.527639 0.51356116 -0.94367336 -0.98420103 -0.21845708 0.27590734 0.90929523 -0.38700457 -0.31967798 -0.08628968 -0.49920323], Predicted=0 X=[-0.18344508 1.60500145 -0.94367336 -0.4123826 -0.63043676 -0.95899443 -0.92626985 -1.29652057 0.47510198 0.35186795 1.85757201], Predicted=1 X=[-2.19818329 0.71200485 -0.69575474 0.27774308 -0.67621228 -0.6649702 -0.5262108 -0.54081978 1.33611362 -0.78734189 0.63855033], Predicted=0 X=[ 0.17209696 0.8112267 -0.11727796 0.7213953 -0.035355 0.09949281 -0.17321751 -0.169657 -0.6508363 -1.40076257 0.96362278], Predicted=0 X=[ 1.12020906 -0.28021359 0.6264779 -0.53068986 -0.17268156 0.09949281 0.25037443 0.45897907 1.13741862 -0.34918426 -0.41793512], Predicted=0 X=[-0.4204731 0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173 -1.13806583 -0.72807307 1.20365029 1.66634084 0.394746 ], Predicted=0 X=[-0.4204731 -1.47087572 -0.53047566 -0.74758651 -0.4931102 -0.19453143 -1.46752623 -0.87854447 0.14394366 2.36739305 0.6656397 ], Predicted=1 X=[-1.25007119 0.51356116 -0.86103382 -0.27435747 0.33084916 -0.37094597 -0.76153965 0.18478674 -0.38590965 0.26423642 -1.23061624], Predicted=0 X=[ 1.83129314 -1.07398834 -0.1999175 -0.19548596 0.28507364 0.68754127 0.27390732 0.42554098 0.34263866 -0.96260494 -0.58047134], Predicted=0 X=[-1.72412724 0.51356116 -0.1999175 -0.47153623 -0.7219878 -0.48855566 -0.71447388 -1.24301963 0.74002864 -0.52444731 1.36996334], Predicted=0 X=[ 4.09124986e-01 -4.78657278e-01 1.03967560e+00 1.69280668e-03 -4.47334679e-01 -1.07660412e+00 -1.25573025e+00 -4.13755041e-01 -5.84604641e-01 2.54265610e+00 9.63622781e-01], Predicted=0 X=[-0.06493106 -0.47865728 -0.1999175 -0.70815075 0.05619604 0.27590734 -0.38501348 -0.92535779 -0.8495313 1.31581474 0.31347789], Predicted=0 X=[-0.53898711 -1.27243203 0.87439652 -1.02363678 -0.12690604 1.8636382 0.27390732 -1.11261109 -0.31967798 2.10449847 0.55728222], Predicted=0 X=[-1.96115527 0.01745194 -0.36519658 -1.04335466 -0.81353884 -1.01779928 -1.63225643 -0.78491782 0.34263866 0.43949948 -0.41793512], Predicted=0 X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=0 X=[-0.77601514 -0.0817699 -0.11727796 0.47492185 0.05619604 1.7460285 2.01534087 0.69304568 -0.12098299 -0.17392121 -1.31188435], Predicted=0 X=[ 0.64615301 0.21589563 -0.28255704 -0.23492171 0.33084916 0.56993158 0.57983483 0.02428392 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0.27640699 0.35186795 -0.09286267], Predicted=0 X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=0 X=[-1.25007119 0.51356116 -0.86103382 -0.27435747 0.33084916 -0.37094597 -0.76153965 0.18478674 -0.38590965 0.26423642 -1.23061624], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 0.10028219 -0.035355 0.92276066 -0.31441482 -0.24322079 -0.58460464 -0.43681578 0.15094166], Predicted=0 X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 1.73294624e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[ 1.23872307 -0.77632281 1.28759423 -0.94476527 0.33084916 -1.19421382 0.13271 -0.34353506 -0.18721466 -0.17392121 -0.01159456], Predicted=0 X=[-1.13155718 0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=0 X=[-0.30195909 -0.18099175 -1.0263129 -0.68843288 -0.90508988 0.74634612 -0.29088194 -1.04907872 0.21017533 -0.96260494 0.63855033], Predicted=0 X=[-0.4204731 -0.9747665 -0.6131152 -0.98420103 -0.21845708 0.27590734 0.06211135 0.02428392 1.0049553 2.01686694 -0.82427568], Predicted=0 X=[-0.65750113 -0.47865728 -0.28255704 -0.90532952 -0.58466124 -1.13540897 -1.11453294 -1.14604918 0.60756531 -0.78734189 1.04489089], Predicted=0 X=[ 0.64615301 -0.28021359 -0.44783612 0.16929476 -0.81353884 -1.25301866 -1.42046046 -0.5508512 -1.64431127 -1.05023647 0.80108656], Predicted=0 X=[ 1.35723709 1.70422329 -0.44783612 0.86927938 0.23929812 -0.60616535 0.43863752 0.55929333 -0.8495313 -0.17392121 0.71981845], Predicted=0 X=[ 1.35723709 3.78788202 3.18830365 2.20023605 -0.17268156 1.56961397 2.22713684 1.96369304 -1.77677459 1.66634084 -0.90554379], Predicted=0 X=[-0.30195909 -0.57787912 0.29591974 1.77630171 -0.4931102 1.56961397 0.34450598 1.47884076 -1.11445795 -0.78734189 -0.9868119 ], Predicted=0 X=[-0.77601514 0.51356116 -0.36519658 -1.0039189 -0.17268156 -0.5473605 -0.00848731 0.52585524 3.85291685 1.31581474 -0.82427568], Predicted=0 X=[ 0.40912499 -1.17321019 1.28759423 -1.0039189 -0.40155916 -0.48855566 -0.80860543 -0.54416359 0.27640699 0.70239405 0.06967355], Predicted=0 X=[ 1.83129314 -0.57787912 -0.28255704 0.49463972 -0.99664092 -1.07660412 -0.47914502 0.17809912 -1.31315295 -1.31313104 -0.01159456], Predicted=0 X=[-1.3685852 -0.13138082 -0.44783612 0.10028219 -0.44733468 0.62873642 0.27390732 -0.34687886 1.13741862 -0.43681578 0.23220977], Predicted=0 X=[ 1.35723709 -0.28021359 0.13064066 -1.04335466 0.37662468 -1.31182351 -0.05555308 -0.12284367 -0.71706797 0.527131 -0.82427568], Predicted=0 X=[-1.13155718 0.21589563 1.12231514 0.28760202 -0.7219878 -0.95899443 -0.12615174 -0.24322079 2.19712525 -0.52444731 0.80108656], Predicted=0 X=[-0.65750113 -0.18099175 -1.0263129 -0.47153623 -0.7219878 -0.6649702 -0.31441482 -0.84510638 -0.8495313 -1.31313104 0.15094166], Predicted=0 X=[-0.18344508 2.00188883 1.28759423 -0.68843288 -0.7219878 -0.42975081 -0.38501348 -1.59411956 -0.38590965 -0.78734189 2.02010823], Predicted=0 X=[-0.4204731 -0.37943543 -0.77839428 -0.94476527 0.01042052 -1.19421382 -1.8440524 -0.41041123 0.01148034 -0.87497341 -0.58047134], Predicted=0 X=[ 0.40912499 -0.37943543 -0.53047566 -0.98420103 -0.35578364 -0.25333627 -0.38501348 -0.44384932 -0.25344632 -0.26155273 -0.17413078], Predicted=0 X=[ 1.4757511 0.61278301 -0.44783612 0.21858945 -0.2642326 2.04005274 2.15653818 0.51916762 -0.31967798 0.527131 -0.58047134], Predicted=0 X=[ 1.23872307 0.51356116 -0.44783612 4.97059773 0.33084916 -0.01811689 0.88576235 5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=0 X=[-1.13155718 -0.9747665 -0.44783612 -1.06307253 -0.40155916 -0.6649702 -1.1851316 -1.03235968 0.67379698 0.527131 0.11030761], Predicted=0 X=[-0.4204731 1.30733592 2.52718733 1.06645815 0.8801554 1.7460285 2.03887375 1.26149319 -0.45214131 0.1766049 -1.31188435], Predicted=0 X=[ 0.05358295 1.10889223 -0.94367336 -0.4123826 -0.7219878 -1.48823805 -0.8556712 -0.34353506 -1.24692128 3.33133983 0.88235467], Predicted=0 X=[-0.06493106 0.21589563 -0.94367336 -0.03774295 0.6512778 0.33471219 1.21522275 1.52231028 -0.05475133 0.1766049 -1.06808001], Predicted=0 X=[ 0.05358295 0.01745194 0.29591974 0.53407548 -0.40155916 -1.13540897 -1.46752623 0.25835054 -0.91576296 0.43949948 0.47601411], Predicted=0 X=[ 0.05358295 -1.57009756 0.2132802 -0.82645801 -0.40155916 -1.01779928 -0.64387523 -0.71135403 1.46857694 2.8931822 1.126159 ], Predicted=1 X=[-0.06493106 -0.57787912 0.29591974 1.73686595 0.23929812 1.92244304 0.93282812 1.77978356 1.40234528 3.15607678 -0.9868119 ], Predicted=0 X=[-0.06493106 -0.28021359 -0.36519658 -0.86589377 -0.17268156 -0.95899443 1.19168986 0.39210289 1.79973526 0.43949948 -0.2553989 ], Predicted=0 X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=0 X=[-0.89452915 -0.77632281 0.54383836 -0.88561164 -0.81353884 -0.19453143 -0.00848731 -0.87854447 0.47510198 2.01686694 0.96362278], Predicted=0 X=[ 0.88318104 2.79566358 -1.77006876 0.79040787 2.29919651 -0.78257989 0.90929523 1.42868363 0.87249197 -0.34918426 -1.14934812], Predicted=0 X=[-0.18344508 0.01745194 0.04800112 0.49463972 0.10197156 -0.19453143 -0.64387523 0.17475531 0.40887032 0.43949948 0.394746 ], Predicted=0 X=[ 0.527639 -0.87554465 1.28759423 1.80587852 0.55972676 0.86395581 -0.10261885 1.93025495 1.53480861 -1.13786799 -1.14934812], Predicted=0 X=[-0.4204731 0.11667379 -0.28255704 0.54393441 0.23929812 -0.60616535 0.65043349 -0.21312651 0.34263866 0.61476253 0.67918439], Predicted=0 X=[-1.25007119 0.8112267 -0.6131152 -0.60956137 -0.35578364 0.27590734 0.34450598 -0.97885873 1.0049553 0.527131 0.63855033], Predicted=0 X=[ 1.35723709 -0.0817699 1.94871055 0.79040787 0.33084916 -1.01779928 -0.10261885 1.10099036 -0.45214131 1.66634084 -1.23061624], Predicted=0 X=[ 1.23872307 -0.0817699 -0.53047566 -0.9250474 -0.53888572 -0.60616535 -0.38501348 -1.05242253 -1.44561627 0.1766049 1.126159 ], Predicted=0 X=[ 0.76466702 0.01745194 0.6264779 -1.0039189 -0.08113052 -1.4294332 -0.29088194 -0.36694172 0.60756531 -0.34918426 -0.17413078], Predicted=0 X=[-1.25007119 -1.37165388 -1.52215014 -0.05746082 -0.17268156 -0.48855566 -0.3614806 -0.13621891 -0.8495313 0.96528863 -0.49920323], Predicted=0 X=[-1.83445077e-01 -1.37165388e+00 1.03967560e+00 -9.44765273e-01 -4.47334679e-01 -1.19421382e+00 -1.09100005e+00 -4.63912174e-01 1.20365029e+00 1.34184656e-03 3.13477887e-01], Predicted=0 X=[ 0.64615301 -0.57787912 -0.6131152 -1.02363678 -0.4931102 -1.01779928 -0.97333563 -0.52744454 -0.45214131 -0.69971036 -0.66173945], Predicted=0 X=[-1.13155718 -0.77632281 -0.44783612 1.26363691 -0.35578364 -0.37094597 -0.14968462 0.07778486 0.8062603 0.70239405 1.04489089], Predicted=1 X=[ 0.17209696 -0.37943543 -0.77839428 0.5143576 -0.7219878 0.39351704 1.89767644 0.77998471 1.86596693 -0.26155273 -0.2553989 ], Predicted=0 X=[-0.65750113 -0.0817699 0.29591974 0.29746096 0.05619604 1.33439458 1.80354489 0.46566668 0.01148034 -0.08628968 -0.82427568], Predicted=0 X=[-0.53898711 -1.37165388 -0.1999175 -1.02363678 -0.53888572 1.04037035 -0.00848731 -1.06579776 1.26988195 -1.22549952 0.80108656], Predicted=0 X=[ 0.05358295 -0.77632281 1.37023377 0.71153637 -0.44733468 2.51049151 0.67396638 0.79335995 -0.25344632 0.527131 -0.2553989 ], Predicted=0 X=[-0.30195909 -0.0817699 1.28759423 0.27774308 0.14774708 1.56961397 1.85061067 0.62616951 -0.12098299 -0.34918426 -0.90554379], Predicted=0 X=[ 3.01643326 1.40655776 -0.11727796 0.02141068 -0.85931436 -0.90018958 0.67396638 0.25500673 -0.71706797 -0.52444731 0.06967355], Predicted=0 X=[-1.13155718 -0.67710097 -0.86103382 0.29746096 -0.58466124 -0.78257989 -0.1967504 0.12459818 1.26988195 0.87765711 0.31347789], Predicted=0 X=[ 1.94980715 -0.87554465 1.28759423 -0.57012562 -0.08113052 -0.37094597 -0.50267791 -0.07603035 -0.31967798 0.1766049 -0.33666701], Predicted=0 X=[-1.13155718 0.61278301 -0.94367336 -0.78702226 -0.7219878 -0.95899443 -0.07908597 -1.54730624 1.46857694 2.5426561 2.75152124], Predicted=1 X=[-1.13155718 -1.37165388 -0.69575474 -0.37294685 -0.85931436 -0.07692173 0.03857846 -0.2097827 1.99843026 0.1766049 0.23220977], Predicted=0 X=[-1.01304317 0.41433932 -0.11727796 -0.31379322 -0.21845708 0.27590734 1.12109121 -0.56088263 0.21017533 0.43949948 0.394746 ], Predicted=0 X=[-0.06493106 0.21589563 -0.77839428 0.04112856 3.53513555 -0.01811689 -0.5262108 0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=0 X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866 -1.32632891 -0.90529494 -0.58460464 0.79002558 0.55728222], Predicted=0 X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=0 X=[-0.4204731 -0.28021359 0.13064066 1.1058939 0.4224002 0.68754127 0.95636101 1.32836936 2.59451523 -0.17392121 -0.41793512], Predicted=0 X=[-0.30195909 3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443 -1.42046046 -1.22630059 -0.51837298 1.14055168 1.93884012], Predicted=0 X=[ 1.35723709 3.09332911 3.10566411 2.1608003 -0.35578364 1.51080912 2.10947241 1.99713113 -1.5780796 2.27976152 -0.9868119 ], Predicted=0 X=[-0.89452915 -0.28021359 -0.44783612 0.71153637 0.4224002 1.21678489 -0.17321751 -0.00915417 0.21017533 -1.22549952 0.31347789], Predicted=0 X=[ 1.83129314 -0.47865728 1.28759423 0.27774308 -0.4931102 -0.78257989 -1.0204014 -0.17634461 -0.98199462 -1.31313104 1.20742712], Predicted=0 X=[-3.01959090e-01 -1.80991745e-01 1.86607101e+00 1.77630171e+00 3.30849159e-01 -1.94531426e-01 6.21113476e-02 1.36180745e+00 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[ 0.76466702 -1.07398834 -0.11727796 -0.9250474 -0.2642326 0.92276066 0.22684155 -0.81166829 0.14394366 -0.43681578 0.80108656], Predicted=0 X=[ 0.17209696 0.41433932 -0.36519658 0.23830733 -0.9508654 -0.01811689 -0.33794771 -0.80498067 -0.25344632 1.40344626 1.85757201], Predicted=1 X=[-1.01304317 0.8112267 -2.26590601 -0.98420103 0.92593092 -0.48855566 -0.24381617 -0.2097827 0.47510198 0.527131 -0.9868119 ], Predicted=0 X=[ 0.527639 -1.47087572 -0.11727796 1.57912294 0.23929812 -0.07692173 -0.690941 1.12774083 0.077712 -1.22549952 -1.06808001], Predicted=0 X=[ 0.05358295 -0.77632281 -0.44783612 -1.02363678 0.10197156 0.04068796 0.48570329 -0.14290653 0.01148034 -0.52444731 -1.14934812], Predicted=0 X=[ 1.23872307 2.29955436 0.04800112 -0.74758651 0.14774708 -1.31182351 -0.07908597 -0.22650175 -0.6508363 0.1766049 -0.41793512], Predicted=0 X=[-1.01304317e+00 4.14339320e-01 -2.82557040e-01 1.79153697e-01 5.86968707e+00 6.28736423e-01 4.85703291e-01 3.88759080e-01 -5.47513286e-02 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[ 0.40912499 -1.37165388 0.13064066 -1.02363678 -0.44733468 -1.19421382 -1.53812488 -0.07603035 1.79973526 -0.87497341 -0.49920323], Predicted=0 X=[-0.65750113 1.30733592 -1.4395106 -1.08279041 -0.63043676 -0.60616535 -0.94980274 -0.43047409 -0.18721466 -0.61207884 -0.82427568], Predicted=0 X=[-0.18344508 -1.07398834 0.70911744 0.79040787 -0.35578364 2.92212543 1.02695966 0.75323424 -0.98199462 -0.43681578 -1.31188435], Predicted=0 X=[ 0.64615301 1.30733592 2.69246641 0.86927938 0.23929812 2.45168666 1.30935429 1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=0 X=[-0.30195909 -0.57787912 0.29591974 -1.02363678 0.60550228 0.56993158 1.42701872 -0.34353506 1.20365029 0.527131 -0.17413078], Predicted=0 X=[-0.30195909 -0.18099175 -0.53047566 -0.96448315 -0.2642326 -0.95899443 -0.57327657 -0.3602541 1.13741862 1.14055168 -0.01159456], Predicted=0 X=[ 0.17209696 -0.57787912 -0.44783612 0.82984363 -0.31000812 -0.19453143 -0.50267791 -0.15962557 -0.91576296 0.527131 0.80108656], Predicted=1 X=[-1.48709922 -0.28021359 -1.19159198 -0.78702226 0.14774708 0.39351704 0.65043349 -0.67791594 0.40887032 -0.52444731 -0.09286267], Predicted=0 X=[-0.18344508 -0.77632281 0.70911744 1.50025143 -0.35578364 2.80451574 0.50923618 1.56243598 -0.18721466 0.08897337 -0.90554379], Predicted=0 X=[-1.60561323 -1.17321019 -0.1999175 -1.02363678 -0.90508988 -0.25333627 -1.65578931 -1.41355388 0.93872363 -0.43681578 0.90944404], Predicted=1 X=[ 4.09124986e-01 1.74519434e-02 1.70079193e+00 2.03263410e+00 -3.53550004e-02 1.09917519e+00 1.45055161e+00 1.66275025e+00 -7.17067969e-01 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-0.65750113 0.91044854 -0.44783612 -0.01802507 -0.53888572 0.56993158 0.32097309 -0.64447785 0.67379698 -0.26155273 0.88235467], Predicted=0 X=[ 2.30534919 -1.07398834 0.37855928 -0.90532952 -0.2642326 0.2171025 0.22684155 0.05772201 -0.18721466 1.57870931 -0.2553989 ], Predicted=0 X=[-0.4204731 0.51356116 0.37855928 0.37633246 0.10197156 1.92244304 0.83869658 0.29847624 -0.31967798 0.08897337 -0.74300757], Predicted=0 X=[ 0.29061097 -1.8677631 -0.28255704 -0.03774295 -0.63043676 -0.6649702 -0.10261885 -0.34353506 -1.31315295 -0.87497341 0.31347789], Predicted=0 X=[-0.30195909 -0.37943543 0.37855928 1.25377797 -0.53888572 -1.60584774 -1.514592 -0.0559675 -0.58460464 0.70239405 1.93884012], Predicted=1 X=[ 1.59426511 -0.18099175 1.28759423 -0.23492171 -0.2642326 -0.95899443 -0.90273697 0.02428392 -0.45214131 -1.31313104 -0.33666701], Predicted=0 X=[-0.18344508 -1.17321019 -0.44783612 -0.76730438 0.01042052 0.27590734 0.34450598 -0.64447785 1.26988195 0.1766049 0.71981845], Predicted=0 X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.2642326 -0.07692173 0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=0 X=[-0.53898711 -1.47087572 1.12231514 -0.94476527 2.11609443 0.27590734 0.46217041 -0.41041123 0.14394366 -1.13786799 -0.58047134], Predicted=0 X=[-0.06493106 -0.37943543 1.28759423 2.5452989 0.51395124 1.15798004 2.55659724 2.18104062 -1.24692128 0.61476253 -1.47442057], Predicted=0 X=[-0.30195909 1.00967039 -0.36519658 -0.78702226 4.13021731 -1.19421382 -1.06746717 -0.22315794 -0.05475133 0.96528863 -0.82427568], Predicted=0 X=[ 0.29061097 0.01745194 -1.19159198 0.27774308 -0.2642326 0.74634612 1.07402544 0.58938761 -0.18721466 0.08897337 -0.90554379], Predicted=0 X=[ 2.89791925 0.61278301 1.28759423 0.1791537 0.28507364 -0.31214112 0.17977578 1.32836936 -0.12098299 1.05292016 -0.2553989 ], Predicted=0 X=[ 0.40912499 -0.77632281 2.27926871 1.93404472 -0.12690604 -1.25301866 -0.83213831 1.56243598 -0.8495313 -1.13786799 -1.06808001], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 -0.27435747 0.97170644 -0.19453143 0.27390732 0.32522671 1.13741862 -0.08628968 -0.58047134], Predicted=0 X=[-0.77601514 -0.0817699 -0.11727796 -0.01802507 0.10197156 0.68754127 0.48570329 -0.40372361 0.14394366 0.96528863 0.394746 ], Predicted=0 X=[-0.06493106 0.41433932 -0.03463842 -1.12222616 -0.85931436 -1.19421382 -1.70285508 -1.3801158 -0.51837298 -1.57602562 1.04489089], Predicted=0 X=[ 1.4757511 0.01745194 1.28759423 -1.06307253 -0.2642326 -0.19453143 0.22684155 -0.14290653 -0.38590965 -0.69971036 -0.41793512], Predicted=0 X=[ 0.05358295 3.34138372 0.70911744 1.1058939 0.97170644 -0.6649702 -0.17321751 1.08427132 0.01148034 -1.31313104 -0.9868119 ], Predicted=0 X=[-0.65750113 1.30733592 -0.94367336 0.1791537 -0.4931102 -0.72377504 -0.50267791 -0.77154259 0.077712 -0.87497341 1.15866625], Predicted=0 X=[-0.18344508 -1.66931941 0.04800112 0.47492185 -0.12690604 0.33471219 -0.59680945 0.72648377 1.53480861 -0.78734189 -0.9868119 ], Predicted=0 X=[-1.01304317 -0.77632281 -0.77839428 -0.90532952 -0.7219878 -0.31214112 -0.78507254 -1.04573491 0.8062603 -0.17392121 0.80108656], Predicted=0 X=[-0.65750113 0.11667379 -1.60478968 0.129859 -0.035355 0.86395581 0.90929523 0.53923048 0.27640699 -0.61207884 -1.23061624], Predicted=0 X=[-0.4204731 0.41433932 -0.28255704 -0.80674014 0.23929812 -0.90018958 -0.26734905 -1.46705482 -0.38590965 0.26423642 1.85757201], Predicted=0 X=[-1.72412724 3.09332911 -2.18326647 0.12000007 -0.035355 0.04068796 0.20330866 0.12459818 1.0049553 0.70239405 -0.66173945], Predicted=0 X=[-0.89452915 0.41433932 -0.69575474 -0.9250474 -0.53888572 0.09949281 -0.05555308 -0.67791594 1.86596693 0.08897337 0.23220977], Predicted=0 X=[ 0.88318104 0.31511748 -0.86103382 1.24391904 0.37662468 -0.90018958 0.01504558 1.44874648 -0.18721466 0.08897337 -0.66173945], Predicted=0 X=[-1.01304317 -0.87554465 -0.6131152 1.18476541 0.10197156 0.86395581 0.20330866 1.06086466 0.74002864 -1.13786799 -1.31188435], Predicted=0 X=[ 1.00169505 -0.47865728 -0.1999175 0.8495615 -0.35578364 1.39319943 1.12109121 0.96055039 -0.45214131 0.527131 -0.82427568], Predicted=0 X=[-0.4204731 0.11667379 -0.69575474 0.82984363 -0.31000812 -0.19453143 -0.43207925 0.72648377 0.8062603 -1.31313104 -0.33666701], Predicted=0 X=[-0.18344508 -0.57787912 0.46119882 -1.02363678 0.14774708 -0.5473605 0.32097309 -0.18971985 2.06466192 -0.17392121 -0.41793512], Predicted=0 X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=0 X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226 0.10197156 0.33471219 1.45055161 -0.07603035 2.06466192 0.08897337 -0.66173945], Predicted=0 X=[ 0.17209696 0.8112267 -1.60478968 1.02702239 -0.12690604 -0.01811689 2.10947241 1.2280551 -0.38590965 0.1766049 -1.31188435], Predicted=0 X=[ 1.71277913 -0.87554465 1.28759423 -1.02363678 0.23929812 -1.4294332 -0.0320202 -0.74479212 -0.8495313 -0.26155273 0.394746 ], Predicted=0 X=[ 0.527639 -0.67710097 -0.03463842 -1.06307253 -0.40155916 1.80483335 0.13271 -0.57760167 -0.51837298 0.26423642 -0.2553989 ], Predicted=0 X=[-0.06493106 0.71200485 0.87439652 0.02141068 0.46817572 -0.25333627 0.53276906 0.39210289 -0.31967798 -0.43681578 -0.82427568], Predicted=0 X=[ 0.05358295 1.50577961 -0.44783612 0.59322911 0.46817572 -0.37094597 1.05049255 0.63954474 -0.12098299 -0.52444731 -0.90554379], Predicted=0 X=[ 0.64615301 0.21589563 -0.94367336 -0.22506277 0.33084916 -0.13572658 0.97989389 -0.47728741 -0.38590965 -0.34918426 0.88235467], Predicted=0 X=[ 0.29061097 0.8112267 -0.44783612 -0.78702226 -0.44733468 -0.01811689 -0.54974368 -1.56068147 0.01148034 -0.43681578 2.42644879], Predicted=1 X=[ 0.64615301 0.01745194 1.37023377 1.12561178 0.14774708 0.74634612 -0.38501348 1.09430274 -1.18068962 -0.43681578 -1.23061624], Predicted=0 X=[ 0.527639 0.41433932 -0.36519658 -0.96448315 -0.35578364 -0.19453143 0.13271 -0.35691029 0.077712 0.527131 0.23220977], Predicted=0 X=[ 0.05358295 -0.57787912 0.79175698 0.00169281 -0.17268156 -0.07692173 -0.54974368 -0.36694172 -0.91576296 0.1766049 0.23220977], Predicted=0 X=[-0.18344508 -0.18099175 1.45287331 0.31717883 0.74282884 0.86395581 1.30935429 0.47569811 -0.38590965 0.08897337 -0.74300757], Predicted=0 X=[-0.06493106 0.41433932 0.04800112 -0.0771787 0.1935226 -1.78226228 -0.22028328 0.42554098 0.01148034 -0.78734189 -1.14934812], Predicted=0 X=[-0.89452915 -0.0817699 -0.1999175 -0.96448315 -0.4931102 -1.07660412 -1.30279603 -1.09254824 0.87249197 -0.43681578 0.47601411], Predicted=0 X=[-1.25007119 -0.9747665 0.29591974 -1.04335466 -0.44733468 -0.25333627 -0.99686851 -1.54061862 -0.18721466 -0.08628968 1.20742712], Predicted=0 X=[-0.30195909 -0.67710097 0.37855928 -0.82645801 -0.90508988 0.27590734 -0.80860543 -0.87854447 0.40887032 -0.78734189 0.47601411], Predicted=0 X=[ 1.00169505 0.61278301 -0.28255704 0.31717883 0.10197156 -0.60616535 1.26228852 0.3586648 -1.44561627 -0.17392121 0.31347789], Predicted=0 X=[ 0.05358295 -1.17321019 0.13064066 -1.0039189 -0.12690604 -0.84138474 1.02695966 -0.44384932 0.40887032 1.14055168 0.23220977], Predicted=0 X=[-1.84264125 -0.47865728 1.86607101 -1.08279041 -0.21845708 0.62873642 0.06211135 -0.94876445 -0.18721466 1.14055168 -0.66173945], Predicted=0 X=[-1.48709922 -0.47865728 -0.36519658 -0.64899712 -1.04241644 -0.95899443 -1.16159871 -1.11929871 0.40887032 0.1766049 0.55728222], Predicted=0 X=[ 0.40912499 -1.47087572 1.0396756 -1.0039189 -0.08113052 0.74634612 -0.64387523 -0.92201398 -1.44561627 -0.34918426 0.47601411], Predicted=0 X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527 0.33084916 0.68754127 0.27390732 0.25835054 0.67379698 2.36739305 -0.74300757], Predicted=0 X=[ 0.17209696 -1.07398834 0.2132802 0.00169281 0.4224002 0.39351704 -0.3614806 -0.2833465 -0.51837298 0.08897337 0.394746 ], Predicted=0 X=[-0.77601514 -0.18099175 -0.11727796 1.75658383 -0.67621228 1.68722366 1.09755832 1.44540267 0.8062603 1.05292016 -0.90554379], Predicted=0 X=[-0.30195909 0.21589563 0.95703606 0.31717883 -0.35578364 1.09917519 1.45055161 0.52585524 -0.05475133 -0.08628968 -0.82427568], Predicted=0 X=[ 0.29061097 0.41433932 -0.11727796 0.90871513 -0.35578364 -1.13540897 -1.70285508 -0.10946844 0.34263866 -0.78734189 0.80108656], Predicted=0 X=[ 0.17209696 -0.67710097 0.04800112 0.31717883 0.51395124 -0.95899443 -0.87920408 0.45897907 -1.31315295 0.87765711 -0.90554379], Predicted=0 X=[ 1.83129314 -0.57787912 -0.44783612 2.44670951 -0.81353884 1.15798004 -0.1967504 1.32836936 -1.51184794 -1.22549952 0.88235467], Predicted=1 X=[-0.30195909 -0.57787912 1.61815239 1.71714808 0.28507364 -0.78257989 -0.05555308 1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=0 X=[ 1.35723709 0.51356116 -0.11727796 -0.35322897 -0.21845708 -0.25333627 0.97989389 -0.73141688 -1.77677459 2.19213 1.36996334], Predicted=0 X=[ 1.59426511 1.40655776 -0.36519658 -0.45181836 -0.7219878 -0.25333627 -0.90273697 -0.97885873 -1.24692128 -1.48839409 1.85757201], Predicted=0 X=[-0.06493106 0.21589563 -0.53047566 1.02702239 -0.81353884 -0.78257989 -0.97333563 -0.29672173 -1.51184794 -0.96260494 0.96362278], Predicted=0 X=[-1.25007119 -0.87554465 -0.77839428 -1.0039189 -0.08113052 0.15829765 -0.24381617 -0.13621891 3.85291685 0.96528863 0.06967355], Predicted=0 X=[-1.13155718 -0.77632281 0.54383836 -1.0039189 0.05619604 -0.72377504 -1.09100005 -0.57091406 0.077712 -0.34918426 -0.41793512], Predicted=0 X=[ 0.40912499 -0.37943543 0.2132802 -0.86589377 -0.76776332 -0.84138474 -1.77345374 -1.09254824 -0.38590965 1.22818321 1.61376767], Predicted=1 X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=0 X=[-2.07966928 -1.37165388 -0.69575474 -1.12222616 -0.31000812 -1.19421382 -1.16159871 -0.71135403 0.21017533 -0.52444731 -1.06808001], Predicted=0 X=[ 0.40912499 -0.28021359 0.46119882 2.47628633 -0.35578364 0.39351704 0.39157175 1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=0 X=[ 4.09124986e-01 1.90266698e+00 -1.43951060e+00 -9.68965766e-02 1.01971559e-01 -1.25301866e+00 -3.14414825e-01 8.44724758e-02 -6.50836305e-01 1.34184656e-03 -5.80471343e-01], Predicted=0 X=[ 0.64615301 -0.9747665 -0.36519658 -0.98420103 -0.17268156 -0.07692173 -0.87920408 -0.06265511 2.32958858 0.96528863 -0.01159456], Predicted=0 X=[-1.84264125 3.04371819 -2.18326647 0.13971794 -0.08113052 -0.07692173 0.15624289 0.15803627 1.0049553 0.70239405 -0.66173945], Predicted=0 X=[-1.01304317 -0.67710097 -0.28255704 0.45520397 -0.44733468 0.68754127 -0.26734905 -0.11615605 -0.05475133 -0.87497341 0.06967355], Predicted=0 X=[-0.30195909 1.80344514 1.28759423 0.19887157 0.28507364 -0.95899443 1.07402544 0.52585524 -0.51837298 -0.96260494 -1.23061624], Predicted=0 X=[-0.53898711 0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928 -0.38501348 -0.81166829 1.13741862 1.92923542 1.61376767], Predicted=1 X=[ 0.527639 0.8112267 2.36190825 0.13971794 -0.58466124 0.74634612 1.09755832 0.23160006 -0.31967798 1.14055168 0.06967355], Predicted=0 X=[ 0.17209696 -0.47865728 -0.6131152 0.15943582 -0.21845708 -0.84138474 -1.13806583 0.35532099 0.21017533 0.527131 -0.82427568], Predicted=0 X=[ 0.527639 -0.87554465 -0.77839428 -0.01802507 0.37662468 -0.07692173 2.18007107 0.79335995 1.13741862 0.43949948 -0.41793512], Predicted=0 X=[-0.06493106 0.51356116 -0.1999175 0.19887157 -0.035355 -0.07692173 0.10917712 -0.59097691 -0.8495313 0.527131 1.36996334], Predicted=0 X=[-1.01304317 -0.9747665 -0.53047566 -0.96448315 1.97876787 0.27590734 0.10917712 -0.57760167 1.99843026 1.14055168 0.23220977], Predicted=0 X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 -0.52444731 0.63855033], Predicted=0 X=[-0.18344508 3.2917728 -1.0263129 -0.93490633 3.26048243 0.27590734 2.39186704 -0.07603035 -0.51837298 0.70239405 -0.9868119 ], Predicted=0 X=[-1.72412724 -0.47865728 0.2132802 -0.96448315 -0.7219878 2.27527212 -0.40854637 -1.42692912 0.34263866 4.38291814 1.28869523], Predicted=1 X=[-0.18344508 -0.87554465 -0.11727796 -0.53068986 -0.21845708 -0.5473605 -1.46752623 -0.76819878 -1.90923792 0.70239405 -0.01159456], Predicted=0 X=[ 1.71277913 0.01745194 -0.53047566 2.19037712 -0.035355 0.74634612 2.69779455 2.04394445 -1.11445795 0.61476253 -1.14934812], Predicted=0 X=[-0.06493106 -0.9747665 1.0396756 -0.98420103 0.83437988 0.09949281 0.50923618 -0.54416359 1.20365029 -0.34918426 0.47601411], Predicted=0 X=[-1.25007119 -0.67710097 -0.11727796 -0.94476527 -0.035355 0.15829765 -1.0204014 -1.52724338 0.27640699 3.94476052 1.53249956], Predicted=1 X=[-0.77601514 -0.77632281 -0.03463842 -0.19548596 -0.81353884 -0.84138474 -1.49105911 -1.306552 1.13741862 -0.69971036 2.42644879], Predicted=1 X=[ 2.4238632 -0.0817699 0.04800112 0.8495615 -0.76776332 -0.92959201 0.65043349 0.89033041 -0.38590965 -0.08628968 0.06967355], Predicted=0 X=[ 0.29061097 -1.57009756 -0.28255704 -0.64899712 -1.27129404 -1.19421382 -2.38530877 -1.33330247 -1.11445795 0.26423642 1.126159 ], Predicted=1 X=[ 0.05358295 -0.57787912 1.28759423 0.12000007 0.78860436 0.86395581 0.69749926 0.55929333 2.32958858 0.08897337 -0.17413078], Predicted=0 X=[-0.06493106 -1.66931941 -0.53047566 0.43548609 -0.08113052 0.56993158 -0.80860543 0.17141151 0.077712 -1.05023647 -0.49920323], Predicted=0 X=[ 0.29061097 -0.87554465 -0.44783612 -0.55040774 -0.58466124 -1.13540897 -1.42046046 -0.34353506 -1.84300626 2.5426561 0.71981845], Predicted=0 X=[-0.89452915 0.41433932 -0.77839428 -0.96448315 -0.44733468 0.15829765 -0.33794771 -1.41355388 0.67379698 -0.61207884 1.53249956], Predicted=0 X=[ 0.05358295 -0.18099175 -0.36519658 -0.43210048 -0.12690604 -0.13572658 -0.57327657 -1.27980153 -0.18721466 -1.57602562 1.61376767], Predicted=1 X=[-0.06493106 -0.37943543 0.04800112 -0.72786863 0.05619604 1.71662608 1.88590999 -0.2097827 0.74002864 0.79002558 -0.66173945], Predicted=0 X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111 -0.67621228 -0.25333627 -1.09100005 -0.61103976 -1.18068962 -1.40076257 1.20742712], Predicted=0 X=[-1.48709922 -0.18099175 -2.76174325 0.75097212 -0.35578364 -1.31182351 -0.64387523 -0.29337792 1.66727194 -0.26155273 1.53249956], Predicted=1 X=[ 3.72751734 -0.47865728 -0.53047566 1.51996931 -0.58466124 0.56993158 0.65043349 1.59587407 -3.10140787 -0.52444731 -0.66173945], Predicted=0 X=[ 0.64615301 -0.37943543 -0.94367336 0.8495615 -0.17268156 -0.5473605 -1.3498618 0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=0 X=[ 0.64615301 -1.22282111 0.04800112 -0.80674014 -0.035355 2.2458697 1.78001201 -0.2097827 -0.05475133 1.05292016 -0.49920323], Predicted=0 X=[-0.53898711 0.11667379 -0.77839428 -0.62927925 -0.40155916 -0.25333627 -1.0204014 -1.54061862 -1.90923792 1.49107779 1.69503579], Predicted=1 X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01 -2.64232600e-01 3.34712191e-01 1.75647912e+00 -4.43849321e-01 6.07565312e-01 1.34184656e-03 1.04489089e+00], Predicted=0 X=[ 1.00169505 -1.27243203 -0.36519658 -1.0039189 -0.76776332 -1.48823805 -1.74992086 -0.27665888 1.07118696 -0.87497341 -0.33666701], Predicted=0 X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103 0.05619604 -0.31214112 -1.13806583 -0.79829306 0.54133365 0.43949948 0.55728222], Predicted=0 X=[ 0.76466702 0.31511748 1.45287331 1.65799445 -0.31000812 1.56961397 1.54468315 1.39524554 -0.8495313 0.96528863 -0.82427568], Predicted=0 X=[ 0.40912499 0.41433932 -0.77839428 -0.15605021 -0.58466124 -0.72377504 -0.43207925 -0.22984555 -1.77677459 1.49107779 -0.17413078], Predicted=0 X=[-0.89452915 0.8112267 -0.6131152 0.34675565 -0.4931102 -1.25301866 -1.1851316 -1.24301963 -0.8495313 -1.92655172 2.02010823], Predicted=0 X=[ 2.54237721 0.31511748 1.28759423 0.10028219 -0.53888572 -0.5473605 -1.11453294 -0.10946844 -1.31315295 -1.31313104 0.80108656], Predicted=0 X=[-0.4204731 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=0 X=[-0.18344508 0.31511748 -1.27423152 0.2580252 -0.12690604 1.27558973 1.45055161 0.5459181 -0.12098299 -0.43681578 -0.90554379], Predicted=0 X=[ 0.88318104 -0.9747665 1.0396756 0.75097212 0.4224002 1.33439458 -0.07908597 0.9271123 -0.31967798 -0.52444731 -0.49920323], Predicted=0 X=[ 0.40912499 -0.57787912 -0.44783612 0.15943582 0.6512778 0.33471219 -0.14968462 -0.17634461 -0.71706797 0.87765711 0.63855033], Predicted=0 X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137 0.10197156 0.33471219 0.53276906 -0.49066264 -0.18721466 0.08897337 -0.01159456], Predicted=0 X=[ 0.05358295 0.01745194 0.54383836 0.35661459 -0.44733468 -1.19421382 -1.0204014 0.12459818 -0.12098299 -1.40076257 -0.2553989 ], Predicted=0 X=[-1.3685852 0.56317209 0.04800112 -1.06307253 -0.2642326 -1.31182351 0.83869658 -0.67791594 0.54133365 1.49107779 -0.41793512], Predicted=0 X=[-0.4204731 -0.57787912 -1.19159198 -0.37294685 2.29919651 -1.13540897 -0.54974368 -0.10946844 -1.11445795 -0.43681578 -0.74300757], Predicted=0 X=[-1.01304317 -0.28021359 -0.44783612 0.2580252 0.33084916 0.09949281 -0.14968462 0.28844481 -0.8495313 0.08897337 -0.90554379], Predicted=0 X=[ 0.527639 -0.67710097 -0.28255704 0.88899726 -0.40155916 -1.01779928 -0.62034234 0.99398848 1.40234528 0.08897337 -0.74300757], Predicted=0 X=[-0.06493106 -0.18099175 0.04800112 1.48053356 -0.53888572 0.2171025 -0.10261885 0.29178862 0.93872363 0.35186795 1.20742712], Predicted=1 X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=0 X=[-0.18344508 2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989 -0.40854637 -1.71449668 -0.25344632 0.35186795 1.7763039 ], Predicted=0 X=[ 0.05358295 -0.87554465 0.37855928 -1.03349572 -1.04241644 -0.31214112 -0.78507254 -1.18951869 -0.51837298 -0.96260494 0.71981845], Predicted=0 X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=0 X=[ 0.05358295 0.51356116 -0.6131152 -0.27435747 -0.85931436 0.62873642 0.10917712 -0.54416359 0.40887032 -0.52444731 0.55728222], Predicted=0 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[-0.30195909 0.11667379 -0.36519658 -0.90532952 -0.44733468 0.15829765 -0.8556712 -1.95190711 -0.71706797 -0.61207884 2.58898502], Predicted=1 X=[ 0.40912499 0.61278301 -1.10895244 -0.11661445 0.74282884 0.9815655 1.52115026 0.19481817 -0.12098299 -0.43681578 -0.58047134], Predicted=0 X=[-0.18344508 -0.67710097 0.70911744 0.53407548 0.14774708 -0.25333627 0.27390732 0.42554098 -0.45214131 2.19213 -0.49920323], Predicted=0 X=[-1.25007119 0.01745194 0.04800112 -0.82645801 -0.40155916 -0.6649702 -0.31441482 -1.39349103 1.13741862 -1.40076257 1.85757201], Predicted=0 X=[ 0.29061097 -1.17321019 0.2132802 0.8495615 -0.08113052 -0.90018958 -1.13806583 0.62616951 -0.18721466 -0.43681578 0.31347789], Predicted=0 X=[ 1.83129314 0.71200485 1.86607101 1.46081568 0.10197156 1.15798004 1.21522275 1.76306451 -0.78329963 0.79002558 -0.90554379], Predicted=0 X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=0 X=[-0.89452915 -0.0817699 -0.28255704 2.0326341 -0.31000812 0.80515096 0.79163081 1.946974 1.40234528 -0.34918426 -0.90554379], Predicted=0 X=[ 1.83129314 -0.0817699 -0.28255704 -0.82645801 -0.40155916 0.04068796 -0.22028328 -1.06245396 -1.97546959 -1.66365715 0.77399719], Predicted=0 X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=0 X=[ 0.29061097 0.51356116 -0.69575474 -0.94476527 -0.7219878 -0.60616535 -0.29088194 -1.31323962 0.21017533 -1.31313104 1.28869523], Predicted=0 X=[-1.01304317 0.8112267 -1.4395106 -0.01802507 -0.44733468 0.04068796 1.23875564 0.05772201 -0.12098299 1.14055168 -0.58047134], Predicted=0 X=[-1.84264125 -0.03215898 -0.77839428 0.19887157 -0.35578364 -0.42975081 -0.57327657 -0.30006554 1.26988195 0.1766049 0.394746 ], Predicted=0 X=[-0.77601514 0.01745194 -0.53047566 0.77069 -0.7219878 -0.5473605 -0.71447388 -0.04927988 0.077712 -1.13786799 0.15094166], Predicted=0 X=[-0.30195909 0.51356116 -0.77839428 1.9044679 -0.035355 -0.25333627 0.20330866 1.40193316 -0.71706797 0.26423642 -1.06808001], Predicted=0 X=[-0.06493106 -0.77632281 -0.44783612 1.22420116 0.10197156 1.09917519 -0.05555308 0.51248001 0.01148034 -1.05023647 0.15094166], Predicted=0 X=[ 0.29061097 0.71200485 -0.53047566 -0.64899712 -0.53888572 -0.42975081 -0.10261885 -1.44699197 0.47510198 -0.96260494 2.10137634], Predicted=1 X=[-0.18344508 1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535 -1.25573025 -1.05911015 -0.91576296 -1.31313104 0.96362278], Predicted=0 X=[-0.30195909 1.30733592 -1.4395106 -0.98420103 -0.40155916 -0.42975081 0.50923618 -0.78826163 -1.5780796 -0.34918426 0.06967355], Predicted=0 X=[-0.4204731 -1.61970849 -0.36519658 -0.8757527 -0.35578364 2.21646728 0.65043349 -1.68105859 -0.45214131 -2.10181478 1.93884012], Predicted=1 X=[-0.06493106 1.70422329 0.2132802 -0.27435747 -0.58466124 -0.42975081 0.41510463 -1.01229682 -0.51837298 -0.78734189 1.53249956], Predicted=0 X=[-0.06493106 -0.67710097 0.2132802 2.30868438 0.01042052 -0.19453143 -0.12615174 1.99713113 0.54133365 -0.08628968 -1.39315246], Predicted=0 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[ 0.05358295 0.21589563 0.95703606 -0.98420103 -0.31000812 0.04068796 -0.38501348 -1.14939299 -0.78329963 -0.17392121 0.47601411], Predicted=0 X=[ 0.29061097 0.21589563 1.28759423 -0.94476527 -0.035355 -0.25333627 -0.90273697 0.05772201 1.40234528 0.87765711 -0.2553989 ], Predicted=0 X=[ 1.23872307 0.66239393 1.45287331 1.75658383 0.05619604 1.09917519 0.76809792 1.56243598 -0.6508363 0.1766049 -1.14934812], Predicted=0 X=[ 0.05358295 -0.0817699 0.54383836 1.50025143 0.1935226 1.68722366 2.08593952 1.29493128 -0.05475133 0.79002558 -0.74300757], Predicted=0 X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=0 X=[-0.06493106 -0.18099175 0.87439652 0.35661459 0.01042052 0.9815655 1.05049255 0.60610665 0.077712 0.1766049 -0.90554379], Predicted=0 X=[-0.06493106 -0.0817699 -0.44783612 1.3622263 1.38368612 0.86395581 0.57983483 1.29493128 -1.04822629 -0.96260494 -1.55568868], Predicted=0 X=[ 0.40912499 -0.67710097 0.13064066 1.59884082 0.10197156 -0.01811689 0.93282812 1.39524554 -0.91576296 -0.17392121 -1.31188435], Predicted=0 X=[ 0.40912499 0.41433932 -0.28255704 0.36647352 -1.179743 -1.25301866 -0.80860543 -0.13621891 -1.31315295 -0.43681578 0.71981845], Predicted=0 X=[-1.72412724 1.35694684 -1.19159198 -0.94476527 -0.31000812 -0.48855566 -1.1851316 -0.46056836 2.32958858 -0.69971036 -0.41793512], Predicted=0 X=[-0.4204731 0.41433932 -0.86103382 -1.02363678 0.37662468 0.2171025 1.63881469 -0.4371617 -0.05475133 -0.26155273 -0.49920323], Predicted=0 X=[-1.13155718 1.60500145 -0.03463842 -1.02363678 0.14774708 -1.37062835 -0.50267791 -0.89860732 1.79973526 -0.43681578 0.80108656], Predicted=0 X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[-0.89452915 -0.28021359 -0.77839428 1.12561178 0.01042052 0.92276066 0.79163081 1.32836936 1.07118696 -0.34918426 -0.82427568], Predicted=0 X=[-1.13155718e+00 -5.77879122e-01 -1.27423152e+00 1.69280668e-03 -2.18457080e-01 -4.29750812e-01 -4.32079253e-01 8.77254871e-04 5.41333648e-01 8.89733725e-02 -4.99203231e-01], Predicted=0 X=[ 1.00169505 1.50577961 -0.44783612 -0.37294685 0.01042052 -0.13572658 -0.8556712 -0.74479212 -0.18721466 0.61476253 1.36996334], Predicted=0 X=[ 3.3719753 -0.37943543 0.95703606 -1.02363678 -0.58466124 -1.4294332 -1.86758528 -0.47728741 -2.96894455 -0.17392121 0.23220977], Predicted=0 X=[ 0.05358295 -0.47865728 -0.03463842 1.26363691 0.46817572 0.51112673 0.72103215 1.32836936 1.53480861 -0.61207884 -0.58047134], Predicted=0 X=[-1.01304317 -0.67710097 -0.28255704 0.45520397 -0.44733468 0.68754127 -0.26734905 -0.11615605 -0.05475133 -0.87497341 0.06967355], Predicted=0 X=[-1.25007119 -0.77632281 0.04800112 -1.06307253 -0.4931102 0.27590734 -1.23219737 -1.37008437 2.06466192 -0.61207884 0.96362278], Predicted=1 X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504 -0.17321751 -0.79829306 0.40887032 -0.34918426 -0.58047134], Predicted=0 X=[-0.06493106 -0.37943543 -0.03463842 -0.62927925 0.14774708 1.92244304 0.53276906 -0.26328364 -0.58460464 1.75397237 -0.2553989 ], Predicted=0 X=[-1.01304317 0.01745194 -0.94367336 1.13547071 0.10197156 0.39351704 0.57983483 0.55929333 0.077712 -0.26155273 -0.33666701], Predicted=0 X=[-0.53898711 -0.37943543 -0.94367336 -0.96448315 -0.35578364 0.15829765 0.43863752 -0.2097827 1.46857694 0.527131 -0.49920323], Predicted=0 X=[ 2.30534919 1.10889223 0.13064066 -0.90532952 2.29919651 -0.78257989 -1.37339468 -1.29317677 -1.5780796 0.43949948 1.69503579], Predicted=0 X=[ 0.527639 2.10111067 -0.11727796 -0.23492171 -0.12690604 -1.01779928 -0.80860543 0.39210289 0.34263866 -0.34918426 0.15094166], Predicted=0 X=[ 0.40912499 0.01745194 -0.28255704 0.8495615 -0.08113052 1.51080912 1.96827509 1.06086466 -0.31967798 0.08897337 -1.14934812], Predicted=0 X=[ 0.29061097 0.01745194 1.28759423 0.02141068 -0.21845708 -0.42975081 -0.64387523 -0.47728741 1.46857694 0.79002558 1.36996334], Predicted=1 X=[-0.06493106 0.01745194 0.04800112 0.21858945 -0.4931102 -0.07692173 0.90929523 0.96723801 0.93872363 -0.52444731 -1.14934812], Predicted=0 X=[-0.53898711 -0.28021359 -0.11727796 0.96786876 -0.35578364 1.98124789 1.26228852 0.56932476 -0.31967798 0.08897337 -0.2553989 ], Predicted=0 X=[ 1.23872307 0.66239393 1.45287331 1.75658383 0.05619604 1.09917519 0.76809792 1.56243598 -0.6508363 0.1766049 -1.14934812], Predicted=0 X=[-1.01304317 -0.0817699 -1.52215014 -0.96448315 0.46817572 -0.01811689 -0.24381617 -0.14290653 -0.45214131 -0.34918426 -1.39315246], Predicted=0 X=[-1.84264125 -0.77632281 -0.1999175 -0.55040774 -0.44733468 -0.78257989 -1.11453294 -0.41709885 1.46857694 0.08897337 -0.58047134], Predicted=0 X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=0 X=[-0.18344508 0.51356116 0.04800112 0.04112856 0.97170644 -0.01811689 0.41510463 0.46566668 -0.51837298 -0.08628968 -0.9868119 ], Predicted=0 X=[ 1.94980715 -1.17321019 -0.03463842 -1.06307253 1.38368612 -1.07660412 -1.91465106 -0.64447785 -0.31967798 -0.26155273 0.06967355], Predicted=0 X=[ 0.88318104 0.91044854 1.45287331 1.04674027 2.20764547 1.33439458 1.00342678 1.24811795 -1.84300626 0.1766049 -1.23061624], Predicted=0 X=[-0.06493106 0.61278301 3.35358273 -0.70815075 1.93299236 -0.72377504 1.09755832 -0.41041123 2.13089358 1.84160389 1.20742712], Predicted=0 X=[ 0.76466702 -0.67710097 0.04800112 -1.02363678 0.6512778 -0.5473605 -0.64387523 -0.31009697 2.13089358 -0.17392121 0.15094166], Predicted=0 X=[ 0.40912499 0.61278301 -0.44783612 0.79040787 2.84850275 0.45232188 1.14462409 1.12105322 -1.51184794 0.70239405 -0.90554379], Predicted=0 X=[-0.4204731 -0.57787912 0.04800112 1.1058939 0.33084916 1.15798004 0.90929523 1.42868363 2.19712525 -0.43681578 -0.49920323], Predicted=0 X=[ 1.23872307 -0.87554465 0.95703606 -0.96448315 -0.035355 -1.07660412 -0.99686851 -0.7782302 -0.38590965 -0.87497341 0.394746 ], Predicted=0 X=[ 5.35829483e-02 -7.76322810e-01 2.95919742e-01 -3.77429466e-02 -8.59314358e-01 -6.64970198e-01 -9.73335626e-01 -6.77915939e-01 1.26988195e+00 1.34184656e-03 1.36996334e+00], Predicted=1 X=[ 2.77940524 0.61278301 1.70079193 2.15094136 0.6512778 0.62873642 2.27420261 2.60570434 -0.71706797 1.05292016 -1.39315246], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[-0.53898711 -1.07398834 -0.28255704 -0.70815075 -0.53888572 -0.13572658 -0.31441482 -0.83841876 -1.04822629 0.00134185 -0.09286267], Predicted=0 X=[-0.06493106 0.61278301 -0.53047566 -0.23492171 0.6512778 -1.25301866 0.72103215 -0.50403788 0.54133365 0.70239405 0.88235467], Predicted=0 X=[ 0.17209696 -1.37165388 1.28759423 -0.09689658 0.33084916 -0.78257989 -0.47914502 0.45897907 1.13741862 -1.13786799 -0.90554379], Predicted=0 X=[-1.01304317 3.88710387 -2.18326647 -1.02363678 0.6512778 -1.54704289 -0.71447388 -0.31009697 -0.51837298 -1.22549952 -1.47442057], Predicted=0 X=[ 1.4757511 -0.0817699 -0.03463842 -1.0039189 -0.035355 -0.5473605 -0.90273697 -1.12598632 -1.37938461 -0.43681578 1.53249956], Predicted=0 X=[-0.53898711 0.41433932 1.37023377 0.8495615 0.05619604 1.27558973 1.59174892 0.9271123 -0.71706797 0.96528863 -0.90554379], Predicted=0 X=[-1.13155718 -0.37943543 -0.44783612 -1.0039189 -0.63043676 0.04068796 -1.0204014 -1.71784049 -0.71706797 1.31581474 1.93884012], Predicted=1 X=[-1.84264125 -1.17321019 0.46119882 -1.06307253 -0.81353884 0.27590734 -0.87920408 -0.82504353 2.52828357 0.87765711 0.06967355], Predicted=0 X=[ 0.40912499 -0.77632281 0.04800112 -0.72786863 -0.63043676 0.80515096 0.29744021 -1.34667771 -0.18721466 -0.87497341 1.7763039 ], Predicted=1 X=[-1.25007119 -1.27243203 -0.11727796 -1.02363678 -0.40155916 -1.25301866 -0.45561214 -0.8885759 0.01148034 0.08897337 -0.2553989 ], Predicted=0 X=[ 0.76466702 -0.47865728 2.85774549 0.90871513 0.05619604 0.09949281 -0.12615174 1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=0 X=[ 0.05358295 0.11667379 0.54383836 2.57487571 -0.12690604 0.04068796 0.41510463 1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=0 X=[-1.01304317 -1.17321019 -0.53047566 1.1058939 -0.7219878 0.2171025 -0.94980274 -0.00246655 -0.25344632 -1.31313104 0.23220977], Predicted=0 X=[ 1.00169505 -0.28021359 1.28759423 -0.76730438 0.05619604 -0.25333627 0.72103215 -0.50403788 -0.78329963 0.70239405 0.06967355], Predicted=0 X=[-0.65750113 0.41433932 -0.11727796 -0.96448315 -0.40155916 -1.37062835 -1.46752623 -1.37008437 0.74002864 -0.26155273 1.45123145], Predicted=0 X=[-0.06493106 -0.47865728 0.70911744 0.19887157 -0.08113052 1.21678489 1.19168986 0.59273142 0.21017533 -0.08628968 -0.9868119 ], Predicted=0 X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=0 X=[ 0.88318104 -0.57787912 0.04800112 0.65238274 -0.4931102 -0.5473605 0.10917712 0.82679804 -0.71706797 0.00134185 -0.58047134], Predicted=0 X=[-1.01304317 -0.57787912 -0.03463842 1.14532965 -0.58466124 -0.60616535 -0.97333563 -0.15628176 -0.12098299 -0.61207884 0.63855033], Predicted=0 X=[ 0.64615301 0.01745194 0.2132802 -1.04335466 -0.81353884 0.39351704 -0.78507254 -1.58074433 -1.31315295 -0.87497341 1.53249956], Predicted=0 X=[ 1.23872307 -0.9747665 0.29591974 -0.668715 0.69705332 -0.60616535 0.93282812 0.32522671 0.21017533 0.1766049 -0.41793512], Predicted=0 X=[-0.18344508 -0.87554465 0.6264779 1.81573746 0.46817572 2.33407697 0.39157175 1.82994069 0.077712 -0.43681578 -1.39315246], Predicted=0 X=[-0.30195909 -0.47865728 -0.6131152 -1.0039189 -0.035355 -1.13540897 -0.24381617 -0.2097827 1.13741862 0.96528863 -0.41793512], Predicted=0 X=[-0.30195909 1.50577961 -0.77839428 1.08617602 -0.2642326 1.09917519 0.48570329 0.73317139 -0.31967798 0.43949948 -0.58047134], Predicted=0 X=[-0.06493106 -0.18099175 1.20495468 -0.03774295 0.14774708 1.15798004 1.02695966 0.59941904 0.14394366 -0.34918426 -0.90554379], Predicted=0 X=[-0.18344508 -0.37943543 0.46119882 -0.68843288 5.82391155 1.62841881 0.43863752 -0.10946844 -0.58460464 -1.31313104 -0.90554379], Predicted=0 X=[ 1.4757511 0.01745194 1.0396756 1.77630171 0.60550228 -0.19453143 0.90929523 2.13088348 0.54133365 0.79002558 -1.23061624], Predicted=0 X=[-1.3685852 -0.28021359 -0.6131152 1.20448328 0.14774708 1.01096792 -0.76153965 0.9638942 -0.71706797 -0.34918426 -0.90554379], Predicted=0 X=[-0.18344508 -0.13138082 -0.94367336 0.43548609 0.10197156 1.09917519 1.40348584 0.49241715 0.40887032 -0.69971036 -0.2553989 ], Predicted=0 X=[-0.06493106 0.11667379 1.86607101 1.08617602 -0.12690604 1.80483335 2.15653818 1.06086466 -1.11445795 1.22818321 -0.9868119 ], Predicted=0 X=[ 0.17209696 -0.57787912 -0.44783612 -0.96448315 -0.40155916 -0.37094597 -0.54974368 -0.44384932 -0.51837298 0.527131 -0.01159456], Predicted=0 X=[-0.53898711 0.51356116 -0.77839428 0.67210061 -0.21845708 -0.37094597 -0.690941 0.52585524 0.67379698 -0.17392121 -0.33666701], Predicted=0 X=[-1.01304317 -0.18099175 -0.11727796 -0.51097199 -0.76776332 0.74634612 0.97989389 -1.30989581 -0.25344632 -1.31313104 1.20742712], Predicted=0 X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=0 X=[ 0.05358295 1.30733592 -0.03463842 0.73125424 -0.12690604 -0.42975081 0.32097309 0.9271123 0.077712 0.26423642 -0.90554379], Predicted=0 X=[ 0.88318104 2.29955436 -0.77839428 -1.02363678 -0.2642326 -1.48823805 -0.80860543 -0.67791594 -0.91576296 -1.75128867 0.23220977], Predicted=0 X=[ 0.527639 0.31511748 2.94038503 0.75097212 -0.21845708 1.33439458 0.50923618 1.2280551 -0.8495313 -0.34918426 -1.55568868], Predicted=0 X=[-1.13155718 -0.67710097 -0.44783612 -0.35322897 0.33084916 0.27590734 1.42701872 0.79335995 3.52175853 1.84160389 -0.41793512], Predicted=0 X=[ 0.17209696 0.21589563 -0.53047566 -0.96448315 1.38368612 -0.6649702 0.15624289 -0.19640747 -0.58460464 0.26423642 -0.33666701], Predicted=0 X=[-1.01304317 0.21589563 0.87439652 -0.96448315 0.01042052 -1.19421382 1.02695966 0.17475531 2.06466192 0.26423642 -0.09286267], Predicted=0 X=[-0.30195909 -0.28021359 -0.1999175 1.18476541 0.60550228 0.9815655 1.00342678 1.46212172 2.13089358 -0.17392121 -0.58047134], Predicted=0 X=[-0.89452915 -0.57787912 1.28759423 -0.96448315 0.23929812 -1.01779928 -1.20866448 -0.41041123 0.74002864 -0.26155273 -0.74300757], Predicted=0 X=[ 1.94980715 0.21589563 -0.44783612 -0.64899712 0.37662468 1.09917519 0.83869658 0.46901049 0.14394366 -0.52444731 -0.90554379], Predicted=0 X=[-0.77601514 0.41433932 1.37023377 0.02141068 0.10197156 1.51080912 1.12109121 0.25835054 0.01148034 -0.34918426 -0.74300757], Predicted=0 X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916 0.15829765 -1.06746717 -1.27645772 1.13741862 0.00134185 1.20742712], Predicted=1 X=[-0.89452915 -0.67710097 0.37855928 -0.96448315 -0.31000812 0.09949281 -0.38501348 -1.44030435 0.077712 -0.52444731 1.20742712], Predicted=0 X=[-0.06493106 -0.77632281 0.2132802 -0.94476527 -0.81353884 -1.66465259 -2.1735128 -0.76151116 0.14394366 0.96528863 0.31347789], Predicted=0 X=[-0.4204731 0.21589563 -0.36519658 -0.81659907 -0.40155916 -1.60584774 1.68588046 -0.10946844 0.01148034 1.14055168 -0.49920323], Predicted=0 X=[ 1.71277913 -0.67710097 2.03135009 2.11150561 0.14774708 1.56961397 1.75647912 2.19775966 -1.18068962 0.1766049 -0.9868119 ], Predicted=0 X=[ 1.00169505 -0.47865728 -0.1999175 0.8495615 -0.35578364 1.39319943 1.12109121 0.96055039 -0.45214131 0.527131 -0.82427568], Predicted=0 X=[-0.53898711 -0.37943543 -0.86103382 -0.86589377 0.01042052 -0.31214112 -0.12615174 -1.079173 -0.45214131 0.43949948 0.71981845], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=0 X=[ 0.29061097 1.60500145 0.29591974 -0.72786863 -0.21845708 -0.01811689 -0.24381617 -1.48043006 -0.78329963 -0.52444731 2.42644879], Predicted=0 X=[ 0.88318104 0.06706287 -0.11727796 1.61855869 0.78860436 -0.19453143 1.47408449 1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=0 X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=0 X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468 2.27527212 1.07402544 -1.02567206 0.21017533 -0.69971036 0.394746 ], Predicted=0 X=[-1.01304317 -0.77632281 -0.6131152 -1.04335466 -0.58466124 0.15829765 -1.6793222 -1.50049291 -0.31967798 -0.96260494 0.80108656], Predicted=0 X=[ 0.29061097 0.21589563 0.2132802 0.08056431 0.4224002 0.54052915 2.25066972 1.06086466 1.99843026 1.31581474 -0.2553989 ], Predicted=0 X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=0 X=[ 1.59426511 -0.47865728 1.28759423 -1.08279041 0.51395124 -1.19421382 -1.53812488 -0.41041123 -0.78329963 -0.96260494 -0.09286267], Predicted=0 X=[-0.4204731 -0.37943543 -0.11727796 0.23830733 -0.35578364 0.74634612 1.52115026 0.59273142 1.7335036 0.43949948 -0.66173945], Predicted=0 X=[-0.30195909 -0.18099175 1.0396756 0.27774308 0.05619604 0.74634612 1.12109121 0.59273142 0.077712 0.43949948 -1.14934812], Predicted=0 X=[-0.18344508 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X=[-0.30195909 -0.87554465 0.13064066 -0.96448315 -0.40155916 0.09949281 -0.73800677 -1.32661485 -0.05475133 1.66634084 1.20742712], Predicted=1 X=[-0.89452915 1.00967039 -1.60478968 -0.49125411 0.6512778 -0.48855566 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=0 X=[ 1.4757511 0.01745194 0.54383836 0.10028219 0.1935226 -0.31214112 -0.97333563 0.3586648 0.47510198 -0.43681578 -0.33666701], Predicted=0 X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916 0.15829765 -1.06746717 -1.27645772 1.13741862 0.00134185 1.20742712], Predicted=1 X=[-1.13155718 0.41433932 -0.03463842 -0.84617589 -0.85931436 -0.01811689 -0.00848731 -1.53058719 1.20365029 -0.61207884 1.7763039 ], Predicted=1 X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=0 X=[ 0.17209696 -0.9747665 -0.6131152 -0.98420103 -0.08113052 0.62873642 -1.16159871 -0.49066264 1.33611362 -0.08628968 0.15094166], Predicted=0 X=[ 1.12020906 -0.9747665 -0.1999175 1.14532965 0.33084916 0.62873642 0.03857846 1.32836936 -0.8495313 0.35186795 -1.31188435], Predicted=0 X=[ 0.64615301 1.00967039 -0.53047566 0.21858945 -0.21845708 -0.6649702 0.50923618 0.44226002 -0.12098299 -0.52444731 -0.41793512], Predicted=0 X=[ 0.64615301 -1.07398834 0.54383836 -0.17576808 -0.40155916 -0.07692173 0.53276906 -0.17634461 -0.91576296 1.14055168 0.80108656], Predicted=0 X=[-1.3685852 -0.13138082 -0.44783612 0.10028219 -0.44733468 0.62873642 0.27390732 -0.34687886 1.13741862 -0.43681578 0.23220977], Predicted=0 X=[ 1.23872307 1.80344514 -0.11727796 -0.45181836 -0.58466124 0.27590734 -0.00848731 -0.94542065 -0.05475133 -0.43681578 1.85757201], Predicted=0 X=[ 0.05358295 1.60500145 -1.27423152 1.06645815 0.23929812 -0.5473605 -0.29088194 1.16117892 0.27640699 -0.08628968 -1.14934812], Predicted=0 X=[-0.65750113 0.21589563 -1.19159198 0.2580252 0.14774708 0.68754127 1.07402544 0.37204004 0.21017533 -0.08628968 -0.82427568], Predicted=0 X=[-0.65750113 -0.77632281 -1.27423152 0.82984363 -0.035355 1.27558973 0.48570329 0.88029898 -0.6508363 0.43949948 -1.06808001], Predicted=0 X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=0 X=[-1.48709922 -0.9747665 -0.53047566 -0.9250474 -0.7219878 -0.25333627 -0.83213831 -1.70780906 1.07118696 -1.05023647 1.93884012], Predicted=1 X=[ 0.05358295 0.01745194 -0.28255704 0.37633246 -0.90508988 0.09949281 -0.59680945 -0.88188828 -1.31315295 -0.96260494 1.45123145], Predicted=1 X=[-2.55372533 5.02815508 -2.76174325 -0.58984349 -0.44733468 -0.72377504 -0.10261885 -1.41021007 2.26335691 3.76949746 2.67025313], Predicted=1 X=[-2.43521132 -1.07398834 -0.44783612 -0.68843288 -0.7219878 -0.78257989 -0.64387523 -1.27980153 1.26988195 -1.31313104 0.63855033], Predicted=0 X=[ 1.4757511 -0.57787912 0.79175698 -0.96448315 -0.08113052 -0.42975081 -0.22028328 -0.07603035 0.21017533 -0.34918426 0.394746 ], Predicted=0 X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959 0.14774708 -0.5473605 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=0 X=[ 0.64615301 -0.67710097 -0.53047566 0.1791537 -0.67621228 0.33471219 0.13271 -0.27665888 -0.25344632 -0.96260494 1.04489089], Predicted=0 X=[ 0.76466702 0.41433932 1.28759423 -0.9250474 -0.67621228 0.51112673 -0.690941 -1.14604918 -0.78329963 -0.26155273 1.61376767], Predicted=0 X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332 -1.0204014 -1.63424527 -1.51184794 -1.13786799 1.61376767], Predicted=0 X=[-0.53898711 -0.47865728 -0.6131152 0.33689671 0.37662468 0.68754127 1.00342678 0.45897907 -0.45214131 0.00134185 -0.90554379], Predicted=0 X=[ 0.64615301 -0.28021359 0.2132802 -0.85603483 0.1935226 -0.25333627 -0.90273697 -0.67791594 0.01148034 -0.43681578 0.23220977], Predicted=0 X=[-1.25007119 0.56317209 -1.60478968 -0.11661445 0.01042052 0.80515096 1.37995295 -0.10946844 0.74002864 1.92923542 -0.17413078], Predicted=0 X=[ 1.35723709 4.58165678 -1.0263129 -0.47153623 0.1935226 -0.6649702 -0.12615174 0.05103439 -0.8495313 -0.96260494 -0.66173945], Predicted=0 X=[-1.25007119 0.61278301 -1.0263129 0.04112856 -0.2642326 0.86395581 0.67396638 0.02428392 0.67379698 1.14055168 -0.41793512], Predicted=0 X=[-3.01959090e-01 -4.78657278e-01 -1.27423152e+00 4.15768217e-01 -8.11305203e-02 1.39319943e+00 1.16815698e+00 5.19167625e-01 -1.87214657e-01 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-0.89452915 -0.0817699 -0.11727796 -0.03774295 0.10197156 0.68754127 0.53276906 -0.40706742 0.21017533 0.96528863 0.394746 ], Predicted=0 X=[ 0.88318104 -1.76854125 -0.03463842 -1.06307253 -0.67621228 -0.13572658 -1.06746717 -1.03235968 -0.8495313 1.66634084 0.55728222], Predicted=1 X=[-1.01304317 -1.47087572 -0.44783612 -0.13633233 -0.35578364 1.21678489 1.20345631 0.25835054 2.6607469 -0.52444731 0.06967355], Predicted=0 X=[-0.18344508 -0.0817699 -0.69575474 0.31717883 0.33084916 1.09917519 1.49761738 0.69304568 0.21017533 -0.52444731 -0.9868119 ], Predicted=0 X=[ 0.05358295 -0.87554465 2.19662917 -0.47153623 -0.40155916 -1.72345743 -0.38501348 -0.49400645 -1.77677459 0.87765711 -0.09286267], Predicted=0 X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=0 X=[-0.4204731 0.71200485 0.37855928 0.19887157 -0.44733468 -0.90018958 1.35642006 1.03411419 1.86596693 -0.08628968 -1.14934812], Predicted=0 X=[ 0.64615301 0.11667379 -0.69575474 -0.51097199 -0.08113052 -0.31214112 -0.57327657 -0.67791594 -0.51837298 -0.78734189 0.394746 ], Predicted=0 X=[ 0.40912499 0.11667379 0.54383836 1.42137993 -0.035355 1.80483335 2.18007107 1.2280551 -0.71706797 0.87765711 -0.74300757], Predicted=0 X=[ 0.29061097 -0.57787912 -0.11727796 2.07206986 0.46817572 0.80515096 0.46217041 1.93025495 1.20365029 -0.96260494 -0.74300757], Predicted=0 X=[-0.89452915 0.31511748 2.03135009 -0.27435747 -0.31000812 0.04068796 -0.57327657 -1.04573491 0.74002864 0.96528863 1.45123145], Predicted=1 X=[-1.25007119 0.21589563 0.70911744 -1.04335466 -0.44733468 -0.95899443 -0.59680945 -1.77802905 -0.58460464 -0.26155273 1.69503579], Predicted=0 X=[-1.60561323 1.40655776 -2.01798739 -0.94476527 -1.22551852 -1.01779928 -1.65578931 -1.14604918 0.93872363 0.1766049 0.71981845], Predicted=0 X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=0 X=[ 1.35723709 -0.18099175 -0.44783612 -0.31379322 0.1935226 -0.07692173 0.27390732 0.11456676 -0.38590965 0.08897337 -0.41793512], Predicted=0 X=[ 1.12020906 0.01745194 0.04800112 -0.94476527 -0.81353884 -0.19453143 -0.47914502 -1.31323962 -1.24692128 -0.96260494 1.28869523], Predicted=0 X=[ 0.17209696 0.61278301 -0.6131152 0.77069 -0.21845708 0.92276066 0.65043349 -0.06934273 -0.71706797 -1.22549952 0.88235467], Predicted=0 X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=0 X=[ 1.00169505 -1.66931941 0.04800112 1.51011037 -0.2642326 0.33471219 -0.57327657 0.7732971 -0.78329963 0.87765711 0.394746 ], Predicted=1 X=[-0.53898711 0.31511748 -0.1999175 1.28335479 -0.035355 1.15798004 0.53276906 0.47904192 -1.11445795 0.87765711 -0.2553989 ], Predicted=0 X=[ 0.17209696 -0.77632281 0.37855928 0.33689671 0.1935226 0.39351704 0.81516369 0.60945046 0.74002864 0.43949948 -0.58047134], Predicted=0 X=[-0.89452915 -0.18099175 1.45287331 -0.82645801 0.1935226 1.51080912 0.36803886 -0.37697314 -0.71706797 0.96528863 -0.58047134], Predicted=0 X=[-0.06493106 0.41433932 -0.28255704 -1.06307253 0.14774708 -0.78257989 -0.59680945 -0.38031695 0.34263866 1.05292016 -0.2553989 ], Predicted=0 X=[-0.89452915 -0.37943543 -0.69575474 -0.94476527 -0.08113052 -0.6649702 -0.54974368 -0.64447785 1.33611362 0.87765711 0.31347789], Predicted=0 X=[ 2.90610974e-01 5.13561164e-01 -1.27423152e+00 -1.80250700e-02 2.20764547e+00 -4.88555658e-01 6.50433492e-01 2.38287682e-01 -1.90923792e+00 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-1.96115527 0.21589563 0.04800112 -0.96448315 -0.35578364 -1.01779928 -0.99686851 -1.54061862 2.4620519 -0.08628968 2.02010823], Predicted=1 X=[-2.3166973 1.90266698 -1.35687106 -0.88561164 -0.4931102 1.45200427 0.22684155 -1.46705482 0.54133365 -1.22549952 0.80108656], Predicted=0 X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=0 X=[-0.53898711 -0.67710097 0.04800112 1.9044679 -0.2642326 1.21678489 0.08564423 0.92042469 -0.51837298 -0.96260494 0.06967355], Predicted=0 X=[-0.53898711 -0.28021359 1.94871055 -1.06307253 0.74282884 -0.84138474 -0.38501348 -0.5508512 -1.24692128 -0.78734189 -0.82427568], Predicted=0 X=[ 2.77940524 -1.37165388 0.29591974 -1.04335466 -0.53888572 0.04068796 -1.27926314 -0.8919197 -0.91576296 0.527131 0.88235467], Predicted=1 X=[-1.01304317 0.31511748 -0.11727796 0.19887157 5.91546259 0.68754127 0.48570329 0.39210289 0.01148034 0.08897337 -0.90554379], Predicted=0 X=[-0.06493106 -0.47865728 -0.28255704 0.11014113 -0.08113052 0.39351704 0.95636101 0.19147436 0.40887032 0.61476253 0.06967355], Predicted=0 X=[ 0.527639 0.21589563 -0.03463842 -0.80674014 -0.12690604 -0.42975081 -0.31441482 -1.06579776 1.0049553 -0.43681578 1.69503579], Predicted=0 X=[-0.18344508 -0.37943543 0.2132802 0.39605034 -0.17268156 0.39351704 -0.3614806 0.23494387 1.0049553 0.26423642 0.31347789], Predicted=0 X=[ 0.88318104 0.21589563 0.37855928 -0.84617589 -0.12690604 -1.48823805 -0.94980274 -0.35691029 -0.12098299 1.40344626 0.394746 ], Predicted=0 X=[ 1.35723709 0.61278301 1.28759423 0.5143576 -0.58466124 0.2171025 0.97989389 -0.14290653 -0.38590965 -0.96260494 1.45123145], Predicted=0 X=[ 1.35723709 0.21589563 -0.44783612 -0.13633233 -0.08113052 -0.25333627 -0.33794771 0.25835054 -0.18721466 0.1766049 -0.2553989 ], Predicted=0 X=[ 1.59426511 0.01745194 0.70911744 -0.90532952 -0.67621228 -0.31214112 -1.06746717 -0.7782302 -0.6508363 -0.87497341 0.71981845], Predicted=0 X=[-1.01304317 -0.18099175 -0.77839428 -1.0039189 0.33084916 1.80483335 0.27390732 -0.54416359 0.14394366 1.14055168 -0.09286267], Predicted=0 X=[-0.30195909 0.41433932 0.2132802 0.31717883 0.05619604 1.27558973 0.69749926 0.29178862 -0.25344632 -0.26155273 -0.74300757], Predicted=0 X=[-0.06493106 -1.66931941 0.70911744 -1.04335466 -0.17268156 0.92276066 -0.14968462 -1.14939299 -0.05475133 2.19213 0.63855033], Predicted=1 X=[ 1.12020906 -0.28021359 0.04800112 1.4410978 -0.08113052 1.80483335 1.07402544 1.91687972 0.21017533 2.27976152 -1.31188435], Predicted=0 X=[ 1.00169505 0.01745194 -0.77839428 -0.78702226 -0.08113052 -0.37094597 0.43863752 -0.30340935 0.54133365 0.61476253 0.06967355], Predicted=0 X=[-1.13155718 0.61278301 -0.1999175 -0.86589377 -0.7219878 0.15829765 0.08564423 -1.70780906 1.40234528 -0.69971036 1.93884012], Predicted=1 X=[ 0.88318104 1.10889223 -0.11727796 -0.55040774 -0.4931102 -0.78257989 -1.06746717 -0.86516923 -0.71706797 0.96528863 1.61376767], Predicted=0 X=[ 0.40912499 0.11667379 0.54383836 0.23830733 -0.99664092 1.21678489 0.90929523 -0.41041123 -0.98199462 -1.48839409 0.80108656], Predicted=0 X=[-0.4204731 0.01745194 0.13064066 0.67210061 0.97170644 1.51080912 0.97989389 1.06086466 -0.25344632 0.70239405 -1.23061624], Predicted=0 X=[ 0.88318104 -0.87554465 0.6264779 -1.04335466 -0.2642326 0.15829765 0.10917712 -1.11261109 -1.77677459 -0.61207884 0.71981845], Predicted=0 X=[ 0.64615301 -0.77632281 0.29591974 2.08192879 0.10197156 0.45232188 1.21522275 1.82994069 -1.04822629 -0.61207884 -1.06808001], Predicted=0 X=[-0.30195909 0.01745194 0.70911744 0.35661459 -0.08113052 1.45200427 1.35642006 0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=0 X=[ 1.4757511 -0.57787912 -0.44783612 0.2580252 -0.12690604 1.27558973 0.88576235 0.45897907 -0.45214131 0.527131 -0.41793512], Predicted=0 X=[ 0.88318104 -0.47865728 0.04800112 -0.94476527 -0.12690604 -0.6649702 -0.22028328 -0.32681601 -0.45214131 1.84160389 -0.09286267], Predicted=0 X=[ 0.29061097 -0.47865728 0.46119882 -0.94476527 -0.63043676 -1.37062835 -1.72638797 -1.41355388 0.40887032 -0.78734189 1.7763039 ], Predicted=1 X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233 3.53513555 -0.48855566 -0.80860543 0.45897907 -0.98199462 0.43949948 -0.90554379], Predicted=0 X=[ 0.05358295 -0.87554465 -0.11727796 0.29746096 -0.17268156 -0.31214112 -0.1967504 0.17809912 1.40234528 -0.87497341 -0.01159456], Predicted=0 X=[-1.48709922 1.10889223 -0.77839428 -0.3335111 -0.53888572 -0.48855566 -1.44399334 -1.14604918 0.60756531 -1.13786799 1.7763039 ], Predicted=0 X=[-0.53898711 0.11667379 -0.28255704 0.02141068 7.47183026 1.56961397 0.41510463 0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=0 X=[-0.53898711 0.71200485 0.13064066 -0.15605021 -0.53888572 -1.54704289 0.22684155 0.12794199 -0.12098299 0.08897337 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1.09917519 -0.05555308 0.37872765 -1.84300626 -0.52444731 0.06967355], Predicted=0 X=[ 0.64615301 -1.37165388 -0.28255704 -1.0039189 -0.58466124 -0.60616535 -1.11453294 -0.45053694 2.26335691 -0.87497341 0.06967355], Predicted=0 X=[-1.48709922 -0.0817699 0.29591974 -1.08279041 -0.9508654 -1.4294332 -2.10291414 -1.86496808 0.67379698 -1.40076257 2.10137634], Predicted=1 X=[ 0.527639 -0.87554465 2.85774549 -0.96448315 0.1935226 -0.25333627 0.41510463 0.19147436 0.87249197 1.31581474 -0.90554379], Predicted=0 X=[ 1.35723709 1.50577961 0.54383836 1.18476541 5.59503395 -0.37094597 1.21522275 1.69618834 -0.78329963 1.31581474 -1.06808001], Predicted=0 X=[-0.53898711 -0.67710097 -1.0263129 -0.25463959 2.34497203 -0.84138474 -0.78507254 -0.04259226 -0.78329963 -0.26155273 -0.74300757], Predicted=0 X=[ 2.06832116 -0.9747665 0.54383836 -1.04335466 -0.2642326 -0.90018958 -0.73800677 -0.57760167 -1.64431127 -1.48839409 -0.2553989 ], Predicted=0 X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[-0.4204731 0.51356116 -0.11727796 -1.06307253 -0.21845708 0.2171025 -0.43207925 -1.33330247 -0.8495313 -1.05023647 1.36996334], Predicted=0 X=[-0.77601514 -0.77632281 -0.36519658 1.06645815 -0.4931102 -0.84138474 -1.06746717 -0.12953129 -0.05475133 -1.31313104 1.126159 ], Predicted=1 X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=0 X=[-0.89452915 0.01745194 -0.86103382 -0.43210048 -0.35578364 -1.31182351 -1.0204014 -1.68774621 -1.44561627 1.84160389 2.10137634], Predicted=1 X=[-0.30195909 -0.37943543 -0.94367336 1.16504753 0.23929812 -0.01811689 0.17977578 0.91373707 -0.58460464 1.57870931 -0.90554379], Predicted=0 X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351 -1.86758528 -1.43027293 0.74002864 3.06844526 1.126159 ], Predicted=1 X=[-0.18344508 -0.18099175 1.28759423 0.33689671 0.28507364 0.74634612 1.37995295 0.51916762 0.01148034 -0.08628968 -0.82427568], Predicted=0 X=[-0.30195909 -0.67710097 2.19662917 -1.04335466 4.08444179 1.51080912 0.13271 -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=0 X=[-0.53898711 -0.28021359 -0.11727796 -0.17576808 0.14774708 0.33471219 0.88576235 0.32522671 0.01148034 1.66634084 -1.06808001], Predicted=0 X=[ 1.4757511 0.01745194 0.46119882 -0.88561164 -0.76776332 -1.01779928 -1.39692757 -0.57760167 0.27640699 0.26423642 1.04489089], Predicted=0 X=[-0.65750113 0.61278301 -1.19159198 -0.11661445 -0.21845708 -0.78257989 0.15624289 0.09116009 -0.25344632 1.22818321 -0.49920323], Predicted=0 X=[-1.13155718 0.91044854 -0.28255704 -0.96448315 -0.58466124 -0.01811689 -1.0204014 -1.39349103 1.13741862 0.61476253 1.20742712], Predicted=0 X=[ 0.29061097 0.01745194 -0.1999175 -0.96448315 0.33084916 -0.90018958 -0.94980274 -1.1159549 -0.25344632 0.08897337 0.71981845], Predicted=0 X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473 6.32744226 -0.01811689 0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=0 X=[-1.25007119 -0.18099175 -0.36519658 -1.06307253 -0.17268156 -0.01811689 -0.87920408 -1.19955012 1.13741862 -0.08628968 0.71981845], Predicted=0 X=[ 0.17209696 2.00188883 -1.77006876 -0.37294685 0.1935226 -0.72377504 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=0 X=[-0.65750113 -0.57787912 -0.44783612 -0.78702226 -0.17268156 0.15829765 -0.8556712 -1.35336532 -0.31967798 -1.05023647 0.88235467], Predicted=0 X=[-1.13155718 0.21589563 -0.28255704 -0.86589377 -0.7219878 0.15829765 0.08564423 -1.70780906 1.46857694 -0.69971036 1.93884012], Predicted=1 X=[-0.18344508 0.51356116 0.70911744 0.00169281 0.55972676 -0.48855566 0.29744021 0.45897907 -0.18721466 -0.43681578 -0.74300757], Predicted=0 X=[-0.30195909 -1.07398834 0.13064066 -0.74758651 -0.7219878 -0.13572658 -1.42046046 -0.85848162 0.21017533 2.01686694 0.63855033], Predicted=1 X=[-0.06493106 0.21589563 -0.53047566 1.02702239 -0.81353884 -0.78257989 -0.97333563 -0.29672173 -1.51184794 -0.96260494 0.96362278], Predicted=0 X=[-0.30195909 0.01745194 -0.28255704 0.27774308 0.14774708 1.27558973 1.49761738 0.59273142 0.34263866 -0.87497341 -0.82427568], Predicted=0 X=[ 0.64615301 -0.28021359 0.29591974 0.10028219 -1.179743 -1.25301866 -1.06746717 -0.04259226 -1.24692128 -0.08628968 0.15094166], Predicted=0 X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=0 X=[-0.30195909 -0.9747665 -0.44783612 -0.60956137 -0.08113052 -1.01779928 -1.11453294 -0.34353506 1.53480861 1.31581474 0.23220977], Predicted=0 X=[ 0.527639 1.50577961 0.29591974 -0.35322897 -0.81353884 -1.07660412 -0.57327657 -1.01229682 0.27640699 -0.52444731 2.18264446], Predicted=0 X=[ 0.64615301 -0.9747665 0.04800112 -0.72786863 -0.7219878 -0.31214112 -0.73800677 -0.67791594 -1.44561627 0.35186795 0.394746 ], Predicted=0 X=[-6.57501128e-01 2.15895632e-01 4.75845492e+00 3.56614587e-01 -5.38885719e-01 8.63955809e-01 1.42701872e+00 -2.92170247e-02 1.33611362e+00 1.34184656e-03 9.63622781e-01], Predicted=0 X=[ 0.34986798 -1.07398834 -0.77839428 0.63266486 3.35203347 1.21678489 0.93282812 0.5860438 -0.25344632 -0.43681578 -0.2553989 ], Predicted=0 X=[ 0.40912499 -0.0817699 0.70911744 -0.94476527 0.1935226 -0.01811689 -0.07908597 -0.67791594 -1.64431127 -0.26155273 0.394746 ], Predicted=0 X=[ 0.64615301 -0.77632281 -0.1999175 -0.94476527 -0.35578364 -0.07692173 -0.5262108 -0.94542065 0.40887032 -0.87497341 1.20742712], Predicted=0 X=[ 1.94980715 -1.07398834 -0.1999175 -1.06307253 -0.99664092 -1.31182351 -1.11453294 -0.34353506 -2.63778623 -1.05023647 -0.33666701], Predicted=0 X=[ 5.27638999e-01 8.11226697e-01 1.70079193e+00 1.36222630e+00 3.76624679e-01 1.62841881e+00 1.28582141e+00 1.54237313e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=0 X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474 -0.35578364 0.33471219 0.27390732 -0.24322079 1.99843026 1.92923542 -0.01159456], Predicted=0 X=[ 1.12020906 -0.67710097 1.28759423 -0.99405996 0.28507364 -1.72345743 -2.12644703 -0.97885873 -0.25344632 -1.8389202 0.71981845], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=0 X=[ 2.06832116 -0.47865728 -0.69575474 0.96786876 -0.67621228 -1.31182351 -0.99686851 0.81007899 -0.51837298 -0.78734189 0.23220977], Predicted=0 X=[ 0.05358295 0.01745194 -0.44783612 1.14532965 -0.17268156 0.9815655 0.01504558 0.39879051 -1.04822629 0.61476253 -0.09286267], Predicted=0 X=[-0.06493106 -0.57787912 -0.11727796 -0.09689658 0.37662468 0.27590734 0.32097309 -0.07603035 0.077712 0.70239405 0.23220977], Predicted=0 X=[ 0.05358295 -0.57787912 -0.1999175 -0.01802507 -0.76776332 0.33471219 -0.17321751 -0.25659603 -0.71706797 0.00134185 0.23220977], Predicted=0 X=[-0.89452915 0.41433932 -0.77839428 -0.96448315 -0.44733468 0.15829765 -0.33794771 -1.41355388 0.67379698 -0.61207884 1.53249956], Predicted=0 X=[ 0.05358295 -0.47865728 0.6264779 0.31717883 -0.7219878 -0.31214112 -0.57327657 -0.11615605 0.21017533 0.43949948 0.394746 ], Predicted=0 X=[ 0.05358295 -0.37943543 0.04800112 -0.3335111 -0.2642326 0.45232188 0.53276906 -0.17634461 0.077712 0.87765711 0.06967355], Predicted=0 X=[ 1.4757511 1.80344514 -0.1999175 -0.9250474 0.28507364 0.86395581 1.05049255 -0.57760167 -1.04822629 -0.61207884 0.55728222], Predicted=0 X=[-0.65750113 1.10889223 0.13064066 -0.09689658 -0.2642326 2.77511332 2.86252475 0.02428392 -0.45214131 1.49107779 -0.33666701], Predicted=0 X=[-1.72412724 2.49799805 -1.4395106 -0.72786863 -0.44733468 -0.07692173 -0.24381617 -1.82818618 0.077712 0.35186795 2.18264446], Predicted=0 X=[-0.77601514 0.11667379 -0.36519658 -0.15605021 0.01042052 -0.01811689 0.93282812 -0.30006554 0.40887032 0.1766049 0.01549481], Predicted=0 X=[-6.49310643e-02 -6.77100966e-01 2.36190825e+00 1.69280668e-03 -2.18457080e-01 -1.66465259e+00 -5.96809454e-01 -1.49594143e-01 -1.51184794e+00 8.77657106e-01 -2.55398896e-01], Predicted=0 X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=0 X=[-0.18344508 -1.66931941 0.04800112 0.47492185 -0.12690604 0.33471219 -0.59680945 0.72648377 1.53480861 -0.78734189 -0.9868119 ], Predicted=0 X=[ 1.47575110e+00 -3.79435433e-01 -6.13115201e-01 9.08715133e-01 -1.26906040e-01 3.34712191e-01 1.70941335e+00 9.13737068e-01 -5.18372977e-01 1.34184656e-03 -4.17935119e-01], Predicted=0 X=[ 1.4757511 -0.37943543 -0.03463842 0.75097212 0.10197156 0.62873642 0.06211135 1.06086466 -0.18721466 -0.08628968 -0.17413078], Predicted=0 X=[-0.30195909 1.30733592 -0.1999175 -0.94476527 -0.17268156 -1.01779928 -0.87920408 -0.69463498 -0.38590965 -0.69971036 -0.01159456], Predicted=0 X=[-0.65750113 3.88710387 1.20495468 1.22420116 0.28507364 1.27558973 1.96827509 1.29493128 -0.12098299 0.26423642 -0.9868119 ], Predicted=0 X=[-0.53898711 0.21589563 0.2132802 -0.86589377 0.28507364 -1.01779928 0.06211135 -0.43381789 1.26988195 0.35186795 -0.01159456], Predicted=0 X=[-0.77601514 0.21589563 -0.1999175 -0.94476527 -0.4931102 0.27590734 -0.76153965 -1.63424527 0.47510198 -0.87497341 1.93884012], Predicted=1 X=[ 1.59426511 -0.67710097 -0.11727796 0.83970256 0.33084916 1.04037035 0.15624289 1.06086466 -0.12098299 -0.08628968 -0.2553989 ], Predicted=0 X=[ 0.88318104 -0.77632281 2.85774549 1.28335479 -0.17268156 1.21678489 0.50923618 1.46546553 -0.91576296 -0.69971036 -1.47442057], Predicted=0 X=[ 1.4757511 -1.57009756 0.37855928 -1.08279041 -0.53888572 0.04068796 -1.23219737 -1.25973868 -2.57155456 0.527131 1.20742712], Predicted=0 X=[-0.30195909 -0.28021359 0.46119882 -0.97434209 -0.2642326 0.27590734 -1.16159871 -0.97885873 1.07118696 -0.78734189 0.71981845], Predicted=0 X=[-0.18344508 -0.37943543 0.29591974 0.96786876 -0.12690604 1.68722366 0.81516369 0.76660948 -0.71706797 0.35186795 -0.49920323], Predicted=0 X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=0 X=[-6.57501128e-01 -1.76854125e+00 -7.78394281e-01 -7.71787000e-02 -3.10008120e-01 -6.06165351e-01 -7.38006768e-01 3.62008609e-01 2.66074690e+00 1.34184656e-03 -1.15945603e-02], Predicted=0 X=[ 1.12020906 0.41433932 -0.1999175 -0.9250474 -0.44733468 0.62873642 1.33288718 -0.34353506 -1.04822629 -0.08628968 -0.01159456], Predicted=0 X=[-1.96115527 1.60500145 -2.43118509 -0.98420103 -0.44733468 0.45232188 -0.45561214 -1.54730624 1.13741862 -1.40076257 1.28869523], Predicted=0 X=[-0.30195909 0.41433932 -0.77839428 -1.0039189 0.6512778 0.42291946 1.54468315 0.36535242 2.6607469 0.1766049 -1.06808001], Predicted=0 X=[-0.53898711 1.00967039 -0.77839428 0.15943582 0.05619604 0.33471219 0.29744021 0.67298283 -0.51837298 0.96528863 -1.06808001], Predicted=0 X=[-1.13155718 3.7382711 -2.76174325 -0.15605021 -0.58466124 -1.60584774 -2.52650609 -0.14290653 0.87249197 0.1766049 -0.01159456], Predicted=0 X=[ 0.76466702 0.01745194 3.68414089 1.12561178 -0.21845708 1.04037035 0.53276906 1.4554341 -1.37938461 -0.43681578 -1.47442057], Predicted=0 X=[ 0.05358295 2.79566358 -0.6131152 0.88899726 0.6512778 1.15798004 1.28582141 0.96055039 0.14394366 -0.43681578 -0.90554379], Predicted=0 X=[ 1.4757511 0.21589563 1.28759423 1.16504753 0.14774708 0.86395581 0.13271 1.02742657 -0.6508363 0.70239405 -0.2553989 ], Predicted=0 X=[-1.01304317 1.00967039 -0.6131152 -0.57012562 -0.4931102 0.15829765 -0.64387523 -1.77468524 -0.05475133 -0.17392121 2.5077169 ], Predicted=1 X=[ 1.23872307 0.31511748 -0.94367336 1.3622263 0.10197156 0.62873642 1.73294624 1.80319022 1.86596693 0.87765711 -0.41793512], Predicted=0 X=[ 1.23872307 -0.67710097 0.54383836 -1.02363678 -0.31000812 0.15829765 -0.73800677 -0.67791594 0.14394366 0.43949948 0.23220977], Predicted=0 X=[-0.18344508 -1.07398834 -0.53047566 -0.98420103 -0.63043676 0.2171025 0.25037443 -0.49735026 1.40234528 0.26423642 -0.01159456], Predicted=0 X=[-0.30195909 6.21881721 -1.19159198 -1.10250829 0.10197156 -1.07660412 1.54468315 -0.2097827 1.0049553 0.61476253 -0.41793512], Predicted=0 X=[-0.06493106 -0.18099175 -0.94367336 -0.31379322 -0.21845708 4.39224659 1.40348584 0.11456676 0.67379698 1.57870931 0.06967355], Predicted=0 X=[-0.53898711 -0.57787912 0.04800112 -0.98420103 -1.04241644 1.21678489 -0.54974368 -1.48711768 -0.05475133 1.84160389 0.96362278], Predicted=1 X=[ 4.55711543 -0.57787912 1.86607101 0.35661459 -0.08113052 0.09949281 1.00342678 1.32836936 -2.10793291 1.66634084 -0.82427568], Predicted=0 X=[-0.18344508 0.71200485 1.20495468 0.47492185 0.46817572 -0.01811689 0.67396638 0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=0 X=[-0.77601514 0.41433932 -0.77839428 -0.45181836 0.23929812 -0.07692173 0.25037443 -0.3234722 1.13741862 0.26423642 0.394746 ], Predicted=0 X=[-0.06493106 0.41433932 -0.86103382 -0.60956137 -0.90508988 -0.25333627 -0.92626985 -1.48043006 -0.58460464 -0.78734189 1.53249956], Predicted=1 X=[-0.65750113 -0.0817699 0.37855928 -1.08279041 0.23929812 -1.66465259 0.03857846 -0.47728741 1.7335036 0.08897337 -0.01159456], Predicted=0 X=[-0.65750113 0.51356116 -1.10895244 -0.11661445 -0.2642326 -0.6649702 0.13271 0.07444105 -0.25344632 1.22818321 -0.49920323], Predicted=0 X=[-0.65750113 0.21589563 -0.44783612 -0.27435747 -0.17268156 0.04068796 0.69749926 0.34194576 0.21017533 1.75397237 -0.82427568], Predicted=0 X=[-1.01304317 -0.47865728 0.04800112 -1.0039189 -0.9508654 -0.72377504 -0.64387523 -1.47708625 1.13741862 -1.05023647 1.7763039 ], Predicted=1 X=[-0.89452915 -0.0817699 -0.44783612 0.67210061 -0.17268156 1.51080912 -0.31441482 0.43222859 -0.31967798 -0.61207884 -0.2553989 ], Predicted=0 X=[-0.4204731 -0.18099175 0.04800112 -0.98420103 -0.2642326 -0.60616535 1.07402544 -0.624415 0.67379698 -0.26155273 0.15094166], Predicted=0 X=[-0.06493106 0.11667379 -1.4395106 -0.98420103 -0.35578364 5.12730717 2.26243617 -0.61103976 -0.25344632 -0.17392121 -0.41793512], Predicted=0 X=[ 0.05358295 -0.18099175 1.28759423 -0.94476527 0.55972676 0.2171025 0.65043349 0.82679804 3.05813688 0.26423642 -0.90554379], Predicted=0 X=[-0.06493106 1.20811407 -0.36519658 -0.70815075 -0.08113052 -0.48855566 -0.97333563 -1.21292535 -0.45214131 -0.61207884 0.55728222], Predicted=0 X=[ 0.40912499 -0.67710097 0.04800112 -1.04335466 0.01042052 -0.60616535 -1.37339468 -0.67791594 0.40887032 -0.78734189 0.63855033], Predicted=0 X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=0 X=[-0.18344508 0.91044854 0.6264779 -0.01802507 0.69705332 -0.78257989 0.25037443 0.42554098 -0.18721466 -0.17392121 -0.74300757], Predicted=0 X=[ 0.29061097 -0.18099175 -1.19159198 0.35661459 0.23929812 1.04037035 1.14462409 0.6596076 -0.18721466 0.26423642 -0.66173945], Predicted=0 X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.35578364 0.15829765 0.67396638 -0.04259226 -0.91576296 -1.05023647 -0.33666701], Predicted=0 X=[ 0.76466702 -0.9747665 3.18830365 0.63266486 -0.31000812 1.04037035 0.29744021 1.33505698 -1.04822629 -0.26155273 -1.31188435], Predicted=0 X=[-0.65750113 0.61278301 -0.1999175 -0.0771787 -1.179743 -1.01779928 -1.65578931 -1.41021007 0.21017533 -1.75128867 2.34518068], Predicted=1 X=[-0.77601514 0.21589563 -0.6131152 1.38194417 0.01042052 1.27558973 1.59174892 1.24477414 -0.12098299 -0.52444731 -0.82427568], Predicted=0 X=[-1.25007119 -0.47865728 -0.53047566 -0.90532952 -0.12690604 -0.6649702 -1.63225643 -0.24322079 1.26988195 -1.57602562 -0.90554379], Predicted=0 X=[-1.13155718 -0.9747665 -0.44783612 -0.25463959 -0.31000812 0.86395581 0.01504558 -0.79494925 -0.18721466 -0.43681578 0.63855033], Predicted=0 X=[ 0.29061097 -0.37943543 0.6264779 2.24953075 0.01042052 0.2171025 0.15624289 1.93025495 0.87249197 -0.87497341 -1.47442057], Predicted=0 X=[-1.3685852 -0.57787912 -0.03463842 -0.88561164 -0.44733468 0.09949281 -0.66740811 -1.53058719 0.47510198 0.79002558 1.53249956], Predicted=1 X=[-0.65750113 0.11667379 -0.44783612 -0.3335111 0.60550228 -0.42975081 -1.3498618 -1.22630059 0.34263866 0.61476253 1.7763039 ], Predicted=1 X=[-0.30195909 0.61278301 -1.10895244 -1.06307253 0.33084916 -0.5473605 -0.62034234 -0.22315794 0.87249197 0.527131 -1.14934812], Predicted=0 X=[-0.89452915 3.19255096 -1.77006876 -0.90532952 0.1935226 -1.4294332 -1.46752623 -0.45053694 1.53480861 -0.08628968 -0.09286267], Predicted=0 X=[-0.06493106 -0.47865728 0.46119882 1.91432684 0.33084916 2.09885758 1.30935429 1.59587407 -0.05475133 1.31581474 -0.2553989 ], Predicted=0 X=[-0.18344508 3.78788202 -2.76174325 1.30307267 -0.58466124 -0.19453143 -1.49105911 0.49576096 -0.25344632 0.08897337 0.15094166], Predicted=0 X=[-0.77601514 -0.9747665 -0.28255704 -1.06307253 -0.67621228 -0.72377504 -1.53812488 -1.23967582 0.27640699 0.26423642 0.63855033], Predicted=0 X=[-0.18344508 -1.27243203 0.37855928 -0.9250474 -0.40155916 -0.90018958 -1.27926314 -1.1928625 -0.6508363 0.35186795 0.71981845], Predicted=0 X=[-0.18344508 0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112 -1.30279603 -1.79140428 -0.6508363 -1.13786799 1.85757201], Predicted=1 X=[-0.18344508 1.30733592 0.04800112 0.55379335 0.14774708 -0.37094597 0.27390732 0.9271123 0.21017533 0.1766049 -1.14934812], Predicted=0 X=[-0.53898711 0.11667379 -0.28255704 -0.68843288 -0.44733468 -0.60616535 -1.39692757 -1.22295678 0.67379698 0.96528863 1.53249956], Predicted=1 X=[-0.53898711 -0.28021359 1.61815239 0.04112856 -0.35578364 1.39319943 2.25066972 0.49241715 -1.04822629 -0.61207884 -1.39315246], Predicted=0 X=[ 0.17209696 0.31511748 -0.36519658 -0.98420103 -0.40155916 -0.13572658 -0.24381617 -1.48043006 -0.45214131 -1.13786799 1.36996334], Predicted=0 X=[-0.89452915 -0.57787912 0.54383836 -0.89547058 -0.67621228 -0.60616535 -0.64387523 -1.46036721 -1.04822629 -1.66365715 1.04489089], Predicted=0 X=[-0.65750113 1.30733592 -0.28255704 -0.62927925 -0.7219878 0.80515096 0.60336772 -0.44384932 2.26335691 2.63028763 0.96362278], Predicted=0 X=[-0.53898711 -0.37943543 -0.69575474 2.72275979 1.70411476 -0.01811689 0.43863752 1.91687972 -0.12098299 0.08897337 -1.14934812], Predicted=0 X=[-0.18344508 -0.77632281 -0.28255704 -0.98420103 -0.9508654 -1.07660412 -1.46752623 -0.99892159 -0.51837298 -0.43681578 0.394746 ], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=0 X=[-0.77601514 0.91044854 -0.28255704 0.04112856 13.74307649 2.56929635 1.45055161 0.45897907 0.67379698 0.79002558 -0.74300757], Predicted=0 X=[-0.89452915 -0.37943543 -0.6131152 -0.9250474 -0.58466124 1.51080912 -0.10261885 -1.24636344 0.01148034 2.80555068 1.126159 ], Predicted=1 X=[ 1.12020906 -0.18099175 -0.53047566 -0.88561164 0.23929812 0.9815655 1.33288718 -0.41041123 0.27640699 0.08897337 0.31347789], Predicted=0 X=[ 0.76466702 0.61278301 0.13064066 -0.0771787 -0.53888572 -1.37062835 -0.29088194 -0.54416359 -0.18721466 -0.87497341 1.20742712], Predicted=0 X=[-1.48709922 0.01745194 0.54383836 -0.05746082 -0.53888572 0.04068796 -0.47914502 -0.86516923 0.14394366 -0.52444731 1.28869523], Predicted=0 X=[ 0.40912499 -0.47865728 -0.11727796 0.41576822 0.55972676 0.68754127 1.12109121 0.52585524 0.01148034 -0.78734189 -0.49920323], Predicted=0 X=[ 1.35723709e+00 8.11226697e-01 4.61198823e-01 -9.44765273e-01 -9.96640918e-01 -5.47360505e-01 -1.06746717e+00 -9.58795882e-01 -2.53446321e-01 1.34184656e-03 1.12615900e+00], Predicted=0 X=[ 0.88318104 0.66239393 -0.6131152 -0.88561164 -0.12690604 -1.19421382 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=0 X=[ 1.23872307 -0.87554465 -0.6131152 -0.84617589 -0.31000812 -1.60584774 0.10917712 0.05772201 -0.91576296 2.19213 -0.58047134], Predicted=0 X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=0 X=[-2.19818329 0.51356116 -1.4395106 -0.96448315 0.14774708 -1.48823805 -0.97333563 -0.7782302 1.93219859 -0.43681578 0.15094166], Predicted=0 X=[ 0.76466702 -1.37165388 0.04800112 -1.0039189 0.4224002 0.86395581 0.34450598 0.15803627 0.67379698 2.71791915 -0.74300757], Predicted=0 X=[-0.65750113 0.61278301 0.2132802 -0.29407534 -0.4931102 -0.25333627 1.09755832 0.19147436 -0.25344632 0.00134185 -0.66173945], Predicted=0 X=[-0.53898711 0.51356116 -0.77839428 -0.94476527 0.37662468 -0.60616535 -0.50267791 0.09116009 1.13741862 0.08897337 -0.9868119 ], Predicted=0 X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=0 X=[-0.06493106 0.01745194 0.79175698 0.23830733 -0.7219878 -0.31214112 -0.66740811 -0.79829306 -0.71706797 0.87765711 1.61376767], Predicted=1 X=[-0.4204731 1.10889223 0.13064066 -0.94476527 0.14774708 -1.48823805 0.60336772 0.37872765 1.07118696 0.1766049 -0.66173945], Predicted=0 X=[-0.89452915 0.61278301 1.0396756 -0.3335111 -0.76776332 -0.84138474 -1.04393428 -1.01229682 0.67379698 1.14055168 1.45123145], Predicted=1 X=[-0.89452915 -0.57787912 -0.69575474 1.12561178 -0.4931102 1.09917519 -0.07908597 0.26169434 0.14394366 -0.78734189 0.15094166], Predicted=0 X=[ 2.77940524e+00 -9.74766499e-01 1.28759423e+00 -9.64483150e-01 -2.18457080e-01 2.17102498e-01 -1.96750396e-01 1.58036270e-01 -9.81994625e-01 1.34184656e-03 -5.80471343e-01], Predicted=0 X=[ 2.18683518 -0.57787912 0.70911744 -0.80674014 0.33084916 -0.48855566 -0.57327657 -0.00915417 -1.31315295 -0.52444731 -0.41793512], Predicted=0 X=[ 0.17209696 -1.57009756 -0.44783612 -0.01802507 0.51395124 -1.07660412 -0.83213831 0.55929333 2.06466192 -0.43681578 -0.74300757], Predicted=0 X=[-0.53898711 -0.28021359 -0.03463842 -0.9250474 -0.40155916 -0.01811689 -0.59680945 -0.79829306 0.27640699 1.49107779 0.06967355], Predicted=0 X=[ 1.83129314 -0.0817699 1.0396756 0.45520397 0.10197156 0.2171025 1.37995295 1.12774083 -0.31967798 0.87765711 -0.74300757], Predicted=0 X=[ 0.40912499 -0.67710097 -0.36519658 -0.64899712 -0.08113052 0.2171025 -0.38501348 -0.86851304 -1.24692128 0.96528863 0.63855033], Predicted=0 X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=0 X=[ 0.40912499 -1.07398834 0.04800112 0.00169281 -0.17268156 -1.13540897 -0.64387523 -0.41709885 -1.31315295 -0.78734189 0.23220977], Predicted=0 X=[-1.83445077e-01 1.50577961e+00 -8.61033822e-01 -2.74357467e-01 5.09150323e+00 8.05150962e-01 1.56242891e-01 2.28256256e-01 -1.20982993e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[-0.65750113 0.8112267 -0.28255704 -0.31379322 0.14774708 -1.25301866 -1.25573025 -0.27665888 0.60756531 -0.87497341 0.06967355], Predicted=0 X=[ 0.29061097 -0.0817699 -0.44783612 -1.01377784 -1.04241644 -1.89987197 -1.16159871 -1.37008437 -1.5780796 -1.66365715 0.71981845], Predicted=0 X=[-1.01304317 -1.37165388 0.29591974 -1.02363678 -0.63043676 1.62841881 0.22684155 -0.72807307 0.87249197 -0.43681578 0.55728222], Predicted=0 X=[-1.60561323 -1.17321019 -0.6131152 -0.96448315 -0.63043676 -0.01811689 -0.90273697 -1.09254824 1.60104027 2.45502457 1.20742712], Predicted=1 X=[ 1.4757511 -1.07398834 0.87439652 1.51996931 0.33084916 0.45232188 0.15624289 2.19775966 0.60756531 2.27976152 -1.39315246], Predicted=0 X=[-0.18344508 0.61278301 -0.1999175 1.97348047 0.23929812 -0.90018958 0.17977578 1.44205886 -0.8495313 0.43949948 -1.14934812], Predicted=0 X=[-0.53898711 -0.47865728 0.13064066 0.77069 -0.17268156 1.09917519 0.03857846 0.89367421 0.27640699 -0.17392121 -1.06808001], Predicted=0 X=[ 1.00169505 -0.0817699 1.28759423 -0.51097199 -0.40155916 0.62873642 0.01504558 -0.95879588 -0.98199462 -0.96260494 0.88235467], Predicted=0 X=[ 4.09124986e-01 1.20811407e+00 2.36190825e+00 8.69279380e-01 -2.18457080e-01 2.04005274e+00 1.19168986e+00 1.19461701e+00 -7.17067969e-01 1.34184656e-03 -1.55568868e+00], Predicted=0 X=[ 0.76466702 -0.87554465 0.04800112 -0.74758651 -0.40155916 -0.13572658 -0.31441482 -0.57760167 -0.58460464 0.00134185 0.47601411], Predicted=0 X=[ 1.23872307 -0.57787912 0.95703606 1.53968719 -0.35578364 1.04037035 0.06211135 1.72962642 -1.04822629 -0.26155273 -1.06808001], Predicted=0 X=[-0.77601514 0.51356116 -1.60478968 -0.31379322 0.28507364 -0.48855566 -0.24381617 0.24163149 0.14394366 -0.08628968 -0.90554379], Predicted=0 X=[ 0.64615301 0.21589563 -0.11727796 -0.9250474 -0.7219878 -0.72377504 -0.24381617 -0.37697314 -0.12098299 1.49107779 0.31347789], Predicted=0 X=[-0.77601514 -0.28021359 0.46119882 -1.0039189 0.23929812 0.39351704 -0.07908597 -1.14604918 0.27640699 -0.78734189 0.47601411], Predicted=0 X=[-0.89452915 0.91044854 -1.10895244 0.23830733 -0.67621228 0.80515096 0.74456503 0.51916762 0.21017533 -0.08628968 -0.82427568], Predicted=0 X=[-0.65750113 -0.87554465 -0.11727796 -0.70815075 0.01042052 -1.01779928 -1.37339468 -1.20289393 -1.77677459 -0.17392121 0.43538005], Predicted=0 X=[ 0.17209696 1.10889223 -1.0263129 0.8495615 2.39074755 -1.31182351 -1.11453294 0.8502047 -1.04822629 -0.17392121 -0.9868119 ], Predicted=0 X=[-0.53898711 0.11667379 -1.27423152 1.6974302 -0.2642326 -0.84138474 -0.5262108 1.1143656 -0.31967798 0.08897337 -1.06808001], Predicted=0 X=[-1.48709922 -0.67710097 -0.77839428 -0.39266473 -0.85931436 0.09949281 0.27390732 -1.01229682 0.74002864 -1.57602562 0.80108656], Predicted=0 X=[ 2.77940524 0.01745194 1.0396756 -0.62927925 0.55972676 0.2171025 -0.12615174 0.6596076 -0.31967798 0.79002558 -0.82427568], Predicted=0 X=[-0.89452915 -0.57787912 -0.86103382 -0.64899712 0.28507364 -1.19421382 -0.80860543 0.25835054 -0.31967798 -0.61207884 -1.47442057], Predicted=0 X=[-0.30195909 -0.57787912 -0.36519658 1.57912294 0.01042052 0.2171025 -0.47914502 1.44205886 -0.91576296 0.08897337 -1.14934812], Predicted=0 X=[-0.77601514 0.21589563 -0.11727796 -1.0039189 0.37662468 -0.48855566 1.05049255 -0.45722456 0.74002864 -0.52444731 -0.33666701], Predicted=0 X=[-0.06493106 0.61278301 -1.93534784 -0.98420103 0.14774708 -0.37094597 -0.47914502 -0.14290653 0.14394366 -0.69971036 -0.82427568], Predicted=0 X=[-0.77601514 0.51356116 -1.19159198 -0.15605021 -0.17268156 -0.78257989 0.10917712 0.07444105 -0.25344632 1.22818321 -0.49920323], Predicted=0 X=[ 0.40912499 1.80344514 2.60982687 0.79040787 0.1935226 2.39288182 1.26228852 1.19461701 -0.18721466 -0.61207884 -1.47442057], Predicted=0 X=[ 1.00169505 1.80344514 -1.27423152 -0.60956137 0.37662468 -1.01779928 0.10917712 -0.03590464 -0.45214131 0.1766049 0.23220977], Predicted=0 X=[ 1.12020906 -0.77632281 -0.44783612 0.75097212 0.37662468 2.51049151 1.12109121 0.99398848 -0.31967798 -0.26155273 -0.41793512], Predicted=0 X=[ 0.40912499 0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566 -1.20866448 -1.24636344 0.74002864 0.87765711 1.69503579], Predicted=1 X=[ 1.71277913 -1.17321019 1.20495468 -0.9250474 0.51395124 -0.25333627 -0.94980274 0.09116009 -0.25344632 -0.69971036 -0.17413078], Predicted=0 X=[ 0.88318104 0.31511748 -0.77839428 -0.90532952 -0.40155916 0.2171025 0.27390732 -0.91198256 -0.91576296 -0.43681578 1.04489089], Predicted=0 X=[-0.30195909 -0.9747665 -0.6131152 2.15094136 0.23929812 -1.07660412 0.25037443 1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=0 X=[ 0.88318104 -1.07398834 0.95703606 0.94815089 0.37662468 1.21678489 -0.0320202 0.99398848 -0.25344632 -0.17392121 -0.41793512], Predicted=0 X=[-0.06493106 0.51356116 0.87439652 0.12000007 0.1935226 -0.37094597 0.39157175 0.49241715 -0.31967798 -0.61207884 -0.82427568], Predicted=0 X=[-8.94529153e-01 -1.80991745e-01 -6.95754741e-01 -6.88432877e-01 5.61960394e-02 1.49183141e+01 7.09844419e+00 -2.96721732e-01 1.66727194e+00 1.31581474e+00 -1.15945603e-02], Predicted=1 X=[ 0.88318104 1.10889223 1.0396756 1.04674027 1.74989028 1.15798004 0.74456503 1.23808652 -1.84300626 0.1766049 -1.23061624], Predicted=0 X=[-0.18344508 -0.47865728 -0.1999175 -0.84617589 0.01042052 -0.31214112 -0.99686851 -0.47728741 0.93872363 1.31581474 0.15094166], Predicted=0 X=[-0.77601514 0.71200485 -1.10895244 2.30868438 1.06325748 -0.13572658 0.46217041 1.68950072 -0.25344632 0.08897337 -1.39315246], Predicted=0 X=[-3.01959090e-01 -1.80991745e-01 -3.65196580e-01 -9.84201026e-01 -3.10008120e-01 -1.31182351e+00 -1.67932220e+00 -8.45106381e-01 -9.15762961e-01 1.34184656e-03 3.13477887e-01], Predicted=0 X=[-1.13155718 0.71200485 1.12231514 -0.82645801 2.94005379 -1.25301866 -0.00848731 -0.27665888 -0.6508363 0.08897337 -1.14934812], Predicted=0 X=[ 0.40912499 -0.0817699 0.29591974 -0.19548596 -0.90508988 -0.48855566 -0.57327657 -0.76485497 -0.38590965 3.06844526 1.7763039 ], Predicted=1 X=[ 0.527639 0.31511748 2.94038503 0.75097212 -0.21845708 1.33439458 0.50923618 1.2280551 -0.8495313 -0.34918426 -1.55568868], Predicted=0 X=[ 0.527639 2.29955436 -0.6131152 -0.60956137 2.02454339 -1.66465259 -0.07908597 0.12459818 -1.18068962 0.26423642 -1.39315246], Predicted=0 X=[ 0.40912499 -0.0817699 -0.1999175 -1.02363678 -0.67621228 -0.48855566 -1.37339468 -1.70780906 -1.04822629 -1.40076257 1.7763039 ], Predicted=0 X=[-0.18344508 0.31511748 -2.01798739 -0.98420103 -0.31000812 1.04037035 0.06211135 -0.65785309 -0.45214131 -0.43681578 -0.33666701], Predicted=0 X=[-1.3685852 -0.77632281 -0.77839428 1.46081568 0.05619604 0.51112673 -0.62034234 1.45209029 -1.44561627 1.49107779 -1.39315246], Predicted=0 X=[ 0.40912499 1.20811407 1.28759423 -1.04335466 0.10197156 -1.4294332 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=0 X=[ 1.12020906 -0.0817699 0.13064066 -1.02363678 0.1935226 0.04068796 0.03857846 -0.88523209 -0.6508363 -0.34918426 0.55728222], Predicted=0 X=[-0.77601514 0.21589563 -0.03463842 -0.57012562 -0.40155916 0.09949281 0.39157175 -1.39014722 -0.05475133 -1.05023647 1.53249956], Predicted=0 X=[-0.30195909 -1.17321019 0.13064066 -0.90532952 -0.17268156 -0.5473605 -0.78507254 -1.47374244 0.01148034 2.27976152 1.53249956], Predicted=1 X=[-0.30195909 -0.47865728 -0.11727796 -0.96448315 -0.21845708 -1.60584774 -1.56165777 -1.51721196 0.21017533 -0.87497341 1.7763039 ], Predicted=0 X=[-1.48709922 -0.92515558 1.28759423 -1.04335466 -0.7219878 -0.42975081 -0.50267791 -0.74479212 2.39582024 -0.34918426 -0.17413078], Predicted=0 X=[-0.30195909 -0.0817699 -0.36519658 -0.21520384 -0.035355 1.27558973 1.19168986 0.42554098 0.8062603 2.63028763 -0.58047134], Predicted=0 X=[-3.01959090e-01 6.12783009e-01 -1.27423152e+00 1.69280668e-03 1.65833924e+00 6.87541270e-01 2.39186704e+00 1.02742657e+00 1.53480861e+00 -8.62896794e-02 -1.06808001e+00], Predicted=0 X=[ 0.05358295 -0.28021359 1.12231514 0.39605034 -0.17268156 0.04068796 0.41510463 0.67298283 -0.25344632 0.527131 -0.90554379], Predicted=0 X=[-1.72412724 -0.57787912 0.13064066 0.02141068 -0.76776332 -0.5473605 -1.20866448 -1.03904729 0.67379698 -0.43681578 1.61376767], Predicted=1 X=[-0.4204731 -0.47865728 -1.10895244 0.21858945 0.1935226 0.51112673 0.95636101 0.33860195 -0.05475133 -0.08628968 -0.79718631], Predicted=0 X=[-0.65750113 -0.28021359 -0.86103382 1.67771232 -0.31000812 0.68754127 0.08564423 1.01070752 -0.31967798 -1.22549952 -0.66173945], Predicted=0 X=[ 1.23872307 0.91044854 -0.28255704 -0.72786863 -0.76776332 1.68722366 0.46217041 -0.81166829 -0.45214131 0.87765711 1.20742712], Predicted=0 X=[ 0.88318104 0.11667379 1.28759423 0.63266486 -0.7219878 0.56993158 1.37995295 -0.07603035 -0.38590965 -0.96260494 1.45123145], Predicted=0 X=[-0.4204731 -0.28021359 -0.53047566 1.73686595 0.14774708 2.33407697 1.85061067 1.06086466 0.01148034 -0.87497341 -0.49920323], Predicted=0 X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=0 X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=0 X=[ 0.64615301 -1.47087572 0.46119882 -0.3335111 -0.17268156 0.04068796 -0.0320202 0.32522671 1.13741862 0.61476253 -0.17413078], Predicted=0 X=[-0.18344508 -0.0817699 2.94038503 -1.02363678 5.96123811 0.04068796 -0.76153965 -0.38366076 -1.51184794 -0.52444731 -1.06808001], Predicted=0 X=[-1.01304317 -0.87554465 3.10566411 -0.96448315 4.86262563 -1.54704289 -1.96171683 -0.44384932 -0.45214131 -0.26155273 -0.58047134], Predicted=0 X=[ 4.09124986e-01 1.90266698e+00 -1.43951060e+00 -9.68965766e-02 1.01971559e-01 -1.25301866e+00 -3.14414825e-01 8.44724758e-02 -6.50836305e-01 1.34184656e-03 -5.80471343e-01], Predicted=0 X=[-0.53898711 1.60500145 0.87439652 1.57912294 0.10197156 -0.37094597 2.10947241 1.84665973 0.47510198 0.43949948 -1.39315246], Predicted=0 X=[ 0.05358295 0.8112267 0.13064066 0.43548609 -0.35578364 0.09949281 -0.31441482 -0.81166829 -1.24692128 -1.48839409 1.53249956], Predicted=0 X=[ 0.29061097 0.01745194 -1.19159198 0.27774308 -0.2642326 0.74634612 1.07402544 0.58938761 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-0.58460464 -1.66365715 0.55728222], Predicted=0 X=[-0.06493106 -0.9747665 0.29591974 -0.94476527 0.4224002 0.68754127 0.36803886 -0.2097827 -0.71706797 -0.34918426 -1.14934812], Predicted=0 X=[-0.89452915 -0.23060267 0.87439652 1.16504753 -0.035355 1.04037035 1.37995295 0.89367421 0.34263866 0.43949948 -0.82427568], Predicted=0 X=[ 0.05358295 1.00967039 0.37855928 1.32279054 3.03160483 -1.25301866 -1.04393428 1.30161889 -1.11445795 -0.08628968 -1.06808001], Predicted=0 X=[ 0.64615301 -0.37943543 -0.36519658 0.73125424 0.1935226 -0.84138474 -0.78507254 0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=0 X=[-0.06493106 -0.87554465 2.03135009 1.53968719 -0.35578364 0.92276066 0.60336772 1.16117892 -0.45214131 -0.08628968 -0.74300757], Predicted=0 X=[ 1.23872307 0.71200485 0.2132802 -0.94476527 -0.35578364 -1.4294332 -0.33794771 -0.41041123 0.40887032 -0.08628968 0.394746 ], Predicted=0 X=[-0.30195909 0.01745194 0.6264779 0.12000007 0.01042052 1.39319943 1.30935429 0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=0 X=[ 0.40912499 -0.67710097 0.29591974 -0.94476527 0.14774708 -0.72377504 -1.04393428 -0.54416359 -0.18721466 -0.08628968 0.31347789], Predicted=0 X=[-6.57501128e-01 7.12004853e-01 -6.13115201e-01 2.21009499e+00 6.97053318e-01 1.39319943e+00 1.40348584e+00 1.72293881e+00 -5.18372977e-01 1.34184656e-03 -1.39315246e+00], Predicted=0 X=[ 2.18683518 0.21589563 2.11398963 -0.9250474 0.01042052 -1.48823805 -1.60872354 -0.09943701 -0.8495313 0.61476253 0.23220977], Predicted=0 X=[-0.4204731 1.80344514 -0.1999175 -0.27435747 -0.85931436 -1.19421382 -1.56165777 -0.79494925 0.47510198 0.96528863 0.80108656], Predicted=0 X=[-0.30195909 0.61278301 -0.69575474 -0.31379322 -0.35578364 -1.13540897 -0.40854637 -0.68460356 1.13741862 1.92923542 1.69503579], Predicted=1 X=[-1.01304317 0.01745194 1.53551285 -0.03774295 -0.81353884 0.09949281 -0.80860543 -0.80832448 0.60756531 0.1766049 1.04489089], Predicted=0 X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=0 X=[ 1.4757511 -1.07398834 -1.0263129 -0.94476527 -0.44733468 -0.6649702 -0.45561214 -0.02252941 -0.05475133 0.26423642 -0.33666701], Predicted=0 X=[ 0.05358295 1.20811407 1.86607101 0.94815089 -0.12690604 0.27590734 0.08564423 1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=0 X=[ 0.05358295 -0.9747665 -0.03463842 -1.06307253 0.37662468 -0.6649702 0.60336772 -0.47728741 1.53480861 0.1766049 -0.01159456], Predicted=0 X=[ 4.08305938 -0.28021359 1.20495468 -0.82645801 -0.17268156 -0.42975081 0.60336772 1.32836936 0.01148034 0.87765711 -0.66173945], Predicted=0 X=[-1.01304317 -0.18099175 -0.03463842 -0.40252366 -0.2642326 -1.19421382 -1.37339468 -1.56736909 0.67379698 0.08897337 1.7763039 ], Predicted=1 X=[-0.4204731 -0.18099175 0.04800112 1.9537626 0.23929812 1.21678489 1.37995295 2.13088348 1.99843026 -0.61207884 -0.58047134], Predicted=0 X=[-0.53898711 0.61278301 -1.10895244 1.67771232 0.6512778 0.09949281 0.55630195 1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=0 X=[-0.06493106 0.01745194 0.46119882 -0.98420103 -0.44733468 -1.19421382 -0.54974368 -0.74479212 0.54133365 2.01686694 0.96362278], Predicted=0 X=[ 2.4238632 0.51356116 0.04800112 -0.98420103 0.46817572 -1.25301866 0.76809792 0.19147436 -0.38590965 -0.17392121 -0.66173945], Predicted=0 X=[-0.53898711 0.31511748 -0.44783612 -0.76730438 -0.31000812 -0.07692173 -0.0320202 -1.52724338 0.21017533 -0.96260494 1.7763039 ], Predicted=1 X=[-1.48709922 -1.57009756 -0.6131152 -0.4123826 -0.35578364 -1.01779928 -0.97333563 0.24831911 1.13741862 -0.26155273 -1.06808001], Predicted=0 X=[-1.60561323 0.71200485 0.13064066 -1.04335466 -0.035355 -1.25301866 0.67396638 -0.67791594 1.0049553 1.66634084 -0.49920323], Predicted=0 X=[-0.4204731 0.71200485 -0.1999175 0.75097212 1.06325748 1.33439458 0.74456503 0.96723801 -0.05475133 0.00134185 -0.90554379], Predicted=0 X=[-0.30195909 -1.57009756 -0.69575474 -0.98420103 -0.31000812 -0.84138474 -0.17321751 -0.9654835 0.077712 -0.34918426 0.55728222], Predicted=0 X=[-0.77601514 -0.47865728 -0.86103382 -1.02363678 -1.27129404 -1.01779928 -0.24381617 -0.75147973 -0.91576296 -1.8389202 0.06967355], Predicted=0 X=[ 1.00169505 0.21589563 0.04800112 -1.02363678 0.10197156 -1.84106713 -0.45561214 -1.06579776 -0.05475133 -1.31313104 1.28869523], Predicted=0 X=[ 0.76466702 -0.87554465 1.28759423 -0.90532952 0.4224002 -0.95899443 -0.66740811 0.19147436 0.93872363 -0.43681578 -0.49920323], Predicted=0 X=[ 0.76466702 -0.67710097 -0.36519658 -0.96448315 0.01042052 -0.01811689 -0.73800677 -0.93538922 -0.25344632 -0.34918426 0.63855033], Predicted=0 X=[-0.65750113 -0.67710097 2.03135009 0.71153637 1.61256372 -0.07692173 -0.29088194 0.72648377 -1.5780796 -0.26155273 -1.31188435], Predicted=0 X=[-0.30195909 -1.07398834 0.13064066 -0.74758651 -0.7219878 -0.13572658 -1.42046046 -0.85848162 0.21017533 2.01686694 0.63855033], Predicted=1 X=[ 0.29061097 -0.9747665 0.70911744 -0.98420103 -0.035355 0.68754127 0.43863752 -0.81166829 -1.5780796 -1.57602562 -0.01159456], Predicted=0 X=[-1.84264125 -0.67710097 -0.36519658 -1.12222616 -0.81353884 -1.4294332 -1.70285508 -0.62775881 0.74002864 -0.78734189 -0.58047134], Predicted=0 X=[-1.25007119 1.10889223 1.12231514 0.21858945 -0.85931436 -1.37062835 -1.1851316 -1.11261109 1.26988195 -0.34918426 2.83278935], Predicted=1 X=[-0.06493106 -0.47865728 -0.36519658 1.77630171 1.24635956 1.21678489 0.81516369 1.46212172 -0.8495313 -0.69971036 -1.47442057], Predicted=0 X=[ 1.00169505 0.41433932 2.36190825 0.82984363 -0.44733468 1.21678489 0.34450598 1.26149319 -0.38590965 -0.43681578 -1.31188435], Predicted=0 X=[ 0.64615301 -0.87554465 1.28759423 0.57351123 -0.7219878 -0.5473605 -0.14968462 -0.00915417 -1.31315295 -1.48839409 0.394746 ], Predicted=0 X=[-3.14629539 -1.07398834 0.2132802 -0.90532952 -0.76776332 3.3925642 0.53276906 -1.35002152 3.05813688 3.50660289 1.20742712], Predicted=1 X=[ 0.29061097 -0.9747665 0.46119882 1.59884082 0.23929812 0.74634612 0.41510463 1.81990926 1.07118696 2.5426561 -1.14934812], Predicted=0 X=[ 0.17209696 0.8112267 0.13064066 -0.76730438 0.10197156 1.8636382 0.53276906 -0.85848162 -0.91576296 0.61476253 0.47601411], Predicted=0 X=[-0.4204731 -0.18099175 -0.11727796 1.99319835 -0.035355 0.51112673 0.65043349 1.99713113 1.26988195 -0.26155273 -0.82427568], Predicted=0 X=[ 0.527639 -0.9747665 -0.36519658 -1.02363678 -0.08113052 -1.37062835 0.10917712 -0.74479212 0.077712 -0.08628968 0.63855033], Predicted=0 X=[ 0.527639 -0.77632281 -0.36519658 2.58473465 -0.31000812 1.98124789 2.32126838 2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=0 X=[-1.48709922 -0.77632281 -0.94367336 -1.0039189 0.14774708 -0.60616535 0.39157175 -0.35691029 3.65422186 -0.52444731 -0.41793512], Predicted=0 X=[-1.3685852 -0.9747665 0.2132802 -1.02363678 0.01042052 -1.54704289 -1.58519066 -0.68125975 3.3892952 1.66634084 0.31347789], Predicted=0 X=[-1.3685852 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X=[-0.4204731 1.50577961 -1.27423152 1.33264948 -0.63043676 -0.60616535 -0.17321751 0.54257429 0.27640699 0.1766049 0.15094166], Predicted=0 X=[ 0.17209696 -1.17321019 -0.11727796 -1.04335466 -0.63043676 -0.37094597 -1.37339468 -1.44030435 0.27640699 -1.13786799 1.28869523], Predicted=1 X=[ 0.40912499 0.11667379 -1.10895244 0.2580252 0.01042052 0.92276066 0.83869658 0.59941904 -0.18721466 0.26423642 -0.82427568], Predicted=0 X=[-0.18344508 1.30733592 -2.67910371 -0.70815075 0.10197156 0.2171025 -0.0320202 0.05772201 0.34263866 -1.22549952 -0.82427568], Predicted=0 X=[ 0.29061097 -0.77632281 0.13064066 -0.62927925 -0.53888572 -0.84138474 -0.73800677 -0.69463498 -0.51837298 0.43949948 0.47601411], Predicted=0 X=[ 1.59426511 1.00967039 1.28759423 1.42137993 -0.17268156 1.33439458 0.65043349 1.51227885 -0.58460464 0.43949948 -0.90554379], Predicted=0 X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878 -0.01811689 -0.78507254 -0.94542065 0.74002864 -0.43681578 0.47601411], Predicted=0 X=[ 0.05358295 1.30733592 -0.03463842 0.73125424 -0.12690604 -0.42975081 0.32097309 0.9271123 0.077712 0.26423642 -0.90554379], Predicted=0 X=[ 0.527639 0.11667379 -0.28255704 1.30307267 -0.12690604 0.62873642 2.34480127 1.52899789 -0.8495313 -0.69971036 -1.47442057], Predicted=0 X=[-1.01304317 0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443 -0.43207925 -1.50718053 0.87249197 -0.69971036 1.7763039 ], Predicted=0 X=[-0.4204731 0.71200485 -0.44783612 1.18476541 0.23929812 2.98093028 1.75647912 0.72648377 -0.18721466 0.1766049 -0.49920323], Predicted=0 X=[ 0.527639 -0.9747665 2.60982687 -0.98420103 0.01042052 -0.42975081 0.43863752 0.19147436 0.93872363 1.14055168 -0.90554379], Predicted=0 X=[ 0.29061097 1.50577961 2.27926871 1.06645815 -0.035355 1.09917519 0.39157175 1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=0 X=[-0.53898711 0.31511748 0.37855928 -0.68843288 -0.35578364 -0.95899443 -0.8556712 -0.94542065 -0.12098299 -1.22549952 0.394746 ], Predicted=0 X=[ 0.76466702 -1.37165388 3.35358273 -0.94476527 -0.4931102 -0.84138474 -0.29088194 -0.24322079 0.47510198 -0.34918426 -0.2553989 ], Predicted=0 X=[-0.06493106 -0.28021359 0.04800112 -0.3335111 -0.67621228 -0.07692173 -0.10261885 -0.44384932 0.14394366 -0.96260494 0.06967355], Predicted=0 X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226 0.10197156 0.33471219 1.45055161 -0.07603035 2.06466192 0.08897337 -0.66173945], Predicted=0 X=[-0.06493106 -0.67710097 -0.53047566 2.31854331 -0.17268156 0.33471219 0.17977578 2.03056922 0.74002864 -1.13786799 -1.47442057], Predicted=0 X=[-0.18344508 1.20811407 -0.94367336 0.47492185 0.28507364 -0.6649702 -0.59680945 0.57935618 0.21017533 -0.34918426 -0.90554379], Predicted=0 X=[ 0.29061097 -1.27243203 0.04800112 -1.06307253 -0.58466124 -0.48855566 -1.53812488 -1.43361674 0.34263866 -0.69971036 1.36996334], Predicted=1 X=[-0.18344508 0.61278301 0.79175698 -0.94476527 -0.21845708 -0.37094597 -0.57327657 -1.29986438 0.27640699 -0.43681578 1.69503579], Predicted=0 X=[-0.4204731 -0.57787912 -0.44783612 -0.53068986 0.60550228 -0.37094597 0.29744021 -0.75482354 0.27640699 -0.69971036 1.28869523], Predicted=0 X=[-0.77601514 0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443 -1.23219737 -1.56736909 -0.98199462 -2.01418325 2.34518068], Predicted=1 X=[ 0.29061097 -0.18099175 -0.11727796 -0.09689658 -0.40155916 0.2171025 -0.97333563 -0.2097827 0.8062603 -0.78734189 0.88235467], Predicted=0 X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=0 X=[ 0.17209696 -0.47865728 0.13064066 -0.98420103 -0.44733468 -0.25333627 -0.59680945 -0.94542065 -0.18721466 -0.08628968 0.23220977], Predicted=0 X=[-0.30195909 -1.17321019 1.94871055 -1.04335466 3.85556419 1.33439458 0.03857846 -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=0 X=[-1.84264125 -1.12359927 -0.77839428 -1.04335466 0.23929812 -0.60616535 -0.78507254 -0.5107255 0.87249197 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0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=0 X=[ 0.527639 0.41433932 0.13064066 -0.98420103 0.1935226 -1.60584774 0.57983483 -0.53078835 0.34263866 -0.61207884 0.15094166], Predicted=0 X=[ 0.05358295 -0.37943543 -0.03463842 -0.31379322 -0.2642326 -1.13540897 -0.17321751 -0.14290653 0.47510198 1.31581474 0.15094166], Predicted=0 X=[-0.53898711 0.01745194 -0.86103382 -0.0771787 0.23929812 0.86395581 0.55630195 -0.00915417 -0.25344632 0.26423642 -0.2553989 ], Predicted=0 X=[ 1.00169505 -0.37943543 -0.36519658 1.75658383 -0.08113052 0.2171025 1.30935429 1.39524554 -0.8495313 -0.17392121 -0.74300757], Predicted=0 X=[ 0.29061097 0.86083762 -1.60478968 -1.02363678 0.4224002 -0.6649702 -1.27926314 0.02428392 -0.25344632 -0.52444731 -1.31188435], Predicted=0 X=[-0.18344508 -0.28021359 -0.86103382 0.15943582 -0.35578364 1.51080912 1.92120932 0.39210289 -0.31967798 -1.22549952 -0.82427568], Predicted=0 X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=0 X=[-0.30195909 0.21589563 -0.69575474 0.31717883 -0.44733468 -0.84138474 -0.33794771 -0.13621891 -0.8495313 -0.96260494 0.23220977], Predicted=0 X=[-0.89452915 -0.28021359 -0.28255704 -1.02363678 -0.44733468 0.39351704 -0.73800677 -1.01229682 1.0049553 0.61476253 0.23220977], Predicted=0 X=[ 7.64667024e-01 1.16673788e-01 -6.13115201e-01 1.68757126e+00 9.71706437e-01 6.87541270e-01 9.32828121e-01 1.45543410e+00 -9.81994625e-01 1.34184656e-03 -1.06808001e+00], Predicted=0 X=[-0.06493106 -0.57787912 -0.28255704 1.42137993 0.4224002 0.86395581 0.97989389 1.46212172 1.66727194 -0.87497341 -0.58047134], Predicted=0 X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=0 X=[-0.18344508 -0.28021359 -0.1999175 -0.99405996 0.69705332 -0.2827387 1.87414355 -0.04927988 -0.18721466 0.35186795 -0.82427568], Predicted=0 X=[-0.4204731 0.21589563 -0.53047566 -0.47153623 -0.35578364 0.09949281 -0.97333563 -1.25973868 0.077712 0.96528863 1.69503579], Predicted=1 X=[-0.53898711 -0.47865728 -0.28255704 0.13971794 -0.40155916 1.62841881 2.29773549 0.39210289 -0.8495313 -1.31313104 -1.06808001], Predicted=0 X=[-1.01304317 0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112 -0.57327657 -2.03550233 -0.71706797 -0.52444731 2.18264446], Predicted=1 X=[ 0.64615301 -0.77632281 0.79175698 0.27774308 -0.035355 -0.48855566 0.34450598 0.79335995 0.01148034 0.527131 -1.23061624], Predicted=0 X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=0 X=[-0.65750113 -0.77632281 0.54383836 -0.96448315 -0.40155916 -0.01811689 -0.73800677 -0.7782302 1.79973526 0.08897337 0.71981845], Predicted=0 X=[-1.01304317 0.61278301 2.69246641 1.87489109 0.01042052 -0.5473605 0.60336772 1.29493128 -0.31967798 0.08897337 -1.39315246], Predicted=0 X=[-0.06493106 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X=[-2.19818329 -0.42904636 -0.53047566 1.05659921 -0.7219878 -0.07692173 -0.47914502 0.45897907 -0.78329963 0.08897337 -0.90554379], Predicted=0 X=[ 1.23872307 -1.37165388 3.35358273 -1.02363678 -0.81353884 -0.31214112 0.62690061 -1.01229682 -0.71706797 2.8931822 1.45123145], Predicted=1 X=[ 0.527639 -0.47865728 0.29591974 -0.88561164 -0.21845708 0.92276066 0.62690061 -1.079173 0.47510198 -0.78734189 1.36996334], Predicted=0 X=[-0.30195909 1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=0 X=[ 0.40912499 -0.37943543 -0.53047566 0.98758664 -0.53888572 0.27590734 0.83869658 1.23808652 0.077712 -0.43681578 -1.23061624], Predicted=0 X=[-0.89452915 0.61278301 -1.0263129 -0.27435747 -0.17268156 -1.07660412 -0.12615174 -0.09943701 -1.11445795 0.35186795 -0.90554379], Predicted=0 X=[ 0.05358295 0.11667379 0.54383836 2.57487571 -0.12690604 0.04068796 0.41510463 1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=0 X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474 -1.53812488 -1.69443383 -0.12098299 -1.48839409 1.93884012], Predicted=1 X=[-0.06493106 -1.57009756 -0.1999175 -0.23492171 -0.035355 -0.37094597 -0.43207925 0.05772201 1.46857694 -0.26155273 -0.58047134], Predicted=0 X=[ 1.12020906 -0.18099175 1.28759423 -0.64899712 -0.035355 -0.84138474 -0.5262108 -0.31009697 -0.18721466 -1.22549952 -0.17413078], Predicted=0 X=[-0.06493106 -0.18099175 -0.6131152 -0.86589377 -1.22551852 -0.69437262 -1.56165777 -1.20958154 -0.18721466 -0.17392121 1.04489089], Predicted=0 X=[-7.76015140e-01 6.12783009e-01 -2.82557040e-01 9.28433010e-01 5.61960394e-02 -4.29750812e-01 2.32126838e+00 1.36180745e+00 -5.47513286e-02 1.34184656e-03 -1.47442057e+00], Predicted=0 X=[ 1.71277913 0.21589563 0.2132802 0.71153637 -0.17268156 -0.13572658 0.72103215 1.39524554 0.27640699 0.1766049 -0.9868119 ], Predicted=0 X=[-1.60561323 -0.87554465 -0.53047566 -1.08279041 -0.2642326 0.9815655 -0.83213831 -1.25973868 2.06466192 -0.87497341 0.55728222], Predicted=0 X=[ 0.88318104 -0.77632281 0.04800112 -0.90532952 -0.21845708 0.39351704 0.22684155 -0.22650175 1.07118696 1.49107779 0.47601411], Predicted=0 X=[-0.89452915 -0.77632281 -1.35687106 -0.94476527 0.10197156 0.62873642 -0.22028328 -1.01229682 0.74002864 -0.52444731 0.71981845], Predicted=0 X=[-0.06493106 0.51356116 -0.44783612 -1.02363678 -0.63043676 0.15829765 -0.17321751 -1.71449668 0.01148034 -0.69971036 2.02010823], Predicted=1 X=[-0.53898711 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=0 X=[-0.4204731 -0.0817699 0.54383836 0.71153637 -0.31000812 2.27527212 2.08593952 0.59941904 -0.05475133 0.08897337 -0.90554379], Predicted=0 X=[ 0.05358295 0.41433932 -0.53047566 1.89460897 -0.53888572 1.33439458 1.09755832 1.78981498 1.0049553 0.96528863 -1.23061624], Predicted=0 X=[-0.18344508 -0.77632281 -0.77839428 0.02141068 -0.08113052 -0.42975081 -0.90273697 -0.18303223 -0.45214131 -1.40076257 -0.2553989 ], Predicted=0 X=[-0.18344508 0.21589563 0.87439652 2.43685057 0.51395124 1.7460285 2.01534087 1.85000354 -0.51837298 0.35186795 -1.14934812], Predicted=0 X=[-0.18344508 -0.18099175 0.46119882 -1.04335466 -0.2642326 0.56993158 0.20330866 -0.17634461 0.87249197 0.79002558 -0.74300757], Predicted=0 X=[-0.4204731 -0.9747665 -0.6131152 -0.98420103 -0.21845708 0.27590734 0.06211135 0.02428392 1.0049553 2.01686694 -0.82427568], Predicted=0 X=[ 1.94980715 -0.87554465 1.20495468 -1.04335466 -0.90508988 -0.72377504 -1.89111817 -0.73141688 -1.90923792 0.08897337 -0.01159456], Predicted=0 X=[-1.48709922 -0.23060267 1.94871055 0.8495615 0.46817572 1.80483335 0.76809792 0.20484959 0.40887032 1.05292016 -0.09286267], Predicted=0 X=[-0.18344508 0.71200485 -0.11727796 0.5143576 -0.63043676 -0.37094597 -0.59680945 -0.71804165 -0.38590965 1.40344626 1.93884012], Predicted=1 X=[ 0.76466702 1.00967039 1.37023377 1.26363691 -0.17268156 1.27558973 1.07402544 1.46212172 -0.6508363 -0.26155273 -1.23061624], Predicted=0 X=[ 0.527639 -0.37943543 0.04800112 0.21858945 0.10197156 -0.37094597 0.32097309 0.72648377 -0.58460464 0.43949948 -1.23061624], Predicted=0 X=[-0.30195909 -0.0817699 -0.69575474 -0.64899712 0.28507364 0.33471219 1.16815698 -0.84510638 0.34263866 -0.78734189 0.63855033], Predicted=0 X=[ 0.17209696 -0.57787912 0.46119882 -0.84617589 0.4224002 0.2171025 1.40348584 0.3586648 2.19712525 0.43949948 -0.2553989 ], Predicted=0 X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=0 X=[ 0.29061097 -0.77632281 -0.1999175 0.09042325 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=0 X=[-0.4204731 -0.28021359 -1.10895244 -0.98420103 -0.99664092 -0.37094597 -0.87920408 -0.81166829 0.34263866 0.43949948 0.23220977], Predicted=0 X=[ 0.88318104 -1.07398834 1.0396756 -1.08279041 -0.44733468 1.62841881 0.20330866 -0.92535779 -1.11445795 -0.69971036 0.15094166], Predicted=0 X=[-0.30195909 1.10889223 -0.94367336 -0.47153623 -0.35578364 -1.07660412 -0.94980274 -1.28648915 0.40887032 0.35186795 2.02010823], Predicted=1 X=[-0.4204731 1.50577961 -0.44783612 0.95800982 -0.63043676 -0.25333627 -1.20866448 -0.61103976 -1.11445795 -0.96260494 1.53249956], Predicted=0 X=[ 0.88318104 -0.0817699 -0.36519658 -0.76730438 0.60550228 0.09949281 -0.54974368 -0.24990841 -0.6508363 -1.05023647 -0.58047134], Predicted=0 X=[-0.30195909 -0.37943543 0.13064066 0.2580252 -0.67621228 0.04068796 -0.07908597 -0.07603035 0.01148034 -1.05023647 -0.01159456], Predicted=0 X=[-0.53898711 0.31511748 1.37023377 -0.11661445 -0.35578364 0.39351704 -0.64387523 -0.71469784 -0.05475133 0.35186795 1.126159 ], Predicted=0 X=[-0.77601514 -0.67710097 -0.44783612 -0.13633233 -0.81353884 0.56993158 -0.40854637 -0.78491782 0.14394366 5.17160188 1.32932928], Predicted=1 X=[ 0.527639 -0.18099175 1.28759423 -0.27435747 -0.81353884 -0.19453143 -0.73800677 -0.14290653 0.34263866 0.43949948 0.23220977], Predicted=0 X=[ 0.527639 -1.47087572 -0.1999175 -0.80674014 0.37662468 -0.78257989 -0.80860543 -0.54416359 0.34263866 3.76949746 0.80108656], Predicted=1 X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=0 X=[ 1.83129314 -1.17321019 -0.03463842 -0.96448315 -0.58466124 -1.13540897 -0.94980274 -0.00915417 -0.31967798 -0.61207884 -0.66173945], Predicted=0 X=[-0.18344508 2.59721989 -0.53047566 0.13971794 0.14774708 -1.60584774 0.93282812 0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=0 X=[-0.30195909 -0.57787912 -0.28255704 1.63827657 -0.035355 0.86395581 -0.05555308 1.00736371 -0.31967798 -1.05023647 0.06967355], Predicted=0 X=[-0.18344508 0.31511748 -0.11727796 1.59884082 -0.35578364 -1.72345743 -1.39692757 0.03097153 -0.31967798 -1.31313104 1.61376767], Predicted=1 X=[ 0.40912499 -0.37943543 -0.28255704 -0.94476527 0.10197156 -0.48855566 -0.17321751 -0.24322079 0.40887032 -0.34918426 -0.01159456], Predicted=0 X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=0 X=[ 0.29061097 -0.28021359 -0.44783612 -0.94476527 0.28507364 0.62873642 0.72103215 -0.47728741 -0.91576296 -0.69971036 -0.01159456], Predicted=0 X=[-0.06493106 0.41433932 -1.0263129 -0.82645801 -0.08113052 -1.19421382 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=0 X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959 0.14774708 -0.5473605 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=0 X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=0 X=[-0.18344508 -0.67710097 0.04800112 -0.96448315 -0.4931102 0.56993158 -0.3614806 -1.51721196 0.34263866 -1.13786799 1.69503579], Predicted=1 X=[ 0.88318104 -1.17321019 0.87439652 -0.98420103 -0.12690604 -0.60616535 -0.690941 -0.27665888 -0.51837298 2.27976152 -0.17413078], Predicted=0 X=[ 0.29061097 -0.9747665 1.28759423 -1.0039189 -0.58466124 -1.37062835 -1.56165777 -1.10592347 -0.91576296 0.35186795 0.63855033], Predicted=0 X=[-0.65750113 -1.17321019 -0.94367336 -1.0039189 0.01042052 -1.01779928 -1.70285508 -0.32012839 2.79321022 0.527131 -0.17413078], Predicted=0 X=[-0.06493106 0.41433932 0.04800112 -0.0771787 0.1935226 -1.78226228 -0.22028328 0.42554098 0.01148034 -0.78734189 -1.14934812], Predicted=0 X=[ 0.64615301 -0.0817699 1.28759423 -1.04335466 -0.40155916 -0.13572658 0.41510463 -0.67791594 -0.25344632 0.43949948 0.47601411], Predicted=0 X=[ 1.12020906 -0.18099175 1.28759423 -0.62927925 -0.85931436 -0.42975081 -1.20866448 -0.71135403 -1.04822629 -1.48839409 0.63855033], Predicted=0 X=[ 0.17209696 1.90266698 -2.18326647 -1.04335466 -0.4931102 -1.07660412 0.29744021 -1.01229682 -1.11445795 -1.31313104 -0.01159456], Predicted=0 X=[-0.77601514 0.51356116 -0.53047566 -0.29407534 -0.44733468 -0.31214112 -0.10261885 -0.44384932 0.077712 -0.61207884 -0.09286267], Predicted=0 X=[-0.30195909 0.8112267 -1.0263129 -0.96448315 0.14774708 0.2171025 1.07402544 -0.41041123 -0.05475133 -0.69971036 -0.49920323], Predicted=0 X=[ 1.23872307 -1.17321019 -0.28255704 0.19887157 0.1935226 1.33439458 0.32097309 0.6997333 -0.45214131 -1.05023647 -0.82427568], Predicted=0 X=[ 0.40912499 -1.07398834 0.6264779 -0.94476527 0.28507364 -0.6649702 -0.29088194 -0.58428929 0.01148034 0.00134185 0.23220977], Predicted=0 X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.02695966 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=0 X=[ 0.05358295 -0.9747665 0.2132802 -1.0039189 -0.44733468 0.27590734 -0.50267791 -0.2097827 0.54133365 4.03239204 -0.82427568], Predicted=0 X=[-0.89452915 0.8112267 -1.4395106 0.00169281 -0.40155916 0.04068796 1.40348584 0.12459818 -0.12098299 1.14055168 -0.49920323], Predicted=0 X=[-1.01304317 -0.67710097 0.04800112 -0.86589377 -0.17268156 1.62841881 -0.3614806 -1.17279965 1.66727194 -0.61207884 0.71981845], Predicted=1 X=[ 1.12020906 2.10111067 1.28759423 0.12000007 -0.12690604 -0.37094597 0.25037443 0.39210289 0.14394366 -1.40076257 -0.41793512], Predicted=0 X=[ 0.17209696 -1.07398834 -0.03463842 -0.47153623 -0.53888572 -1.07660412 -0.26734905 -0.2097827 0.01148034 -0.87497341 0.06967355], Predicted=0 X=[-0.4204731 -0.67710097 -0.44783612 -0.98420103 0.01042052 -0.5473605 -1.70285508 -0.68125975 1.60104027 -0.08628968 0.47601411], Predicted=0 X=[-1.25007119 0.11667379 0.37855928 0.8495615 -0.35578364 0.80515096 -0.05555308 -0.12284367 -0.51837298 0.87765711 0.55728222], Predicted=0 X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=0 X=[-0.18344508 -0.18099175 1.28759423 0.37633246 0.05619604 1.09917519 1.23875564 0.45897907 0.27640699 -0.78734189 -0.17413078], Predicted=0 X=[-0.18344508 0.46395024 4.01469905 -1.02363678 4.86262563 0.80515096 -0.43207925 -0.30340935 -1.31315295 -0.96260494 -1.06808001], Predicted=0 X=[ 0.17209696 -0.57787912 -0.6131152 -1.04335466 -0.40155916 -0.90018958 -1.58519066 -1.27980153 -0.58460464 -0.96260494 0.96362278], Predicted=0 X=[ 1.35723709e+00 -8.75544654e-01 -2.82557040e-01 -8.65893766e-01 3.30849159e-01 7.46346116e-01 3.85784619e-02 -9.15417164e-03 -5.47513286e-02 1.34184656e-03 -7.43007566e-01], Predicted=0 X=[ 0.40912499 -0.37943543 -0.53047566 0.98758664 -0.53888572 0.27590734 0.83869658 1.23808652 0.077712 -0.43681578 -1.23061624], Predicted=0 X=[ 0.40912499 -0.77632281 0.37855928 -1.06307253 -0.40155916 -0.84138474 -1.514592 -0.74479212 0.14394366 -1.05023647 0.394746 ], Predicted=0 X=[-1.3685852 -0.18099175 -0.53047566 -0.45181836 7.1056261 2.2458697 1.20345631 0.05772201 0.54133365 -0.96260494 -0.90554379], Predicted=0 X=[-0.30195909 0.31511748 0.29591974 -0.03774295 0.28507364 -1.31182351 0.60336772 0.66629521 0.34263866 -0.87497341 -1.39315246], Predicted=0 X=[ 0.64615301 -0.9747665 0.2132802 1.32279054 0.46817572 2.15766243 0.57983483 1.99713113 1.53480861 -1.22549952 -1.14934812], Predicted=0 X=[ 0.64615301 0.71200485 -0.77839428 -0.0771787 -0.17268156 -0.42975081 -0.3614806 -0.33015982 -0.31967798 -0.43681578 0.63855033], Predicted=0 X=[-0.06493106 0.41433932 -0.28255704 -0.60956137 -0.76776332 -1.19421382 -1.37339468 -1.14270537 0.93872363 1.22818321 1.69503579], Predicted=1 X=[ 0.29061097 -0.9747665 0.46119882 1.59884082 0.23929812 0.74634612 0.41510463 1.81990926 1.07118696 2.5426561 -1.14934812], Predicted=0 X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=0 X=[-1.13155718 0.8112267 0.6264779 -1.0039189 0.05619604 0.56993158 -0.80860543 -0.7782302 0.93872363 0.1766049 0.06967355], Predicted=0 X=[ 0.29061097 0.61278301 1.28759423 -0.96448315 -0.85931436 -0.5473605 -0.29088194 -1.34667771 0.74002864 -1.40076257 1.36996334], Predicted=0 X=[-0.30195909 1.20811407 1.0396756 -0.03774295 0.46817572 0.39351704 2.41539992 0.9271123 2.06466192 0.96528863 -0.49920323], Predicted=0 X=[ 0.17209696 -0.77632281 0.13064066 0.47492185 -0.40155916 -0.25333627 -0.83213831 -0.04927988 -0.38590965 0.00134185 0.394746 ], Predicted=0 X=[-1.72412724 0.11667379 1.12231514 -0.668715 0.28507364 0.68754127 0.15624289 -0.34353506 0.67379698 2.27976152 -0.41793512], Predicted=0 X=[-0.30195909 -0.18099175 -0.69575474 1.02702239 -0.035355 0.56993158 0.93282812 0.9638942 0.93872363 -0.52444731 -0.58047134], Predicted=0 X=[ 1.71277913 1.40655776 2.36190825 2.53543996 -0.2642326 0.33471219 0.79163081 2.06400731 -1.37938461 1.57870931 -0.66173945], Predicted=0 X=[-0.53898711 3.39099465 -1.77006876 -0.3335111 0.6512778 -0.13572658 1.35642006 0.51248001 0.21017533 -0.08628968 -1.31188435], Predicted=0 X=[-1.01304317 0.31511748 0.37855928 -0.31379322 -0.2642326 0.33471219 -0.87920408 -1.45367959 0.34263866 0.61476253 2.10137634], Predicted=1 X=[-1.25007119 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=1 X=[-0.18344508 -0.37943543 -0.11727796 0.5143576 -1.04241644 -0.90018958 -0.690941 -0.47059979 1.0049553 -1.22549952 1.69503579], Predicted=1 X=[ 0.17209696 -0.57787912 -0.36519658 0.49463972 0.1935226 -0.6649702 -1.13806583 0.51248001 0.67379698 -0.26155273 -0.58047134], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=0 X=[-0.65750113 -0.57787912 -0.94367336 -0.15605021 -0.31000812 -0.25333627 -0.24381617 -0.35691029 -0.45214131 -0.26155273 -0.09286267], Predicted=0 X=[ 0.88318104 -0.87554465 0.37855928 0.82984363 0.6512778 0.74634612 0.83869658 0.72648377 -0.38590965 -0.96260494 -0.01159456], Predicted=0 X=[ 0.88318104 0.11667379 2.03135009 2.19037712 -0.21845708 0.92276066 2.03887375 1.89681687 -0.18721466 1.49107779 -0.82427568], Predicted=0 X=[ 0.40912499 -0.37943543 -1.19159198 0.2580252 -0.035355 1.04037035 0.88576235 0.59273142 -0.12098299 -0.96260494 -0.82427568], Predicted=0 X=[-0.4204731 -1.37165388 -0.11727796 -0.72786863 -0.40155916 -1.01779928 -1.16159871 -0.54416359 1.40234528 2.19213 0.80108656], Predicted=1 X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474 -0.35578364 0.33471219 0.27390732 -0.24322079 1.99843026 1.92923542 -0.01159456], Predicted=0 X=[-0.77601514 0.01745194 -0.44783612 -0.4123826 -0.90508988 -0.78257989 -0.78507254 -1.68105859 -1.37938461 1.31581474 2.10137634], Predicted=1 X=[-0.30195909 0.91044854 -2.18326647 -0.98420103 0.10197156 1.33439458 0.13271 -0.61103976 -0.12098299 -0.96260494 -0.41793512], Predicted=0 X=[ 0.05358295 -0.67710097 3.93205951 -1.04335466 4.17599283 0.9815655 -0.3614806 -0.27665888 -1.04822629 -0.87497341 -1.06808001], Predicted=0 X=[ 1.83129314 -0.37943543 1.28759423 0.19887157 -0.31000812 0.62873642 -0.71447388 -0.2097827 -1.04822629 -1.40076257 1.126159 ], Predicted=0 X=[-0.18344508 -0.57787912 0.29591974 -0.94476527 -0.81353884 -0.6649702 -0.8556712 -0.91198256 0.67379698 0.87765711 0.88235467], Predicted=0 X=[ 1.4757511 2.20033252 1.12231514 -1.04335466 -0.40155916 -0.72377504 -0.29088194 -0.07603035 0.14394366 -0.61207884 0.31347789], Predicted=0 X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866 -1.32632891 -0.90529494 -0.58460464 0.79002558 0.55728222], Predicted=0 X=[-1.13155718 -0.57787912 -0.36519658 -0.43210048 -0.40155916 1.98124789 0.13271 -0.63110262 -0.38590965 2.19213 0.23220977], Predicted=0 X=[-1.13155718 -0.28021359 -0.53047566 -0.96448315 -0.76776332 0.09949281 -1.3498618 -1.61418241 0.077712 -0.26155273 1.36996334], Predicted=1 X=[-2.43521132 0.51356116 -2.76174325 0.02141068 -0.81353884 -0.07692173 0.57983483 -0.10946844 1.07118696 1.05292016 -0.49920323], Predicted=0 X=[-0.30195909 -0.57787912 2.03135009 -1.04335466 3.99289075 0.9815655 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0.74634612 -0.64387523 -1.14604918 -0.31967798 -1.48839409 1.126159 ], Predicted=0 X=[-0.30195909 1.00967039 -0.36519658 -0.68843288 -0.4931102 -1.19421382 -0.87920408 -1.62755765 -0.98199462 -1.05023647 1.61376767], Predicted=0 X=[ 0.76466702 -0.57787912 -0.11727796 -0.78702226 -0.035355 -0.37094597 -0.90273697 -0.89526351 -0.71706797 0.96528863 0.63855033], Predicted=0 X=[ 1.23872307 -0.0817699 -0.53047566 -0.9250474 -0.53888572 -0.60616535 -0.38501348 -1.05242253 -1.44561627 0.1766049 1.126159 ], Predicted=0 X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=0 X=[-1.01304317 -0.67710097 -0.36519658 1.32279054 -0.17268156 -0.42975081 -0.31441482 1.78312737 1.33611362 -0.34918426 -1.55568868], Predicted=0 X=[-0.4204731 -0.0817699 -0.6131152 0.90871513 -0.7219878 -1.95867682 -1.32632891 -0.00246655 -0.78329963 -1.13786799 0.55728222], Predicted=0 X=[ 1.35723709 0.11667379 1.28759423 1.04674027 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0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=0 X=[-0.30195909 0.51356116 -0.77839428 1.9044679 -0.035355 -0.25333627 0.20330866 1.40193316 -0.71706797 0.26423642 -1.06808001], Predicted=0 X=[ 0.527639 -0.9747665 -0.36519658 -1.02363678 -0.08113052 -1.37062835 0.10917712 -0.74479212 0.077712 -0.08628968 0.63855033], Predicted=0 X=[-0.30195909 -0.28021359 0.13064066 1.50025143 1.06325748 0.39351704 0.57983483 1.66275025 2.4620519 -0.17392121 -0.58047134], Predicted=0 X=[ 0.40912499 0.21589563 -0.28255704 0.45520397 -1.08819196 -1.25301866 -0.64387523 0.57935618 -0.51837298 1.05292016 0.06967355], Predicted=0 X=[ 1.23872307 -0.57787912 -0.77839428 -0.35322897 -0.08113052 0.2171025 0.48570329 -0.44384932 -1.31315295 -1.8389202 0.80108656], Predicted=0 X=[-1.01304317 -1.37165388 -1.35687106 -0.15605021 -0.44733468 0.09949281 -0.26734905 -0.09943701 -0.91576296 0.70239405 -0.58047134], Predicted=0 X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355 -0.25333627 -0.87920408 -0.31009697 1.53480861 0.527131 0.71981845], Predicted=0 X=[-1.01304317 0.51356116 0.37855928 0.65238274 -0.2642326 -0.37094597 -0.33794771 0.45897907 1.86596693 -0.08628968 0.394746 ], Predicted=0 X=[ 1.59426511 0.01745194 0.70911744 -0.90532952 -0.67621228 -0.31214112 -1.06746717 -0.7782302 -0.6508363 -0.87497341 0.71981845], Predicted=0 X=[-0.89452915 -0.28021359 1.20495468 1.85517321 0.28507364 -0.60616535 -1.04393428 1.2681808 -0.78329963 -0.34918426 -1.06808001], Predicted=0 X=[ 0.17209696 0.41433932 -0.36519658 0.23830733 -0.9508654 -0.01811689 -0.33794771 -0.80498067 -0.25344632 1.40344626 1.85757201], Predicted=1 X=[-0.89452915 0.8112267 2.03135009 1.6974302 -0.08113052 0.39351704 -0.54974368 1.26149319 -0.25344632 0.1766049 -1.23061624], Predicted=0 X=[-0.77601514 -0.87554465 0.37855928 -0.25463959 -1.22551852 -0.78257989 -1.32632891 -1.47708625 -0.91576296 -1.13786799 1.61376767], Predicted=1 X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=0 X=[-0.18344508 -0.37943543 0.13064066 1.32279054 0.1935226 1.68722366 1.56821604 0.99398848 -0.25344632 0.08897337 -0.82427568], Predicted=0 X=[ 0.527639 0.21589563 -0.69575474 -0.76730438 -0.035355 -0.19453143 -0.38501348 -0.2465646 -0.05475133 0.43949948 -0.17413078], Predicted=0 X=[-0.30195909 2.59721989 -1.0263129 1.9537626 0.4224002 0.33471219 1.02695966 1.52899789 1.07118696 0.43949948 -0.09286267], Predicted=0 X=[ 0.40912499 -0.0817699 1.0396756 2.43685057 0.28507364 0.56993158 2.74486032 1.99713113 -0.98199462 0.26423642 -1.31188435], Predicted=0 X=[-0.53898711 -0.18099175 -0.28255704 -0.82645801 -0.9508654 -0.13572658 -0.10261885 -0.67791594 0.14394366 -0.17392121 0.06967355], Predicted=0 X=[ 1.00169505 1.00967039 0.54383836 -0.86589377 -0.35578364 -0.42975081 0.32097309 -1.14604918 -0.05475133 -1.48839409 1.93884012], Predicted=0 X=[ 1.12020906 -0.37943543 -0.11727796 1.14532965 0.37662468 0.39351704 -0.00848731 1.46212172 -1.18068962 0.43949948 -1.39315246], Predicted=0 X=[ 1.59426511 0.8112267 -0.36519658 0.23830733 -0.4931102 0.09949281 -0.38501348 -0.04259226 -0.18721466 -1.31313104 1.20742712], Predicted=0 X=[-0.53898711 -1.57009756 1.28759423 0.00169281 -0.17268156 0.80515096 0.53276906 0.15803627 1.0049553 -0.43681578 -0.09286267], Predicted=0 X=[ 0.05358295 0.21589563 -0.28255704 -1.0039189 0.33084916 -0.6649702 1.12109121 -0.13956272 0.67379698 0.43949948 -0.49920323], Predicted=0 X=[ 0.05358295 2.99410727 2.03135009 0.35661459 -0.63043676 -0.37094597 0.72103215 -0.42713028 0.60756531 -0.43681578 1.36996334], Predicted=0 X=[-1.13155718 0.61278301 -0.28255704 -0.51097199 -0.4931102 1.27558973 -0.07908597 -1.29317677 -0.6508363 -1.31313104 1.20742712], Predicted=0 X=[ 0.17209696 -0.67710097 0.04800112 0.41576822 -0.58466124 -0.25333627 2.69779455 0.42554098 0.21017533 0.61476253 -0.01159456], Predicted=0 X=[ 1.35723709 0.41433932 -0.6131152 -1.02363678 0.1935226 -1.40003078 -1.1851316 0.19147436 0.34263866 -1.05023647 -0.82427568], Predicted=0 X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=0 X=[-0.30195909 -0.0817699 -0.03463842 -0.98420103 -0.17268156 -0.6649702 1.05049255 -0.62775881 0.67379698 -0.26155273 0.15094166], Predicted=0 X=[-0.30195909 -0.18099175 1.53551285 0.35661459 0.05619604 0.9815655 1.23875564 0.46232287 -0.18721466 -0.17392121 -0.82427568], Predicted=0 X=[ 0.527639 -0.18099175 1.61815239 1.24391904 0.05619604 1.4814067 0.41510463 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=0 X=[ 2.66089123 0.51356116 0.37855928 -0.9250474 0.74282884 0.89335823 4.83928716 0.59273142 -0.58460464 1.84160389 -0.82427568], Predicted=0 X=[ 1.00169505e+00 -5.77879122e-01 7.09117443e-01 -8.85611643e-01 2.85073639e-01 -1.48823805e+00 -1.20866448e+00 -6.11039762e-01 7.40028640e-01 1.34184656e-03 1.04489089e+00], Predicted=0 X=[-0.18344508 -1.27243203 0.37855928 -0.9250474 -0.40155916 -0.90018958 -1.27926314 -1.1928625 -0.6508363 0.35186795 0.71981845], Predicted=0 X=[ 1.35723709 0.91044854 -0.1999175 -0.3335111 -0.35578364 -1.89987197 -0.26734905 -0.72472926 -1.90923792 2.01686694 1.28869523], Predicted=0 X=[-1.01304317 0.01745194 -0.53047566 -0.45181836 0.01042052 0.86395581 0.20330866 -0.92535779 0.54133365 0.61476253 0.88235467], Predicted=0 X=[-0.65750113 -0.47865728 -0.94367336 -0.52083092 -0.31000812 0.09949281 -0.5262108 -0.44384932 0.27640699 0.08897337 0.15094166], Predicted=0 X=[ 0.29061097 0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474 0.13271 -0.33015982 -0.38590965 -0.78734189 -0.74300757], Predicted=0 X=[-1.84264125 1.15850315 -2.18326647 -1.0039189 -0.4931102 -0.5473605 -0.8556712 -0.67791594 2.06466192 -1.22549952 0.06967355], Predicted=0 X=[-1.13155718 -0.0817699 -0.36519658 0.98758664 -0.44733468 -0.25333627 -0.54974368 0.29178862 1.07118696 -0.08628968 -0.01159456], Predicted=0 X=[ 0.76466702 0.01745194 0.6264779 -1.0039189 -0.08113052 -1.4294332 -0.29088194 -0.36694172 0.60756531 -0.34918426 -0.17413078], Predicted=0 X=[-0.53898711 -0.9747665 1.20495468 2.2889665 0.37662468 1.21678489 1.05049255 2.12419587 -1.37938461 1.05292016 -1.6369568 ], Predicted=0 X=[-1.01304317 1.70422329 2.60982687 0.65238274 1.5667882 -1.4294332 0.48570329 0.52585524 -0.98199462 -0.08628968 -0.90554379], Predicted=0 X=[-0.30195909 0.31511748 -0.44783612 -0.98420103 -0.4931102 -0.42975081 -0.73800677 -1.89506236 -1.24692128 -0.78734189 2.18264446], Predicted=1 X=[ 0.17209696 -0.37943543 -0.11727796 -1.0039189 -0.40155916 0.2171025 -0.3614806 -0.67791594 -0.12098299 -0.61207884 0.55728222], Predicted=0 X=[-0.06493106 -1.17321019 0.2132802 -1.0039189 -0.53888572 -0.19453143 -0.94980274 -1.15273679 -1.11445795 0.79002558 0.63855033], Predicted=0 X=[ 4.09124986e-01 -1.80991745e-01 -7.78394281e-01 1.20000067e-01 -1.04241644e+00 -9.58994430e-01 -1.96750396e-01 -7.58167351e-01 -3.19677985e-01 1.34184656e-03 1.85757201e+00], Predicted=1 X=[-0.4204731 0.41433932 1.20495468 0.31717883 -0.90508988 -1.01779928 -1.1851316 -0.86516923 0.21017533 2.63028763 1.7763039 ], Predicted=1 X=[-2.19818329 0.51356116 -1.4395106 -0.96448315 0.14774708 -1.48823805 -0.97333563 -0.7782302 1.93219859 -0.43681578 0.15094166], Predicted=0 X=[-0.65750113 0.61278301 -0.03463842 -0.35322897 -0.53888572 -0.95899443 -1.37339468 -0.7782302 1.26988195 0.79002558 1.20742712], Predicted=0 X=[-0.18344508 0.01745194 -0.44783612 -0.78702226 -1.54594716 0.04068796 -0.90273697 -1.13267394 0.47510198 -0.87497341 0.96362278], Predicted=1 X=[-1.01304317 0.71200485 1.45287331 -1.02363678 -0.76776332 -1.48823805 -0.8556712 -1.24636344 1.79973526 -0.61207884 1.126159 ], Predicted=0 X=[-1.25007119 0.21589563 -0.53047566 -0.9250474 -1.45439612 0.56993158 -0.80860543 -1.63424527 1.40234528 0.61476253 1.69503579], Predicted=1 X=[ 1.71277913 -1.17321019 0.29591974 0.29746096 -0.9508654 0.15829765 -0.73800677 -0.3234722 -1.71054293 -1.05023647 1.126159 ], Predicted=1 X=[ 1.71277913 -0.77632281 3.35358273 -0.38280579 -0.08113052 -0.13572658 -0.1967504 -0.54416359 0.40887032 -0.61207884 1.36996334], Predicted=0 X=[-1.13155718 -0.18099175 -1.0263129 1.20448328 -0.53888572 0.04068796 0.32097309 1.06086466 0.60756531 -0.52444731 -0.82427568], Predicted=0 X=[ 0.05358295 -0.47865728 -0.77839428 1.53968719 0.33084916 -0.95899443 -1.04393428 1.39524554 -0.12098299 0.08897337 -0.74300757], Predicted=0 X=[-1.25007119 0.01745194 -0.28255704 -0.96448315 -0.90508988 -0.25333627 -0.57327657 -1.50718053 0.87249197 0.96528863 1.61376767], Predicted=1 X=[-0.06493106 -0.67710097 -0.1999175 -0.68843288 0.01042052 0.27590734 -0.40854637 -0.91198256 -0.78329963 1.40344626 0.31347789], Predicted=0 X=[-0.30195909 -0.0817699 -0.69575474 -1.02363678 -0.58466124 0.04068796 -0.64387523 -1.62087003 -0.18721466 -1.05023647 1.53249956], Predicted=0 X=[ 0.29061097 -0.0817699 -0.1999175 2.32840225 0.01042052 1.15798004 2.67426167 1.99713113 -0.78329963 0.61476253 -1.47442057], Predicted=0 X=[ 0.527639 -0.28021359 -0.36519658 0.21858945 0.14774708 0.15829765 0.46217041 0.82679804 1.60104027 -0.96260494 -0.74300757], Predicted=0 X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173 -1.13806583 -1.18951869 -2.04170125 -0.17392121 0.55728222], Predicted=0 X=[-0.65750113 1.30733592 -0.94367336 0.1791537 -0.4931102 -0.72377504 -0.50267791 -0.77154259 0.077712 -0.87497341 1.15866625], Predicted=0 X=[-0.53898711 0.51356116 -0.44783612 -0.47153623 -0.2642326 -0.6649702 -1.3498618 -1.24636344 0.47510198 1.31581474 1.69503579], Predicted=1 X=[ 1.00169505 -0.18099175 -0.1999175 -1.0039189 -0.12690604 0.68754127 0.39157175 -0.10946844 1.53480861 0.08897337 -0.33666701], Predicted=0 X=[ 1.12020906 -0.37943543 -1.27423152 0.06084644 0.01042052 -0.13572658 0.50923618 0.75992186 0.077712 0.61476253 -0.58047134], Predicted=0 X=[-1.01304317 -0.18099175 -1.52215014 -1.0039189 0.6512778 0.92276066 0.36803886 -0.16296938 -0.31967798 0.1766049 -1.47442057], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[ 0.76466702 0.51356116 0.37855928 0.45520397 3.67246211 0.80515096 1.42701872 1.03077038 -1.37938461 0.70239405 -0.90554379], Predicted=0 X=[-0.53898711 -0.57787912 -0.11727796 -0.29407534 0.01042052 0.86395581 0.41510463 -0.29003411 1.26988195 0.527131 0.55728222], Predicted=0 X=[ 0.88318104 2.3987762 1.28759423 1.50025143 -0.53888572 0.09949281 0.41510463 0.59273142 -0.31967798 -0.96260494 1.04489089], Predicted=0 X=[ 0.64615301 -0.37943543 -0.94367336 0.8495615 -0.17268156 -0.5473605 -1.3498618 0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=0 X=[ 0.527639 -0.18099175 -0.1999175 -0.94476527 -0.2642326 0.2171025 0.81516369 -0.74479212 0.01148034 0.1766049 0.71981845], Predicted=0 X=[ 0.527639 -0.87554465 -0.69575474 -0.98420103 0.23929812 0.33471219 -0.73800677 -0.06934273 2.26335691 1.49107779 -0.01159456], Predicted=0 X=[ 1.59426511 -0.0817699 0.46119882 0.27774308 -0.31000812 0.80515096 1.63881469 1.19461701 0.8062603 0.1766049 -0.82427568], Predicted=0 X=[-1.48709922e+00 4.14339320e-01 -3.46384190e-02 1.98871573e-01 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=0 X=[ 2.30534919 0.71200485 1.28759423 -1.06307253 -0.44733468 -1.25301866 -1.93818394 -0.67791594 -1.51184794 -1.40076257 -0.01159456], Predicted=0 X=[-0.4204731 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=0 X=[-0.18344508 1.90266698 0.04800112 0.49463972 -0.12690604 -0.25333627 0.79163081 0.79335995 0.21017533 0.96528863 -1.06808001], Predicted=0 X=[-0.4204731 -0.0817699 -1.19159198 0.04112856 -0.035355 3.68658844 0.86222946 -0.12953129 -0.18721466 -1.31313104 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1.126159 ], Predicted=0 X=[-1.25007119 0.11667379 -1.0263129 -0.74758651 -0.9508654 -1.37062835 -0.43207925 -1.54730624 1.33611362 2.63028763 2.83278935], Predicted=1 X=[-0.30195909 -0.18099175 -1.0263129 -0.68843288 -0.90508988 0.74634612 -0.29088194 -1.04907872 0.21017533 -0.96260494 0.63855033], Predicted=0 X=[-0.77601514 -0.28021359 0.87439652 1.85517321 0.51395124 0.2171025 0.67396638 1.3417446 -0.31967798 0.1766049 -1.06808001], Predicted=0 X=[-1.01304317 -1.76854125 -0.77839428 -1.04335466 -0.21845708 -1.19421382 -1.72638797 -0.44384932 2.79321022 1.05292016 -0.17413078], Predicted=0 X=[ 1.4757511 2.20033252 1.12231514 -1.04335466 -0.40155916 -0.72377504 -0.29088194 -0.07603035 0.14394366 -0.61207884 0.31347789], Predicted=0 X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332 0.9815655 -0.45561214 -1.533931 -1.04822629 -1.40076257 1.93884012], Predicted=1 X=[-1.84264125 0.41433932 -0.86103382 0.6425238 -0.90508988 -0.5473605 -0.45561214 -0.78491782 -0.05475133 0.35186795 1.36996334], Predicted=1 X=[ 0.527639 0.01745194 0.70911744 1.57912294 -0.2642326 0.80515096 0.81516369 1.7965026 0.60756531 2.8931822 -1.23061624], Predicted=0 X=[ 0.17209696 -0.67710097 -0.94367336 -0.25463959 0.10197156 0.15829765 0.69749926 0.15803627 1.0049553 0.00134185 -0.09286267], Predicted=0 X=[ 0.64615301 0.21589563 1.28759423 0.35661459 0.4224002 0.80515096 1.16815698 1.12774083 2.19712525 0.79002558 -0.66173945], Predicted=0 X=[ 0.29061097 1.10889223 0.46119882 0.92843301 -0.53888572 -0.60616535 1.54468315 0.71310854 -0.91576296 0.26423642 -0.41793512], Predicted=0 X=[ 0.17209696 0.01745194 0.46119882 0.45520397 0.23929812 -0.19453143 0.06211135 0.69304568 1.26988195 0.35186795 -0.01159456], Predicted=0 X=[-1.01304317 -1.17321019 -0.28255704 0.06084644 -0.12690604 0.45232188 0.34450598 0.3586648 2.92567355 -0.26155273 0.06967355], Predicted=0 X=[ 0.17209696 -1.37165388 0.54383836 -0.9250474 -0.4931102 -1.13540897 -1.25573025 -0.97885873 0.01148034 -0.61207884 1.04489089], Predicted=0 X=[ 1.94980715 -0.87554465 1.86607101 2.15094136 0.4224002 0.68754127 0.72103215 2.15429015 -0.78329963 1.57870931 -0.9868119 ], Predicted=0 X=[-0.53898711 -0.57787912 1.86607101 1.59884082 0.4224002 -0.48855566 0.48570329 1.32836936 -1.37938461 -0.78734189 -1.14934812], Predicted=0 X=[-0.18344508 -0.28021359 -0.03463842 -0.68843288 0.51395124 0.9815655 0.81516369 -0.2097827 -1.11445795 -0.08628968 -0.82427568], Predicted=0 X=[ 0.17209696 0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=0 X=[ 0.05358295 0.01745194 0.6264779 -0.9250474 0.1935226 -1.48823805 -0.05555308 -0.34353506 -0.18721466 1.92923542 0.71981845], Predicted=0 X=[-0.30195909 2.79566358 -1.4395106 -0.64899712 -0.035355 -0.42975081 -1.09100005 -0.00915417 -0.45214131 -1.22549952 -1.14934812], Predicted=0 X=[-0.06493106 -0.87554465 -0.11727796 0.129859 -1.22551852 1.09917519 1.16815698 -0.17634461 0.40887032 -1.05023647 0.47601411], Predicted=0 X=[-0.65750113 0.91044854 -0.44783612 -0.01802507 -0.53888572 0.56993158 0.32097309 -0.64447785 0.67379698 -0.26155273 0.88235467], Predicted=0 X=[ 0.29061097 -0.9747665 3.35358273 1.81573746 -0.08113052 0.51112673 0.88576235 1.86337878 1.26988195 1.57870931 -1.23061624], Predicted=0 X=[-0.18344508 -0.28021359 0.04800112 1.27349585 0.10197156 -0.31214112 0.53276906 1.52899789 1.66727194 -0.17392121 -0.82427568], Predicted=0 X=[-1.13155718 -0.47865728 -0.44783612 0.43548609 0.01042052 0.09949281 0.08564423 0.09784771 0.27640699 0.35186795 0.06967355], Predicted=0 X=[-1.96115527 0.56317209 -1.10895244 -0.9250474 -0.58466124 -1.07660412 -1.514592 -1.33999009 1.0049553 -0.08628968 1.45123145], Predicted=0 X=[ 1.00169505 0.21589563 -0.86103382 -0.86589377 1.01748196 -0.42975081 -0.00848731 -0.06934273 -0.51837298 1.14055168 -0.58047134], Predicted=0 X=[ 1.4757511 0.21589563 -0.1999175 -1.04335466 -0.21845708 0.80515096 -0.3614806 -0.87854447 -1.31315295 -0.34918426 0.47601411], Predicted=0 X=[ 0.64615301 0.51356116 0.87439652 0.23830733 0.1935226 0.27590734 2.08593952 0.92376849 -0.45214131 0.26423642 -1.23061624], Predicted=0 X=[-0.53898711 -0.0817699 -1.35687106 0.39605034 -0.08113052 1.45200427 1.40348584 0.5860438 0.14394366 -0.17392121 -0.90554379], Predicted=0 X=[ 0.527639 1.40655776 0.37855928 0.08056431 -0.035355 -0.37094597 -0.38501348 -0.5107255 0.01148034 -1.05023647 1.69503579], Predicted=0 X=[ 0.29061097 0.41433932 0.04800112 1.59884082 -0.31000812 0.62873642 0.27390732 0.32522671 1.26988195 0.08897337 1.61376767], Predicted=1 X=[-1.84264125 1.50577961 -1.8527083 -1.04335466 -0.76776332 -1.72345743 -2.05584837 -1.09254824 2.13089358 -0.08628968 0.55728222], Predicted=0 X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=0 X=[-1.48709922 -0.18099175 -1.27423152 -0.98420103 -0.53888572 -1.01779928 -0.07908597 -0.76485497 0.87249197 -1.22549952 -0.2553989 ], Predicted=0 X=[-0.77601514 -1.57009756 -0.6131152 -0.13633233 -0.08113052 1.21678489 0.46217041 0.3586648 2.19712525 -1.05023647 -0.01159456], Predicted=0 X=[-0.4204731 -0.9747665 0.04800112 -0.94476527 -0.2642326 0.45232188 0.22684155 -0.94542065 0.87249197 0.87765711 0.80108656], Predicted=0 X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=0 X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351 -0.24381617 -0.7782302 0.01148034 0.00134185 0.71981845], Predicted=0 X=[ 0.05358295 0.01745194 -0.03463842 -1.02363678 -0.31000812 -1.13540897 -0.94980274 -1.21292535 -0.78329963 -0.87497341 0.96362278], Predicted=0 X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=0 X=[-2.19818329 -0.37943543 -1.0263129 -0.82645801 -0.31000812 -0.25333627 -0.90273697 -1.01898444 3.32306354 1.14055168 0.96362278], Predicted=1 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[-0.53898711 0.11667379 0.87439652 -0.55040774 7.05985058 2.33407697 1.00342678 0.05772201 -1.11445795 -0.69971036 -1.14934812], Predicted=0 X=[ 0.527639 -0.18099175 -0.03463842 1.06645815 0.51395124 0.74634612 -0.26734905 0.97058182 -0.58460464 0.527131 -0.41793512], Predicted=0 X=[-0.89452915 -0.57787912 1.0396756 -0.90532952 5.22882979 -0.07692173 -1.514592 -1.88168712 0.01148034 -1.40076257 2.34518068], Predicted=0 X=[-0.30195909 1.20811407 -0.28255704 -0.21520384 -0.35578364 -0.90018958 -0.31441482 -0.6645407 1.13741862 2.10449847 1.69503579], Predicted=1 X=[-0.77601514 0.71200485 -0.69575474 2.36783801 0.23929812 -0.42975081 1.02695966 1.81656545 -0.38590965 1.14055168 -0.9868119 ], Predicted=0 X=[ 0.88318104 2.59721989 -0.86103382 -0.86589377 -0.76776332 -1.31182351 0.29744021 -0.31009697 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-0.58460464 -0.96260494 1.20742712], Predicted=0 X=[-1.48709922e+00 -7.76322810e-01 2.13280202e-01 -7.67304383e-01 1.01971559e-01 -1.13540897e+00 -3.14414825e-01 -4.03723614e-01 1.99843026e+00 1.34184656e-03 -4.17935119e-01], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 -0.80674014 -0.58466124 -0.37094597 -0.8556712 -1.079173 0.47510198 0.43949948 1.45123145], Predicted=1 X=[-1.13155718 -0.77632281 -0.44783612 -1.06307253 -0.12690604 0.56993158 -0.90273697 -1.23633202 1.40234528 -0.69971036 0.71981845], Predicted=0 X=[ 0.29061097 0.8112267 0.54383836 -0.8757527 -0.58466124 -0.5473605 -0.47914502 -1.56736909 0.077712 -0.34918426 2.42644879], Predicted=1 X=[-0.89452915 -1.17321019 -0.53047566 1.22420116 0.83437988 1.62841881 0.55630195 1.7965026 3.12436854 -0.52444731 -1.31188435], Predicted=0 X=[-0.18344508 -0.47865728 -0.1999175 -0.84617589 0.01042052 -0.31214112 -0.99686851 -0.47728741 0.93872363 1.31581474 0.15094166], Predicted=0 X=[ 0.17209696 0.61278301 0.46119882 0.10028219 0.92593092 0.45232188 0.55630195 0.52919905 -0.51837298 0.35186795 -0.82427568], Predicted=0 X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=0 X=[ 0.17209696 -0.37943543 0.2132802 -0.29407534 1.70411476 -1.48823805 -0.12615174 0.05772201 0.93872363 -1.05023647 0.23220977], Predicted=0 X=[-0.18344508 -0.28021359 3.35358273 2.56501677 0.37662468 0.51112673 0.72103215 2.13088348 2.13089358 -0.34918426 -0.58047134], Predicted=0 X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=0 X=[-1.72412724 2.49799805 -1.4395106 -0.72786863 -0.44733468 -0.07692173 -0.24381617 -1.82818618 0.077712 0.35186795 2.18264446], Predicted=0 X=[-2.19818329 0.71200485 -0.69575474 0.27774308 -0.67621228 -0.6649702 -0.5262108 -0.54081978 1.33611362 -0.78734189 0.63855033], Predicted=0 X=[-0.53898711 0.41433932 -0.69575474 -0.27435747 0.4224002 -0.42975081 -0.00848731 -0.7748864 0.54133365 0.08897337 1.53249956], Predicted=0 X=[-0.4204731 -0.47865728 -0.03463842 1.46081568 -0.17268156 -0.60616535 0.01504558 0.97726944 1.07118696 0.61476253 -0.09286267], Predicted=0 X=[-0.4204731 -1.17321019 -0.03463842 -1.06307253 -0.85931436 -0.72377504 -1.49105911 -1.079173 0.74002864 -0.87497341 0.71981845], Predicted=0 X=[-0.18344508 -1.57009756 0.2132802 -0.80674014 -0.31000812 0.45232188 -0.31441482 -0.58094548 -0.78329963 1.57870931 -0.33666701], Predicted=0 X=[ 1.71277913 0.01745194 0.95703606 0.27774308 0.60550228 -0.19453143 0.01504558 1.06086466 0.93872363 2.45502457 0.55728222], Predicted=0 X=[ 4.08305938 -1.07398834 1.12231514 -0.98420103 -0.40155916 -1.78226228 -2.47944031 -0.04259226 -1.97546959 -1.8389202 -0.74300757], Predicted=0 X=[-0.06493106 -0.0817699 -1.77006876 -1.0039189 -0.2642326 3.03973513 0.69749926 -0.67791594 -0.05475133 -0.69971036 -0.41793512], Predicted=0 X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534 0.05619604 0.39351704 -0.1967504 -0.40037981 -0.45214131 0.61476253 0.394746 ], Predicted=0 X=[ 0.40912499 -0.47865728 -0.11727796 0.41576822 0.55972676 0.68754127 1.12109121 0.52585524 0.01148034 -0.78734189 -0.49920323], Predicted=0 X=[ 2.77940524 -1.27243203 2.85774549 -0.94476527 0.01042052 -0.78257989 -0.1967504 0.25835054 -1.11445795 -0.34918426 -0.09286267], Predicted=0 X=[-0.18344508 -0.0817699 -0.03463842 -0.55040774 -0.53888572 -1.54704289 -2.19704569 -0.86516923 -0.71706797 -0.78734189 -0.01159456], Predicted=0 X=[ 0.40912499 -0.67710097 0.2132802 1.83545534 -0.035355 1.92244304 1.05049255 1.73631404 0.40887032 2.36739305 -0.90554379], Predicted=0 X=[ 1.83129314 2.99410727 -0.53047566 1.13547071 -0.58466124 0.09949281 -0.5262108 0.62616951 -1.31315295 -0.87497341 0.23220977], Predicted=0 X=[-1.25007119 0.41433932 -0.1999175 -0.72786863 0.14774708 -0.60616535 0.34450598 -1.12264251 1.66727194 2.10449847 1.36996334], Predicted=1 X=[-1.84264125 -0.37943543 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X=[-1.48709922 -0.32982451 -0.11727796 -1.04335466 0.05619604 -0.6649702 0.32097309 -0.44384932 -0.45214131 -0.61207884 -0.9868119 ], Predicted=0 X=[ 3.25346129e+00 -4.78657278e-01 5.43838363e-01 -9.64483150e-01 -8.11305203e-02 -9.58994430e-01 -7.90859669e-02 -1.09468437e-01 -1.51184794e+00 1.34184656e-03 3.13477887e-01], Predicted=0 X=[-0.4204731 -0.87554465 0.04800112 -0.94476527 -0.76776332 0.2171025 -0.5262108 -1.50049291 0.14394366 1.66634084 1.61376767], Predicted=1 X=[ 1.23872307 -0.87554465 -0.6131152 -0.84617589 -0.31000812 -1.60584774 0.10917712 0.05772201 -0.91576296 2.19213 -0.58047134], Predicted=0 X=[ 0.64615301 -0.0817699 -0.1999175 -0.78702226 -1.45439612 -1.19421382 0.10917712 -1.03235968 -1.04822629 1.40344626 1.20742712], Predicted=0 X=[-0.30195909 1.00967039 0.2132802 0.55379335 0.69705332 0.39351704 1.78001201 1.19461701 0.8062603 0.61476253 -0.90554379], Predicted=0 X=[-0.18344508 0.31511748 -0.03463842 -0.86589377 -0.58466124 -1.37062835 -1.514592 -1.13267394 0.67379698 1.40344626 1.61376767], Predicted=1 X=[-1.96115527 -0.77632281 -0.53047566 -0.62927925 0.05619604 -1.13540897 -1.06746717 -0.56088263 1.66727194 0.35186795 -0.33666701], Predicted=0 X=[ 0.88318104 0.11667379 -0.36519658 -0.39266473 0.23929812 -0.5473605 0.17977578 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=0 X=[ 0.29061097 2.49799805 -0.77839428 -1.10250829 -0.76776332 -0.37094597 -1.23219737 -0.34353506 -0.18721466 -1.48839409 -1.14934812], Predicted=0 X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01 -2.64232600e-01 3.34712191e-01 1.75647912e+00 -4.43849321e-01 6.07565312e-01 1.34184656e-03 1.04489089e+00], Predicted=0 X=[ 1.71277913 2.10111067 0.79175698 -0.76730438 -0.44733468 -0.19453143 -0.5262108 0.12459818 0.27640699 -0.17392121 0.15094166], Predicted=0 X=[ 0.17209696 0.31511748 1.53551285 -0.9250474 -0.76776332 -1.78226228 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=0 X=[-1.01304317 -0.87554465 -0.6131152 -0.98420103 -0.31000812 -0.31214112 -0.80860543 -1.35336532 0.87249197 -0.69971036 1.53249956], Predicted=1 X=[-0.77601514 2.49799805 -2.59646417 -1.08279041 -0.4931102 -1.72345743 -1.3498618 -0.56422644 0.34263866 -1.22549952 -0.82427568], Predicted=0 X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[ 0.17209696 -0.47865728 -0.44783612 -0.72786863 0.33084916 -1.13540897 -1.09100005 -0.10278082 -0.05475133 0.61476253 -0.9868119 ], Predicted=0 X=[-0.65750113 -0.0817699 -0.86103382 -0.68843288 0.05619604 -1.31182351 -0.90273697 -0.14290653 0.60756531 -0.52444731 -0.58047134], Predicted=0 X=[ 0.17209696 -0.77632281 0.29591974 -0.86589377 -0.7219878 -0.5473605 -0.05555308 -0.27665888 0.60756531 1.05292016 -0.2553989 ], Predicted=0 X=[-0.18344508 -1.07398834 0.29591974 -0.86589377 -0.31000812 -0.07692173 -0.31441482 -0.61103976 0.47510198 0.96528863 0.23220977], Predicted=0 X=[-0.30195909 0.8112267 1.12231514 -0.98420103 4.54219699 -0.5473605 -0.33794771 -0.43047409 -0.6508363 0.61476253 -0.33666701], Predicted=0 X=[ 0.40912499 -0.28021359 -1.19159198 0.31717883 -0.08113052 0.92276066 0.79163081 0.79335995 -0.18721466 -0.43681578 -1.06808001], Predicted=0 X=[-0.77601514 -0.67710097 0.04800112 0.04112856 -0.7219878 0.04068796 -1.11453294 -0.87854447 0.87249197 -0.34918426 1.61376767], Predicted=1 X=[ 0.527639 -0.18099175 -0.03463842 1.06645815 0.51395124 0.74634612 -0.26734905 0.97058182 -0.58460464 0.527131 -0.41793512], Predicted=0 X=[ 0.29061097 0.91044854 -0.11727796 -0.98420103 -0.40155916 -0.48855566 -0.29088194 -0.74479212 0.01148034 1.14055168 1.20742712], Predicted=0 X=[ 2.54237721 0.11667379 0.04800112 1.12561178 -0.7219878 -0.07692173 0.90929523 1.01405133 -0.38590965 -0.17392121 0.06967355], Predicted=0 X=[ 0.76466702 0.61278301 -0.77839428 -0.50111305 -0.67621228 -1.78226228 -2.45590743 -1.01898444 -1.18068962 -1.13786799 1.04489089], Predicted=0 X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504 -0.17321751 -0.79829306 0.40887032 -0.34918426 -0.58047134], Predicted=0 X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=0 X=[ 1.12020906 -0.57787912 0.37855928 0.77069 0.60550228 -0.42975081 -0.92626985 0.89367421 -0.45214131 -0.17392121 -0.41793512], Predicted=0 X=[ 1.00169505 -0.0817699 0.13064066 -0.21520384 -0.7219878 -0.31214112 -0.50267791 -0.67791594 -0.51837298 -0.61207884 1.36996334], Predicted=0 X=[ 0.05358295 -0.9747665 0.2132802 -1.0039189 -0.44733468 0.27590734 -0.50267791 -0.2097827 0.54133365 4.03239204 -0.82427568], Predicted=0 X=[-0.77601514 0.71200485 -0.1999175 -0.74758651 -0.44733468 0.09949281 -1.09100005 -1.55399385 0.54133365 0.35186795 1.85757201], Predicted=1 X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164 0.10197156 0.27590734 0.74456503 -0.07603035 2.99190522 0.43949948 -0.41793512], Predicted=0 X=[ 2.89791925 -0.77632281 -0.03463842 -0.9250474 0.1935226 -0.42975081 0.93282812 0.45897907 -0.18721466 -0.52444731 -1.23061624], Predicted=0 X=[-1.84264125 2.99410727 -2.18326647 0.10028219 -0.12690604 -0.07692173 0.25037443 0.12459818 1.0049553 0.70239405 -0.66173945], Predicted=0 X=[-0.4204731 1.10889223 3.93205951 -1.02363678 7.83803442 -1.25301866 -1.514592 -0.14290653 -0.71706797 0.35186795 -0.82427568], Predicted=0 X=[-0.4204731 -0.28021359 1.37023377 0.23830733 0.05619604 1.09917519 1.07402544 0.56598095 -0.12098299 -0.34918426 -1.06808001], Predicted=0 X=[-0.65750113 -1.27243203 0.04800112 0.98758664 0.1935226 -0.60616535 -0.99686851 1.17455416 0.14394366 0.00134185 -0.41793512], Predicted=0 X=[-0.18344508 0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702 -1.27926314 -1.04573491 -0.31967798 -1.13786799 0.96362278], Predicted=0 X=[ 1.35723709 -0.28021359 -1.68742922 2.13122349 -0.44733468 0.80515096 1.89767644 1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=0 X=[-1.3685852 -0.67710097 -0.77839428 -0.80674014 0.05619604 1.45200427 1.19168986 0.32522671 3.05813688 2.01686694 -0.33666701], Predicted=0 X=[-0.18344508 -0.77632281 0.6264779 0.53407548 -0.08113052 0.86395581 0.65043349 0.45897907 -0.31967798 0.79002558 -0.58047134], Predicted=0 X=[ 0.88318104 0.21589563 0.29591974 -0.94476527 1.88721684 -0.48855566 0.90929523 0.11791056 -0.6508363 0.08897337 -0.58047134], Predicted=0 X=[ 0.527639 -0.77632281 -0.36519658 2.66360616 -0.31000812 1.98124789 2.32126838 2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=0 X=[-0.53898711 -1.37165388 -0.44783612 0.29746096 0.51395124 -0.84138474 -1.32632891 0.07444105 0.47510198 -1.13786799 -0.41793512], Predicted=0 X=[-0.65750113 -0.18099175 1.28759423 -0.96448315 0.28507364 -0.07692173 -0.10261885 -0.54416359 -1.31315295 1.05292016 -0.58047134], Predicted=0 X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295 0.01042052 0.2171025 0.29744021 0.22825626 2.72697856 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0.14394366 0.26423642 0.55728222], Predicted=0 X=[ 1.4757511 -0.77632281 0.54383836 -0.86589377 -0.40155916 -0.95899443 -1.20866448 -0.64447785 -0.45214131 0.43949948 0.55728222], Predicted=0 X=[-0.53898711 -1.17321019 0.87439652 -1.02363678 0.23929812 0.2171025 -0.38501348 -1.15273679 -0.51837298 2.27976152 0.63855033], Predicted=0 X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=0 X=[-1.25007119 -0.37943543 -0.44783612 -0.98420103 -0.35578364 0.27590734 -1.46752623 -2.31303846 -0.58460464 -1.75128867 2.75152124], Predicted=1 X=[ 0.17209696 -1.17321019 3.27094319 -1.06307253 4.22176835 1.33439458 0.27390732 -0.14290653 -0.71706797 -1.66365715 -1.06808001], Predicted=0 X=[-0.30195909 0.11667379 3.27094319 -0.82645801 -0.85931436 -0.84138474 -1.09100005 -1.34667771 -0.45214131 -0.08628968 1.53249956], Predicted=0 X=[-1.48709922 1.30733592 -0.94367336 0.13971794 0.1935226 0.51112673 0.36803886 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0.41510463 -1.01229682 0.67379698 0.26423642 1.85757201], Predicted=0 X=[ 0.64615301 0.11667379 -0.36519658 -0.94476527 -0.035355 1.04037035 0.97989389 -0.14290653 1.0049553 1.66634084 -0.01159456], Predicted=0 X=[-1.3685852 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 -1.04393428 -1.01229682 1.53480861 -0.61207884 1.04489089], Predicted=0 X=[-0.4204731 -0.18099175 -0.1999175 -1.0039189 -0.53888572 1.39319943 0.15624289 -1.533931 -0.18721466 0.43949948 1.53249956], Predicted=1 X=[ 1.59426511 -0.9747665 -0.44783612 0.41576822 -0.4931102 0.33471219 0.03857846 0.39210289 -0.98199462 -1.05023647 -0.33666701], Predicted=0 X=[ 0.40912499 -0.37943543 -0.77839428 -0.9250474 -0.035355 -1.01779928 0.53276906 -0.69129117 0.40887032 0.35186795 0.55728222], Predicted=0 X=[-1.3685852 0.41433932 -1.27423152 -0.98420103 -0.76776332 -0.5473605 -0.80860543 -1.14604918 1.66727194 -1.05023647 0.394746 ], Predicted=0 X=[-0.4204731 -0.67710097 0.29591974 -0.76730438 0.10197156 2.04005274 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0.92276066 1.21522275 1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=0 X=[ 0.40912499 -0.18099175 0.54383836 -0.01802507 0.05619604 0.9815655 0.79163081 0.56932476 -0.05475133 0.35186795 -0.82427568], Predicted=0 X=[ 0.527639 -0.77632281 -0.6131152 -0.94476527 -0.2642326 0.04068796 -0.3614806 -0.5508512 1.0049553 -0.43681578 0.23220977], Predicted=0 X=[ 1.35723709 -0.0817699 -0.77839428 -1.02363678 -0.08113052 -0.90018958 -0.8556712 -0.37697314 0.60756531 -0.61207884 0.31347789], Predicted=0 X=[-0.77601514 1.90266698 -1.19159198 0.37633246 -0.76776332 -0.6649702 0.08564423 -0.67791594 0.21017533 -0.34918426 1.45123145], Predicted=0 X=[-0.30195909 -1.07398834 0.37855928 -0.96448315 -0.63043676 -0.42975081 -0.62034234 -0.87854447 0.40887032 0.527131 0.71981845], Predicted=0 X=[ 0.29061097 -0.47865728 -0.44783612 -0.88561164 0.01042052 -0.13572658 -0.83213831 -1.35670913 -0.45214131 -1.57602562 1.20742712], Predicted=0 X=[-0.30195909 0.01745194 -0.44783612 0.41576822 0.28507364 1.15798004 1.70941335 0.72648377 -0.6508363 0.527131 -1.31188435], Predicted=0 X=[-0.53898711 1.30733592 -2.67910371 -0.05746082 0.10197156 -0.90018958 -1.60872354 -0.13621891 0.01148034 -0.61207884 -0.41793512], Predicted=0 X=[-0.30195909 -0.67710097 1.28759423 2.31854331 -0.17268156 0.33471219 0.46217041 1.89681687 0.60756531 -0.87497341 -1.47442057], Predicted=0 X=[-0.4204731 0.01745194 -0.6131152 0.47492185 -0.2642326 0.51112673 0.01504558 0.52585524 0.87249197 -1.05023647 -0.2553989 ], Predicted=0 X=[ 1.83129314 -0.87554465 0.70911744 -0.94476527 0.05619604 -1.54704289 -0.87920408 -0.00915417 -0.8495313 1.40344626 0.47601411], Predicted=0 X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=0 X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=0 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[ 1.12020906 1.20811407 -0.6131152 0.61294698 0.60550228 -0.19453143 0.93282812 0.49241715 -0.98199462 -0.52444731 0.31347789], Predicted=0 X=[ 0.05358295 2.3987762 1.70079193 0.29746096 -0.44733468 -0.72377504 0.72103215 -0.45388075 0.47510198 -0.17392121 1.36996334], Predicted=0 X=[-1.25007119 0.21589563 0.37855928 -0.29407534 -0.31000812 -0.78257989 -1.23219737 -1.47039863 0.27640699 0.79002558 2.10137634], Predicted=1 X=[ 0.17209696 -0.47865728 0.70911744 -0.25463959 -0.17268156 0.09949281 0.13271 0.38541527 2.06466192 0.87765711 -0.2553989 ], Predicted=0 X=[-0.65750113 0.51356116 0.70911744 2.13122349 -0.40155916 1.27558973 0.74456503 1.60924931 0.47510198 0.70239405 -0.90554379], Predicted=0 X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=0 X=[-0.89452915 -0.87554465 0.29591974 -0.74758651 -0.21845708 -0.6649702 -0.92626985 -0.83507495 -0.05475133 0.08897337 0.31347789], Predicted=0 X=[-0.30195909 0.71200485 0.13064066 -0.0771787 0.78860436 -0.25333627 0.27390732 0.44894764 -0.58460464 -0.17392121 -0.90554379], Predicted=0 X=[ 0.40912499 -0.87554465 0.46119882 -1.02363678 -0.44733468 -0.19453143 -1.25573025 -0.74479212 -0.18721466 0.08897337 -0.01159456], Predicted=0 X=[ 1.12020906 0.41433932 -0.03463842 0.79040787 -0.67621228 0.68754127 1.30935429 0.96723801 -0.78329963 0.79002558 -0.74300757], Predicted=0 X=[-0.65750113 -1.57009756 0.2132802 -0.84617589 -0.08113052 0.68754127 0.17977578 -0.87854447 0.54133365 2.19213 0.71981845], Predicted=1 X=[-1.01304317 -0.77632281 0.37855928 -1.0039189 -0.53888572 0.09949281 -0.80860543 -1.7980919 -0.51837298 0.26423642 1.7763039 ], Predicted=1 X=[-0.18344508 0.31511748 -0.28255704 -0.84617589 -0.35578364 -1.01779928 -0.1967504 -0.41041123 1.13741862 1.22818321 0.06967355], Predicted=0 X=[-0.18344508 -0.9747665 0.29591974 -1.0039189 -0.85931436 0.39351704 -0.31441482 -1.55065005 0.34263866 -1.05023647 1.85757201], Predicted=1 X=[ 0.05358295 -1.17321019 -0.28255704 0.63266486 0.51395124 0.86395581 1.09755832 1.26149319 1.33611362 -0.96260494 -0.74300757], Predicted=0 X=[-0.18344508 -0.37943543 -0.6131152 -0.19548596 -0.7219878 -1.19421382 -1.04393428 -1.19620631 -0.25344632 -0.96260494 1.7763039 ], Predicted=1 X=[ 0.88318104 0.31511748 -0.6131152 -0.9250474 1.24635956 0.27590734 0.43863752 -0.07603035 -0.58460464 -0.26155273 -0.58047134], Predicted=0 X=[ 0.40912499 4.03593663 -1.0263129 0.61294698 1.109033 -0.13572658 0.79163081 1.02742657 -1.24692128 0.527131 -1.14934812], Predicted=0 X=[ 0.05358295 0.01745194 -0.28255704 -0.94476527 0.05619604 0.62873642 -0.14968462 -0.74479212 1.07118696 -0.96260494 0.47601411], Predicted=0 X=[-0.4204731 -0.0817699 -0.6131152 0.35661459 -0.17268156 -0.84138474 -0.12615174 0.6997333 1.60104027 1.31581474 -0.58047134], Predicted=0 X=[ 0.05358295 -0.67710097 -0.03463842 -0.90532952 -0.53888572 0.74634612 -0.05555308 -1.3801158 0.40887032 -0.69971036 1.69503579], Predicted=1 X=[-0.53898711 -0.77632281 -0.94367336 0.19887157 -0.63043676 1.04037035 0.79163081 0.00422106 0.34263866 0.79002558 0.394746 ], Predicted=0 X=[-0.65750113 -0.0817699 1.28759423 -1.02363678 0.78860436 -0.01811689 -1.09100005 -0.97885873 1.26988195 -0.61207884 1.36996334], Predicted=0 X=[-1.01304317 -0.0817699 -0.44783612 -0.31379322 0.78860436 -0.25333627 1.47408449 0.79335995 3.32306354 1.92923542 -0.41793512], Predicted=0 X=[-0.77601514 -0.37943543 -0.94367336 0.29746096 0.33084916 0.56993158 0.25037443 0.47569811 0.27640699 0.26423642 -0.9868119 ], Predicted=0 X=[-0.06493106 0.31511748 -1.19159198 -0.57012562 1.84144132 -0.31214112 -0.1967504 -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=0 X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=0 X=[-1.48709922 -0.37943543 0.04800112 -0.86589377 -0.21845708 -1.25301866 -1.53812488 -1.41021007 -0.98199462 -0.34918426 0.88235467], Predicted=0 X=[ 0.527639 1.30733592 -0.77839428 0.08056431 0.51395124 0.33471219 0.57983483 0.29178862 0.077712 -0.69971036 -0.49920323], Predicted=0 X=[-0.4204731 1.45616868 0.54383836 1.32279054 -0.35578364 1.39319943 2.41539992 1.29493128 0.27640699 0.70239405 -1.23061624], Predicted=0 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[ 0.64615301 1.60500145 -1.10895244 1.00730452 0.14774708 0.51112673 0.43863752 1.32836936 0.54133365 -0.43681578 -1.23061624], Predicted=0 X=[-1.3685852 1.60500145 -1.68742922 0.12000007 -0.9508654 -0.42975081 0.81516369 -0.91198256 0.93872363 -0.08628968 1.61376767], Predicted=1 X=[ 0.88318104 -0.67710097 1.28759423 -0.76730438 0.05619604 -0.90018958 -0.1967504 -0.75147973 -0.25344632 -0.08628968 0.47601411], Predicted=0 X=[-1.01304317 -0.37943543 0.6264779 -1.0039189 -0.44733468 0.39351704 -0.47914502 -1.28648915 -0.98199462 1.31581474 1.00425684], Predicted=0 X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=0 X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=0 X=[-0.53898711 -0.18099175 -1.0263129 0.13971794 -0.2642326 -0.01811689 0.55630195 0.52585524 1.33611362 0.79002558 -0.49920323], Predicted=0 X=[ 1.4757511 -0.0817699 0.6264779 -0.97434209 -0.58466124 -1.4294332 -1.77345374 -1.079173 -1.31315295 0.61476253 1.20742712], Predicted=0 X=[-1.25007119 0.01745194 2.69246641 0.53407548 -0.31000812 -0.5473605 0.48570329 0.82679804 3.12436854 0.527131 0.23220977], Predicted=0 X=[-0.65750113 -0.18099175 0.70911744 0.13971794 -0.035355 1.56961397 1.66234758 0.4723543 0.077712 0.35186795 -0.82427568], Predicted=0 X=[ 0.29061097 -0.57787912 -0.11727796 2.07206986 0.46817572 0.80515096 0.46217041 1.93025495 1.20365029 -0.96260494 -0.74300757], Predicted=0 X=[-1.3685852 -0.32982451 -0.03463842 -1.04335466 0.14774708 -0.42975081 0.27390732 -0.44384932 -0.38590965 -0.61207884 -0.9868119 ], Predicted=0 X=[-1.25007119 -0.47865728 -1.10895244 -0.86589377 -0.12690604 0.2171025 0.36803886 -0.59097691 0.14394366 -0.87497341 -0.2553989 ], Predicted=0 X=[ 2.30534919 0.8112267 0.87439652 -0.88561164 -0.2642326 -1.54704289 -0.40854637 0.42554098 0.01148034 -0.08628968 -0.49920323], Predicted=0 X=[-0.06493106 0.8112267 -0.77839428 -0.35322897 -0.31000812 -0.6649702 -0.33794771 -1.04573491 0.54133365 -1.31313104 1.69503579], Predicted=0 X=[-0.89452915 -0.37943543 -0.11727796 0.5143576 -0.67621228 0.33471219 -0.10261885 -0.56422644 0.40887032 -2.01418325 1.45123145], Predicted=1 X=[-0.30195909 -0.18099175 -0.44783612 0.59322911 -0.81353884 -1.31182351 -0.40854637 -0.49735026 -0.12098299 -1.31313104 1.28869523], Predicted=0 X=[-0.4204731 1.50577961 -0.44783612 1.1058939 0.46817572 -0.72377504 0.83869658 1.52899789 0.8062603 0.527131 -0.9868119 ], Predicted=0 X=[ 1.71277913 -0.47865728 0.79175698 -0.62927925 -0.4931102 -1.25301866 -0.87920408 -0.41041123 -0.25344632 -1.13786799 0.80108656], Predicted=0 X=[ 0.05358295 0.41433932 -0.6131152 0.37633246 0.33084916 -0.19453143 0.97989389 0.82679804 0.40887032 0.1766049 -1.06808001], Predicted=0 X=[-5.38987115e-01 -4.78657278e-01 2.95919742e-01 2.97460957e-01 1.93522599e-01 1.45200427e+00 2.73907319e-01 2.85101006e-01 -2.17416458e+00 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[ 1.94980715 -0.57787912 0.04800112 -1.12222616 -0.2642326 -1.78226228 -2.6677034 -0.74479212 -0.98199462 -1.05023647 -0.01159456], Predicted=0 X=[ 1.00169505 0.01745194 0.13064066 1.75658383 0.46817572 -0.25333627 -0.50267791 1.93025495 0.54133365 0.08897337 -0.74300757], Predicted=0 X=[ 0.40912499 -0.77632281 -0.28255704 -0.86589377 -0.31000812 0.45232188 1.16815698 -0.97885873 0.74002864 -0.69971036 1.20742712], Predicted=0 X=[-0.4204731 0.31511748 -1.60478968 0.21858945 -0.08113052 -0.07692173 -0.12615174 0.49241715 0.21017533 0.08897337 -0.82427568], Predicted=0 X=[ 1.00169505 0.21589563 0.04800112 -1.02363678 0.10197156 -1.84106713 -0.45561214 -1.06579776 -0.05475133 -1.31313104 1.28869523], Predicted=0 X=[ 0.64615301 -0.18099175 0.79175698 -0.0771787 -1.08819196 -0.78257989 -0.31441482 -0.41041123 -0.38590965 0.527131 0.80108656], Predicted=0 X=[ 0.88318104 1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259 -0.62034234 -1.14604918 -1.24692128 -0.69971036 1.69503579], Predicted=0 X=[-1.3685852 1.10889223 -0.69575474 -0.29407534 -0.58466124 0.80515096 -0.59680945 -1.46036721 0.47510198 0.79002558 2.10137634], Predicted=1 X=[ 1.4757511 0.11667379 1.28759423 0.13971794 -0.17268156 -0.78257989 -0.33794771 0.12459818 -0.31967798 -0.69971036 0.23220977], Predicted=0 X=[-1.13155718 -0.18099175 -0.28255704 -1.06307253 -0.44733468 0.15829765 -0.57327657 -0.41041123 2.59451523 -0.08628968 -0.90554379], Predicted=0 X=[-0.18344508 -0.0817699 -0.6131152 -0.80674014 -0.12690604 1.51080912 1.00342678 -0.02921702 1.7335036 1.22818321 0.06967355], Predicted=0 X=[ 0.29061097 -1.47087572 0.37855928 -0.90532952 0.01042052 -1.25301866 -0.57327657 -0.5107255 0.87249197 3.59423441 0.96362278], Predicted=1 X=[ 1.00169505 -0.28021359 -0.28255704 0.27774308 -0.35578364 1.8636382 1.35642006 0.5091362 -0.58460464 0.08897337 -0.33666701], Predicted=0 X=[ 0.88318104 -0.47865728 0.04800112 -0.94476527 -0.12690604 -0.6649702 -0.22028328 -0.32681601 -0.45214131 1.84160389 -0.09286267], Predicted=0 X=[ 2.06832116 0.51356116 0.04800112 1.06645815 0.60550228 0.39351704 2.39186704 1.60256169 -0.12098299 0.26423642 -0.41793512], Predicted=0 X=[-1.72412724 -0.92515558 -1.19159198 0.13971794 0.10197156 0.04068796 -0.66740811 0.11791056 0.47510198 -0.69971036 -0.82427568], Predicted=0 X=[ 0.05358295 0.01745194 0.6264779 -0.98420103 -1.36284508 -1.72345743 -1.96171683 -1.76131 -0.18721466 -0.78734189 2.34518068], Predicted=1 X=[ 2.18683518 0.61278301 1.0396756 1.46081568 0.4224002 1.92244304 1.40348584 1.59587407 1.13741862 -1.05023647 -0.82427568], Predicted=0 X=[-0.53898711 0.41433932 -0.86103382 1.93404472 0.4224002 0.04068796 0.88576235 1.52899789 0.47510198 0.43949948 -1.14934812], Predicted=0 X=[ 1.35723709 0.01745194 -0.28255704 0.39605034 -0.7219878 -0.01811689 -0.54974368 -0.70466641 -1.71054293 -0.61207884 1.45123145], Predicted=1 X=[ 0.17209696 0.41433932 -0.77839428 -0.03774295 0.10197156 -0.25333627 2.10947241 0.55929333 0.27640699 1.14055168 -0.90554379], Predicted=0 X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=0 X=[ 0.527639 -0.67710097 -1.0263129 -0.94476527 0.01042052 -0.01811689 -0.12615174 0.21153721 1.26988195 -0.26155273 -0.41793512], Predicted=0 X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=0 X=[-3.01959090e-01 1.30733592e+00 -7.78394281e-01 -2.94075343e-01 5.13727875e+00 6.87541270e-01 1.32710005e-01 2.28256256e-01 -1.20982993e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.78364162], Predicted=0 X=[-0.06493106 0.01745194 0.54383836 3.07768157 0.10197156 0.74634612 0.67396638 2.33151201 -1.71054293 0.08897337 -1.47442057], Predicted=0 X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473 6.32744226 -0.01811689 0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=0 X=[ 0.17209696 -0.37943543 0.04800112 -0.668715 -0.4931102 0.04068796 -0.8556712 -1.17948726 -0.05475133 -0.52444731 1.36996334], Predicted=1 X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713 -2.59710474 -1.57740052 0.077712 -1.13786799 1.20742712], Predicted=1 X=[-0.89452915 0.01745194 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-0.94367336 0.75097212 0.14774708 1.27558973 1.23875564 0.86023613 -0.71706797 -0.78734189 -0.9868119 ], Predicted=0 X=[ 1.35723709 3.2917728 0.37855928 1.12561178 11.68317809 -0.6649702 1.92120932 1.76306451 -1.64431127 -0.08628968 -1.06808001], Predicted=0 X=[-0.65750113 0.11667379 -0.86103382 1.53968719 -0.40155916 -0.6649702 -0.92626985 0.41885336 -0.71706797 -0.96260494 0.06967355], Predicted=0 X=[ 0.29061097 0.91044854 2.77510595 0.81012575 -0.035355 0.80515096 0.39157175 1.16117892 -0.18721466 -0.43681578 -1.47442057], Predicted=0 X=[-0.06493106 -0.9747665 0.13064066 -0.19548596 0.37662468 1.04037035 0.10917712 -0.38700457 -0.58460464 0.43949948 0.394746 ], Predicted=0 X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=0 X=[ 3.13494728 1.40655776 0.6264779 -0.80674014 -0.53888572 -0.78257989 0.15624289 0.3586648 -0.8495313 0.26423642 0.394746 ], Predicted=0 X=[ 0.17209696 -0.67710097 0.70911744 -0.21520384 -0.40155916 0.04068796 -0.3614806 -0.27331507 -0.31967798 0.26423642 0.31347789], Predicted=0 X=[ 0.29061097 -1.37165388 0.54383836 -1.02363678 0.23929812 1.15798004 -0.05555308 -0.27665888 0.74002864 4.12002357 -0.58047134], Predicted=0 X=[ 0.29061097 1.60500145 -0.86103382 -0.11661445 -0.4931102 -0.6649702 -0.90273697 -1.13936156 -0.25344632 0.70239405 2.18264446], Predicted=1 X=[ 1.71277913 -1.07398834 -0.1999175 -0.96448315 0.14774708 0.74634612 0.34450598 0.05772201 -0.45214131 0.79002558 -0.90554379], Predicted=0 X=[ 1.83129314 -1.07398834 -0.1999175 0.06084644 -0.35578364 -0.37094597 -0.14968462 0.15803627 -0.58460464 -1.48839409 0.06967355], Predicted=0 X=[ 2.4238632 -0.0817699 -0.44783612 -1.10250829 -0.99664092 -0.37094597 -0.24381617 -1.40017865 -1.18068962 -1.22549952 1.53249956], Predicted=1 X=[-0.53898711 1.30733592 -2.67910371 -0.05746082 0.10197156 -0.90018958 -1.60872354 -0.13621891 0.01148034 -0.61207884 -0.41793512], Predicted=0 X=[ 3.01643326 0.11667379 1.78343147 -0.82645801 0.1935226 -1.07660412 -0.45561214 0.72648377 -0.45214131 1.75397237 -0.17413078], Predicted=0 X=[-1.25007119 -0.77632281 -0.53047566 -0.98420103 -0.67621228 -1.37062835 -1.44399334 -1.17948726 0.40887032 -1.13786799 0.31347789], Predicted=0 X=[ 0.64615301 -0.37943543 0.2132802 -0.86589377 -0.67621228 -0.48855566 0.01504558 -1.16276822 0.60756531 -0.08628968 1.61376767], Predicted=1 X=[-0.89452915 -0.0817699 -0.1999175 -0.49125411 -0.53888572 0.39351704 -0.0320202 -0.61772738 0.34263866 -0.26155273 0.31347789], Predicted=0 X=[-0.4204731 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.6649702 -1.39692757 -1.16945584 0.54133365 1.75397237 0.71981845], Predicted=0 X=[-0.53898711 0.21589563 -0.53047566 -0.39266473 0.4224002 -1.07660412 -0.07908597 -0.5107255 0.27640699 -0.43681578 1.36996334], Predicted=0 X=[-1.01304317 1.10889223 -1.68742922 -1.02363678 -0.17268156 1.45200427 0.79163081 -0.9654835 -0.8495313 0.26423642 0.06967355], Predicted=0 X=[-0.06493106 0.11667379 1.37023377 1.3622263 0.33084916 0.74634612 1.30935429 1.12774083 -0.6508363 -0.34918426 -0.90554379], Predicted=0 X=[-0.77601514 -0.23060267 -0.53047566 -1.0039189 -0.40155916 -0.31214112 -1.23219737 -1.90174997 -0.91576296 0.87765711 1.93884012], Predicted=1 X=[-1.01304317 0.51356116 -1.27423152 -0.668715 -0.44733468 -1.78226228 -1.25573025 -0.9287016 0.60756531 -0.78734189 0.80108656], Predicted=0 X=[ 0.64615301 1.00967039 0.04800112 0.37633246 0.28507364 0.51112673 0.69749926 0.74989043 -0.51837298 0.26423642 -1.06808001], Predicted=0 X=[ 3.49048932 0.31511748 1.28759423 1.77630171 0.01042052 -1.31182351 -0.45561214 2.13088348 -0.05475133 -0.34918426 -0.82427568], Predicted=0 X=[-1.3685852 -0.0817699 -0.11727796 -1.02363678 0.01042052 -0.90018958 0.39157175 -0.2097827 4.05161184 -0.69971036 -0.2553989 ], Predicted=0 X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=0 X=[-0.53898711 -0.18099175 0.70911744 0.65238274 -0.08113052 -0.31214112 0.03857846 0.72648377 -0.05475133 -0.17392121 -1.14934812], Predicted=0 X=[ 0.29061097 -0.28021359 -0.69575474 -0.94476527 0.01042052 0.86395581 1.00342678 -0.5107255 0.077712 -0.61207884 0.394746 ], Predicted=0 X=[ 0.64615301 -0.47865728 -0.69575474 -0.98420103 0.14774708 0.45232188 0.06211135 -0.2097827 1.53480861 0.43949948 -0.2553989 ], Predicted=0 X=[ 0.64615301 -0.57787912 -0.44783612 0.5143576 0.01042052 -0.78257989 -0.40854637 0.21822483 -0.58460464 0.527131 0.23220977], Predicted=0 X=[-0.65750113 -0.77632281 -1.19159198 1.16504753 0.10197156 1.09917519 0.15624289 0.8869866 -0.18721466 -0.61207884 -0.9868119 ], Predicted=0 X=[ 0.29061097 0.01745194 -0.44783612 0.41576822 -0.7219878 -0.60616535 1.23875564 -0.21647032 -0.18721466 -0.26155273 1.36996334], Predicted=0 X=[ 1.12020906 -1.07398834 1.37023377 -1.0039189 -0.035355 -0.01811689 0.03857846 -1.21292535 -0.18721466 -0.78734189 1.20742712], Predicted=0 X=[ 0.76466702 1.00967039 -0.03463842 -0.27435747 -0.035355 -0.31214112 -0.17321751 0.05772201 0.87249197 -0.43681578 0.31347789], Predicted=0 X=[-0.18344508 1.80344514 -0.53047566 -0.23492171 -0.31000812 -0.01811689 -0.99686851 -0.91532637 -0.18721466 -0.43681578 1.53249956], Predicted=0 X=[ 1.00169505 1.80344514 -1.27423152 -0.60956137 0.37662468 -1.01779928 0.10917712 -0.03590464 -0.45214131 0.1766049 0.23220977], Predicted=0 X=[-0.06493106 -0.0817699 -0.94367336 2.24953075 -0.53888572 -1.13540897 -0.5262108 1.62931216 -0.78329963 0.35186795 -1.06808001], Predicted=0 X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315 0.23929812 0.62873642 0.08564423 -0.41041123 0.27640699 -0.61207884 -0.33666701], Predicted=0 X=[-0.18344508 -1.37165388 1.45287331 -0.4123826 -0.81353884 1.27558973 -0.33794771 -0.75816735 -1.84300626 0.43949948 0.15094166], Predicted=0 X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=0 X=[ 1.00169505 -0.9747665 -0.28255704 -1.02363678 0.01042052 0.80515096 1.42701872 0.03431534 -1.04822629 -0.96260494 -0.9868119 ], Predicted=0 X=[ 0.40912499 -0.0817699 3.35358273 1.20448328 -0.40155916 0.68754127 0.41510463 1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=0 X=[-0.06493106 -0.47865728 -0.36519658 1.77630171 1.24635956 1.21678489 0.81516369 1.46212172 -0.8495313 -0.69971036 -1.47442057], Predicted=0 X=[-0.65750113 -1.07398834 0.70911744 -0.70815075 -0.81353884 0.56993158 -0.73800677 -1.079173 0.54133365 -0.52444731 1.04489089], Predicted=1 X=[-0.53898711 0.21589563 0.37855928 0.27774308 0.01042052 -0.01811689 1.26228852 0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=0 X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=0 X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=0 X=[ 2.90610974e-01 8.11226697e-01 2.95919742e-01 -3.13793220e-01 -1.22551852e+00 2.17102498e-01 -5.73276568e-01 -1.22630059e+00 -7.17067969e-01 1.34184656e-03 1.77630390e+00], Predicted=1 X=[ 0.64615301 0.61278301 0.70911744 -1.04335466 -0.58466124 -1.07660412 0.76809792 -0.7782302 -0.45214131 0.35186795 0.63855033], Predicted=0 X=[-0.65750113 0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143 0.03857846 -1.51386815 -0.12098299 -1.13786799 1.85757201], Predicted=1 X=[-1.25007119 -0.03215898 -0.28255704 -0.19548596 -0.12690604 0.33471219 0.25037443 -0.47728741 0.93872363 -0.61207884 0.23220977], Predicted=0 X=[ 1.72096961e-01 -4.78657278e-01 2.13280202e-01 1.30307267e+00 2.39298119e-01 2.15766243e+00 9.09295235e-01 1.06086466e+00 -1.87214657e-01 1.34184656e-03 -5.80471343e-01], Predicted=0 X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572 0.68754127 -1.13806583 -1.80812333 0.21017533 -0.96260494 1.69503579], Predicted=1 X=[-0.30195909 -1.27243203 0.04800112 -0.25463959 0.4224002 -0.07692173 -0.31441482 0.05772201 1.13741862 -0.61207884 -0.74300757], Predicted=0 X=[-1.01304317 0.61278301 -0.36519658 -0.05746082 0.01042052 -0.37094597 -0.10261885 0.19816198 1.93219859 0.70239405 0.15094166], Predicted=0 X=[-0.53898711 1.00967039 -1.10895244 -0.21520384 3.26048243 1.27558973 1.00342678 0.18813055 0.34263866 -0.52444731 -0.82427568], Predicted=0 X=[ 0.17209696 2.49799805 -2.59646417 -1.06307253 -0.44733468 0.2171025 -0.73800677 -0.34353506 0.077712 -1.48839409 -1.23061624], Predicted=0 X=[-0.18344508 1.90266698 0.04800112 0.49463972 -0.12690604 -0.25333627 0.79163081 0.79335995 0.21017533 0.96528863 -1.06808001], Predicted=0 X=[ 1.59426511 0.21589563 0.87439652 1.18476541 -0.12690604 0.9815655 0.36803886 0.16472389 -0.98199462 -1.40076257 1.20742712], Predicted=0 X=[ 0.40912499 -0.67710097 -0.1999175 0.81012575 -0.4931102 0.04068796 -0.38501348 0.25166292 -0.45214131 -0.78734189 0.06967355], Predicted=0 X=[-0.30195909 -1.07398834 -0.44783612 -1.04335466 -0.53888572 1.15798004 -0.71447388 -1.55065005 -1.24692128 0.26423642 1.126159 ], Predicted=1 X=[ 0.17209696 -0.37943543 0.04800112 -0.98420103 -0.67621228 -0.48855566 -0.73800677 -1.34667771 -0.8495313 -0.87497341 1.126159 ], Predicted=0 X=[-0.65750113 -0.57787912 -0.53047566 -0.37294685 -0.44733468 2.68690605 0.43863752 -0.41041123 -0.91576296 2.36739305 0.15094166], Predicted=0 X=[-0.65750113 -0.37943543 0.13064066 -0.80674014 -0.31000812 0.45232188 -0.690941 -1.15942441 1.0049553 -0.43681578 1.04489089], Predicted=0 X=[-1.25007119 1.40655776 -0.28255704 -0.82645801 -0.4931102 -0.5473605 -0.22028328 -1.68105859 0.87249197 -0.17392121 1.93884012], Predicted=0 X=[-0.53898711 -1.52048664 -0.36519658 -0.10675551 -0.17268156 -0.6649702 -0.92626985 -0.67791594 0.27640699 -1.48839409 1.20742712], Predicted=0 X=[ 1.00169505 0.31511748 -0.6131152 0.27774308 -0.67621228 -0.72377504 -1.13806583 0.12459818 -0.38590965 0.08897337 -0.09286267], Predicted=0 X=[-0.77601514 0.41433932 -0.11727796 -0.82645801 -0.44733468 -1.19421382 -1.60872354 -1.3801158 -0.18721466 -0.08628968 1.7763039 ], Predicted=0 X=[ 1.23872307 2.29955436 0.2132802 -0.03774295 0.23929812 -0.31214112 0.81516369 1.46212172 -0.6508363 0.35186795 -0.66173945], Predicted=0 X=[-0.18344508 -1.71893033 -0.11727796 1.18476541 0.23929812 -0.07692173 -0.76153965 1.32836936 2.32958858 -0.34918426 -1.06808001], Predicted=0 X=[-0.53898711 -0.57787912 0.04800112 -0.98420103 -1.04241644 1.21678489 -0.54974368 -1.48711768 -0.05475133 1.84160389 0.96362278], Predicted=1 X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315 0.23929812 0.62873642 0.08564423 -0.41041123 0.27640699 -0.61207884 -0.33666701], Predicted=0 X=[-0.65750113 0.31511748 0.04800112 -0.82645801 -0.035355 -0.90018958 -1.44399334 -0.44384932 0.74002864 -0.52444731 -0.2553989 ], Predicted=0 X=[ 0.05358295 -0.37943543 0.54383836 1.77630171 0.28507364 2.68690605 1.40348584 1.52899789 0.077712 1.75397237 -0.90554379], Predicted=0 X=[-0.30195909 -0.28021359 0.70911744 0.96786876 0.14774708 2.45168666 2.18007107 0.86023613 0.34263866 0.26423642 -0.82427568], Predicted=0 X=[ 0.40912499 3.04371819 -1.10895244 0.79040787 1.84144132 -1.07660412 -1.04393428 0.93045611 -0.38590965 -0.78734189 -0.90554379], Predicted=0 X=[-0.77601514 0.8112267 -0.53047566 -0.62927925 -0.63043676 -1.31182351 -1.53812488 -1.54061862 -1.90923792 1.75397237 1.69503579], Predicted=0 X=[ 0.29061097 -0.18099175 -0.1999175 -0.82645801 -0.08113052 -0.37094597 -0.24381617 -0.10946844 1.0049553 1.31581474 0.31347789], Predicted=0 X=[ 0.40912499 -1.17321019 -0.11727796 -1.10250829 -0.2642326 0.86395581 -0.40854637 -0.61103976 0.54133365 -1.40076257 -0.41793512], Predicted=0 X=[ 3.01643326 0.21589563 -0.11727796 0.8495615 -0.76776332 -1.25301866 -0.64387523 0.59273142 -2.24039624 -0.61207884 0.06967355], Predicted=0 X=[-0.77601514 0.21589563 -1.35687106 -0.70815075 -0.2642326 -0.6649702 -0.31441482 -0.04259226 -1.18068962 -0.26155273 -1.23061624], Predicted=0 X=[-0.53898711 0.01745194 -1.19159198 -0.19548596 -0.17268156 1.8636382 1.00342678 0.10787914 0.8062603 -1.22549952 -0.2553989 ], Predicted=0 X=[ 0.527639 0.41433932 0.13064066 -0.98420103 0.1935226 -1.60584774 0.57983483 -0.53078835 0.34263866 -0.61207884 0.15094166], Predicted=0 X=[-0.18344508 -0.37943543 -0.03463842 1.16504753 0.01042052 -0.25333627 0.15624289 1.42868363 1.13741862 -0.78734189 -0.82427568], Predicted=0 X=[-0.53898711 -0.47865728 0.13064066 0.77069 -0.17268156 1.09917519 0.03857846 0.89367421 0.27640699 -0.17392121 -1.06808001], Predicted=0 X=[-0.4204731 -0.87554465 -0.11727796 -0.98420103 -0.2642326 -0.25333627 -0.14968462 -0.61103976 1.13741862 0.43949948 0.23220977], Predicted=0 X=[-1.48709922 0.71200485 -1.60478968 -0.27435747 0.01042052 0.74634612 1.40348584 -0.10946844 0.74002864 1.92923542 -0.17413078], Predicted=0 X=[-1.25007119 -1.47087572 -0.6131152 -0.25463959 -0.31000812 -0.95899443 -0.83213831 0.25166292 1.13741862 -0.17392121 -0.9868119 ], Predicted=0 X=[-1.3685852 -0.47865728 -0.69575474 0.30731989 -0.17268156 -1.13540897 -0.71447388 0.27841339 1.66727194 1.05292016 -0.17413078], Predicted=0 X=[-0.30195909 1.00967039 -1.27423152 -1.02363678 -0.17268156 -0.90018958 -1.27926314 -0.44384932 0.21017533 -0.34918426 -0.33666701], Predicted=0 X=[-0.18344508 -0.87554465 0.04800112 -1.06307253 -1.08819196 -0.78257989 -1.04393428 -0.94542065 0.27640699 0.70239405 0.47601411], Predicted=0 X=[ 1.71277913 0.8112267 1.94871055 1.6974302 0.28507364 -0.01811689 2.76839321 2.03056922 -1.71054293 1.31581474 -1.55568868], Predicted=0 X=[ 1.59426511 -0.77632281 0.37855928 -0.57012562 0.33084916 0.33471219 0.83869658 -0.3234722 0.21017533 -0.69971036 0.88235467], Predicted=0 X=[ 0.64615301 -0.9747665 -0.28255704 0.79040787 -0.035355 0.51112673 0.83869658 0.86023613 -0.51837298 0.70239405 -0.66173945], Predicted=0 X=[ 0.05358295 0.51356116 2.36190825 0.21858945 -0.35578364 0.62873642 -0.14968462 -0.86851304 0.27640699 -0.52444731 2.34518068], Predicted=1 X=[-1.3685852 -1.17321019 -0.6131152 -0.01802507 -0.12690604 -0.42975081 -0.59680945 -0.14290653 -0.8495313 0.79002558 -0.49920323], Predicted=0 X=[-0.30195909 -0.18099175 -0.94367336 2.31854331 0.1935226 -0.72377504 0.01504558 1.67612548 -0.8495313 0.08897337 -1.06808001], Predicted=0 X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=0 X=[ 1.23872307 0.11667379 0.46119882 0.06084644 -0.44733468 -1.72345743 -0.50267791 -0.07603035 -0.45214131 -0.61207884 0.15094166], Predicted=0 X=[-0.77601514 -0.47865728 0.37855928 -0.94476527 -0.08113052 -1.37062835 -0.59680945 -0.75816735 0.74002864 2.10449847 0.71981845], Predicted=0 X=[-0.89452915 -1.17321019 0.04800112 -0.05746082 -0.53888572 -0.25333627 -0.57327657 -0.12618748 0.87249197 0.79002558 -0.30957764], Predicted=0 X=[ 1.59426511 -1.27243203 1.20495468 -0.72786863 0.28507364 -0.6649702 1.21522275 0.32522671 2.06466192 -0.34918426 0.31347789], Predicted=0 X=[-2.43521132 -0.5282682 0.37855928 -1.02363678 1.29213508 0.68754127 -0.1967504 -0.90529494 0.8062603 -0.78734189 -0.17413078], Predicted=0 X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332 -1.0204014 -1.63424527 -1.51184794 -1.13786799 1.61376767], Predicted=0 X=[-0.65750113 1.10889223 -0.94367336 -0.70815075 0.10197156 1.04037035 0.81516369 -0.33015982 0.34263866 -0.34918426 -0.58047134], Predicted=0 X=[ 0.88318104 -0.0817699 -0.11727796 -1.02363678 -0.12690604 -0.72377504 -1.56165777 -0.55753882 -0.8495313 1.66634084 -0.01159456], Predicted=0 X=[-0.06493106 -1.57009756 -0.28255704 1.28335479 0.14774708 -0.19453143 -1.1851316 0.84017327 0.077712 -1.22549952 -0.49920323], Predicted=0 X=[-1.25007119 -0.87554465 -0.69575474 0.86927938 -0.17268156 -0.13572658 -0.33794771 0.8134228 0.21017533 -0.69971036 -1.06808001], Predicted=0 X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449 -0.76776332 0.45232188 -0.76153965 -0.97217112 -1.71054293 -0.52444731 0.80108656], Predicted=0 X=[ 0.64615301 -1.07398834 -0.36519658 -0.98420103 0.05619604 -0.72377504 -0.73800677 -0.04259226 2.19712525 1.40344626 -0.09286267], Predicted=0 X=[ 0.64615301 0.11667379 1.20495468 1.26363691 -0.40155916 1.54021154 1.02695966 1.35511983 -1.11445795 -1.31313104 -1.39315246], Predicted=0 X=[ 0.40912499 -0.0817699 -0.53047566 -0.78702226 0.10197156 -0.31214112 0.25037443 -0.14290653 -0.58460464 0.1766049 -1.06808001], Predicted=0 X=[ 0.05358295 -0.18099175 -0.1999175 0.12000007 -0.31000812 0.09949281 0.86222946 -0.08940558 0.87249197 0.00134185 0.71981845], Predicted=0 X=[ 1.23872307e+00 -1.37165388e+00 9.57036064e-01 -9.05329520e-01 1.93522599e-01 -1.07660412e+00 -5.73276568e-01 2.58350535e-01 9.38723632e-01 1.34184656e-03 1.50941663e-01], Predicted=0 X=[ 0.05358295 -0.0817699 -0.69575474 0.21858945 -0.7219878 -1.01779928 -0.50267791 -0.95879588 -0.6508363 -0.96260494 2.02010823], Predicted=1 X=[-0.18344508 0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702 -1.27926314 -1.04573491 -0.31967798 -1.13786799 0.96362278], Predicted=0 X=[-0.06493106 -0.57787912 0.29591974 -0.9250474 -0.44733468 0.15829765 1.33288718 -1.079173 1.07118696 2.01686694 1.61376767], Predicted=1 X=[-2.3166973 0.51356116 -0.1999175 -1.02363678 -1.36284508 0.2171025 0.27390732 -2.30635084 0.93872363 0.87765711 2.83278935], Predicted=1 X=[-1.01304317 -1.17321019 0.2132802 -0.94476527 -0.17268156 -1.31182351 -1.82051951 -0.86851304 0.21017533 0.43949948 0.23220977], Predicted=0 X=[ 0.76466702 1.40655776 0.95703606 0.53407548 -0.76776332 -0.90018958 -0.31441482 0.6596076 -0.45214131 -1.13786799 -0.33666701], Predicted=0 X=[-0.77601514 0.21589563 -0.1999175 -1.02363678 0.10197156 -0.95899443 -0.31441482 -1.35002152 0.87249197 0.43949948 1.69503579], Predicted=0 X=[-1.01304317 -1.07398834 -0.03463842 -0.0771787 -0.44733468 -0.31214112 -0.64387523 -0.13621891 0.87249197 0.79002558 -0.29603295], Predicted=0 X=[-1.48709922 -0.92515558 -1.19159198 0.13971794 0.10197156 0.04068796 -0.66740811 0.11791056 0.47510198 -0.69971036 -0.82427568], Predicted=0 X=[-0.30195909 -1.17321019 -0.28255704 -0.94476527 -0.53888572 -1.19421382 -1.42046046 -0.67791594 1.26988195 -0.43681578 0.55728222], Predicted=0 X=[-0.06493106 -0.9747665 -0.44783612 -1.04335466 -0.85931436 -0.19453143 -0.62034234 -1.04907872 -0.25344632 -0.34918426 0.394746 ], Predicted=0 X=[ 1.94980715 0.01745194 0.04800112 1.46081568 -0.21845708 -0.19453143 0.53276906 1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=0 X=[-0.06493106 0.01745194 0.13064066 -0.80674014 -0.17268156 -1.13540897 -1.25573025 -1.14604918 0.01148034 0.61476253 1.53249956], Predicted=0 X=[-0.89452915 1.60500145 -0.44783612 -0.42224154 -0.63043676 0.45232188 -0.14968462 -0.81166829 0.47510198 -0.17392121 0.61146097], Predicted=0 X=[-0.06493106 1.60500145 -1.10895244 1.89460897 0.8801554 1.51080912 1.12109121 1.60924931 -0.38590965 -0.34918426 -1.55568868], Predicted=0 X=[-0.06493106 -0.18099175 -0.36519658 1.08617602 0.28507364 1.09917519 0.50923618 0.47904192 -1.04822629 0.79002558 -0.09286267], Predicted=0 X=[ 0.05358295 -0.9747665 0.37855928 0.33689671 0.14774708 0.51112673 0.88576235 0.59273142 0.74002864 0.43949948 -0.58047134], Predicted=0 X=[ 0.17209696 1.20811407 -0.69575474 -0.90532952 0.1935226 0.92276066 1.19168986 -0.76485497 -1.24692128 0.527131 0.71981845], Predicted=0 X=[ 0.05358295 2.59721989 -0.11727796 1.34250842 0.1935226 1.04037035 2.29773549 1.09430274 0.077712 0.08897337 -0.74300757], Predicted=0 X=[-0.30195909 -0.67710097 0.46119882 -0.80674014 -0.21845708 -0.25333627 -0.8556712 -0.60769595 0.21017533 0.79002558 0.31347789], Predicted=0 X=[ 1.59426511 2.3987762 0.04800112 -1.02363678 -0.17268156 -1.01779928 0.67396638 -0.12284367 0.34263866 -0.87497341 0.06967355], Predicted=0 X=[-1.01304317 -0.87554465 -0.6131152 1.18476541 0.10197156 0.86395581 0.20330866 1.06086466 0.74002864 -1.13786799 -1.31188435], Predicted=0 X=[ 0.17209696 -0.37943543 -0.69575474 -0.9250474 -0.17268156 0.74634612 1.19168986 -0.67791594 0.40887032 -0.61207884 0.71981845], Predicted=0 X=[ 0.40912499 -0.87554465 -0.1999175 -0.01802507 -0.53888572 -1.07660412 -0.83213831 -0.32681601 -0.25344632 0.26423642 0.71981845], Predicted=0 X=[-1.60561323 -0.37943543 -0.11727796 0.45520397 0.6512778 -0.95899443 -0.8556712 -0.00915417 0.54133365 -1.57602562 -0.09286267], Predicted=0 X=[ 2.4238632 -1.47087572 1.28759423 -1.06307253 -0.81353884 -1.72345743 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=0 X=[ 1.4757511 -0.18099175 -0.53047566 -0.4123826 -0.7219878 0.45232188 -0.3614806 -0.63779023 -0.18721466 -1.40076257 0.55728222], Predicted=0 X=[-8.94529153e-01 -5.77879122e-01 1.37023377e+00 4.11285600e-02 -3.53550004e-02 -3.12141119e-01 -3.85013482e-01 4.10029609e-02 2.10175327e-01 1.34184656e-03 -4.99203231e-01], Predicted=0 X=[-6.49310643e-02 -8.17699008e-02 7.09117443e-01 1.79153697e-01 3.76624679e-01 1.33439458e+00 1.45055161e+00 5.12480007e-01 -4.52141313e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[-0.77601514 -1.07398834 -0.28255704 -1.04335466 -0.40155916 -1.25301866 -1.39692757 -0.34353506 2.06466192 0.43949948 -0.17413078], Predicted=0 X=[-0.53898711 -0.18099175 0.13064066 0.2580252 0.46817572 0.56993158 1.23875564 0.41550955 -0.18721466 0.08897337 -0.82427568], Predicted=0 X=[-0.77601514 0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443 -1.23219737 -1.56736909 -0.98199462 -2.01418325 2.34518068], Predicted=1 X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=0 X=[ 0.88318104 -1.47087572 0.04800112 0.57351123 0.74282884 0.27590734 -0.29088194 0.86023613 0.14394366 -0.87497341 -0.74300757], Predicted=0 X=[-1.48709922 1.80344514 -0.77839428 -0.31379322 -0.17268156 -0.6649702 -1.56165777 -1.079173 0.67379698 -1.05023647 1.69503579], Predicted=0 X=[-0.89452915 0.8112267 -0.03463842 -1.04335466 0.1935226 -0.6649702 0.72103215 -0.44384932 -0.25344632 2.5426561 -0.82427568], Predicted=0 X=[ 0.29061097 -0.9747665 -0.6131152 -1.0039189 -0.21845708 -0.90018958 -1.58519066 -0.47728741 -0.98199462 2.19213 -0.49920323], Predicted=0 X=[-0.06493106 -0.18099175 0.54383836 0.21858945 0.01042052 0.56993158 0.95636101 0.60276285 0.077712 0.00134185 -0.9868119 ], Predicted=0 X=[ 0.40912499 -0.77632281 -0.94367336 -0.94476527 -0.08113052 -1.07660412 -0.87920408 0.22825626 1.20365029 0.35186795 -0.41793512], Predicted=0 X=[ 3.01643326e+00 1.74519434e-02 -2.82557040e-01 -9.44765273e-01 -3.53550004e-02 4.06879593e-02 1.50455761e-02 4.38916213e-01 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[-0.53898711 0.41433932 -0.86103382 1.93404472 0.4224002 0.04068796 0.88576235 1.52899789 0.47510198 0.43949948 -1.14934812], Predicted=0 X=[-0.30195909 -0.37943543 -0.94367336 1.16504753 0.23929812 -0.01811689 0.17977578 0.91373707 -0.58460464 1.57870931 -0.90554379], Predicted=0 X=[-0.18344508 0.51356116 0.2132802 0.04112856 -0.17268156 -0.07692173 -0.5262108 -0.93538922 -1.44561627 -1.57602562 1.36996334], Predicted=0 X=[ 0.76466702 -0.9747665 0.29591974 -0.03774295 0.1935226 -0.84138474 -0.00848731 0.47904192 0.077712 0.527131 -0.01159456], Predicted=0 X=[ 0.05358295 -1.07398834 -0.69575474 -0.94476527 0.05619604 -0.07692173 -0.14968462 -0.87854447 -0.18721466 -0.08628968 0.71981845], Predicted=0 X=[ 0.29061097 -1.47087572 0.54383836 -1.02363678 0.05619604 1.09917519 -0.10261885 -0.27665888 0.74002864 4.20765509 -0.58047134], Predicted=0 X=[ 0.64615301 -0.9747665 0.70911744 -0.84617589 -0.44733468 -0.13572658 1.14462409 -0.07603035 1.40234528 -0.69971036 0.06967355], Predicted=0 X=[ 0.88318104 0.8112267 0.87439652 0.37633246 9.57750418 -0.42975081 0.08564423 0.59273142 -0.45214131 -0.52444731 -0.2553989 ], Predicted=0 X=[-0.89452915 -0.0817699 -0.11727796 -1.04335466 -0.53888572 -0.6649702 -0.66740811 -1.41355388 1.13741862 -0.78734189 1.61376767], Predicted=0 X=[-2.07966928 0.71200485 -0.6131152 0.08056431 -0.53888572 0.04068796 -0.43207925 -0.71804165 1.26988195 -0.78734189 0.80108656], Predicted=0 X=[-0.06493106 1.70422329 -0.28255704 1.06645815 2.20764547 -0.72377504 -0.97333563 0.99398848 -0.6508363 -0.43681578 -0.74300757], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[ 0.527639 0.51356116 0.54383836 0.09042325 -0.35578364 -0.19453143 -0.00848731 -0.67791594 -1.04822629 -1.66365715 1.126159 ], Predicted=0 X=[-0.06493106 0.01745194 0.54383836 3.07768157 0.10197156 0.74634612 0.67396638 2.33151201 -1.71054293 0.08897337 -1.47442057], Predicted=0 X=[ 0.40912499 -1.27243203 0.46119882 -0.90532952 -0.12690604 -0.84138474 0.48570329 0.25835054 2.19712525 -0.17392121 -0.41793512], Predicted=0 X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=0 X=[-0.4204731 0.41433932 0.04800112 -0.13633233 -0.08113052 -0.48855566 -1.11453294 -0.73141688 0.60756531 0.96528863 1.20742712], Predicted=0 X=[ 0.88318104 0.11667379 -0.6131152 0.02141068 -0.17268156 -0.19453143 0.50923618 0.12459818 -0.31967798 -0.17392121 0.15094166], Predicted=0 X=[-1.13155718 1.60500145 0.2132802 -0.76730438 -0.7219878 -1.37062835 -1.53812488 -0.67457213 0.21017533 -0.08628968 0.23220977], Predicted=0 X=[-0.53898711 0.61278301 0.87439652 0.35661459 -0.12690604 1.09917519 1.47408449 0.49576096 -0.05475133 -0.08628968 -0.82427568], Predicted=0 X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=0 X=[-0.18344508 2.20033252 2.44454779 1.38194417 1.47523716 2.68690605 2.34480127 1.59587407 -0.71706797 -0.43681578 -1.06808001], Predicted=0 X=[ 0.40912499 -0.57787912 1.28759423 -1.06307253 -0.035355 -0.07692173 0.03857846 -1.34667771 -0.91576296 -1.31313104 1.7763039 ], Predicted=0 X=[ 0.76466702 0.21589563 -1.0263129 0.03126962 -0.90508988 -0.13572658 0.10917712 -0.53078835 -1.77677459 -1.22549952 0.47601411], Predicted=0 X=[-0.77601514 -0.23060267 -0.77839428 -0.9250474 -0.31000812 6.06818472 3.14491938 0.16472389 2.26335691 0.35186795 -0.74300757], Predicted=0 X=[-1.72412724 3.14294004 -1.93534784 -0.70815075 -0.17268156 -0.5473605 -1.37339468 -0.27665888 1.13741862 -0.96260494 -0.9868119 ], Predicted=0 X=[-0.53898711 -0.28021359 -0.44783612 -0.29407534 -0.7219878 -0.37094597 -0.94980274 -1.26642629 -0.6508363 0.79002558 1.85757201], Predicted=1 X=[ 0.05358295 1.20811407 -0.94367336 -0.08703764 1.61256372 2.39288182 3.87443884 1.01070752 1.40234528 0.70239405 -0.90554379], Predicted=0 X=[ 0.64615301 0.8112267 -0.86103382 -0.88561164 -1.31706956 -0.25333627 -1.63225643 -1.61418241 -1.71054293 -1.13786799 1.61376767], Predicted=0 X=[ 0.40912499 -1.17321019 0.13064066 -1.02363678 -0.67621228 -0.48855566 -1.27926314 -0.41041123 0.93872363 -1.31313104 -0.49920323], Predicted=0 X=[-0.77601514 -0.67710097 -1.27423152 1.02702239 -0.08113052 1.51080912 0.39157175 0.84351708 -0.31967798 0.26423642 -0.90554379], Predicted=0 X=[-0.53898711 1.00967039 -0.77839428 0.15943582 0.05619604 0.33471219 0.29744021 0.67298283 -0.51837298 0.96528863 -1.06808001], Predicted=0 X=[-0.53898711 0.11667379 0.87439652 -0.55040774 6.92252402 2.33407697 1.05049255 0.05772201 -1.18068962 -0.96260494 -1.14934812], Predicted=0 X=[ 0.05358295 0.21589563 0.2132802 -0.37294685 0.37662468 -0.25333627 1.52115026 0.36869623 1.40234528 0.70239405 -0.09286267], Predicted=0 X=[-0.30195909 0.71200485 -0.36519658 1.57912294 -0.08113052 1.09917519 0.90929523 1.69618834 -0.12098299 0.79002558 -1.31188435], Predicted=0 X=[-0.4204731 -0.57787912 0.95703606 0.31717883 0.33084916 0.9815655 1.35642006 0.62616951 0.27640699 -0.08628968 -1.14934812], Predicted=0 X=[ 1.71277913 -1.27243203 0.46119882 -1.0039189 0.4224002 -0.19453143 0.17977578 -0.34353506 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0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=0 X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=0 X=[ 0.17209696 0.11667379 1.28759423 -0.51097199 0.05619604 0.09949281 -0.05555308 -0.07603035 -1.5780796 -0.78734189 -0.90554379], Predicted=0 X=[ 0.64615301 -0.0817699 1.20495468 -1.04335466 0.05619604 -1.07660412 -0.14968462 -0.87854447 0.01148034 0.00134185 0.88235467], Predicted=0 X=[ 2.06832116 -0.57787912 -0.03463842 -1.02363678 -0.67621228 0.15829765 -1.0204014 -0.54750739 -2.37285957 -1.57602562 -0.17413078], Predicted=0 X=[-0.30195909 -0.28021359 -0.77839428 -0.9250474 0.10197156 -0.5473605 -0.33794771 0.05772201 1.20365029 0.96528863 -0.33666701], Predicted=0 X=[-2.07966928e+00 -1.80991745e-01 4.80011213e-02 1.69280668e-03 -5.38885719e-01 -5.47360505e-01 -9.26269854e-01 1.54692461e-01 2.76406991e-01 -6.99710361e-01 -1.06808001e+00], Predicted=0 X=[ 0.29061097 -1.57009756 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1.70079193 0.8495615 0.01042052 1.39319943 2.25066972 0.86023613 -0.91576296 1.05292016 -0.82427568], Predicted=0 X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572 0.68754127 -1.13806583 -1.80812333 0.21017533 -0.96260494 1.69503579], Predicted=1 X=[-0.53898711 0.31511748 0.54383836 0.00169281 -0.31000812 0.2171025 1.23875564 0.36869623 -0.31967798 0.26423642 -0.58047134], Predicted=0 X=[-0.06493106 -0.67710097 1.78343147 1.61855869 0.33084916 -0.07692173 0.48570329 1.34508841 -1.71054293 -0.43681578 -1.06808001], Predicted=0 X=[-0.18344508 0.31511748 0.70911744 0.00169281 0.51395124 -0.60616535 0.22684155 0.49241715 -0.18721466 -0.34918426 -0.74300757], Predicted=0 X=[ 1.71277913 -1.37165388 0.95703606 -0.96448315 -0.31000812 -1.01779928 -0.94980274 -0.62775881 -1.11445795 0.61476253 0.394746 ], Predicted=0 X=[ 0.40912499 -1.37165388 -0.11727796 -1.04335466 -1.08819196 0.74634612 -0.5262108 -0.61772738 -0.98199462 1.57870931 -0.41793512], Predicted=0 X=[-1.13155718 1.65461237 -0.6131152 -0.98420103 -0.85931436 -0.72377504 -0.690941 -0.851794 0.74002864 -1.13786799 -0.01159456], Predicted=0 X=[ 3.25346129 3.7382711 -1.0263129 -0.86589377 -0.31000812 -0.84138474 -0.43207925 -0.71804165 -1.24692128 4.47054967 1.69503579], Predicted=0 X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=0 X=[ 0.527639 0.01745194 0.2132802 1.24391904 -0.2642326 0.15829765 0.03857846 1.32836936 0.74002864 2.63028763 -0.74300757], Predicted=0 X=[ 3.13494728 -0.67710097 1.12231514 -1.0039189 -0.31000812 -0.84138474 -0.3614806 0.62616951 -1.90923792 1.31581474 -0.82427568], Predicted=0 X=[ 1.35723709 -0.47865728 0.29591974 0.63266486 0.37662468 -0.72377504 0.48570329 1.31165032 0.87249197 -0.17392121 -0.58047134], Predicted=0 X=[ 0.88318104 1.00967039 -1.10895244 -0.58984349 0.01042052 -1.54704289 -0.5262108 0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=0 X=[-0.89452915 1.00967039 -1.60478968 -0.49125411 0.6512778 -0.48855566 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=0 X=[ 0.40912499 0.61278301 -0.28255704 0.39605034 0.23929812 0.27590734 0.67396638 1.18124177 1.93219859 1.14055168 -0.66173945], Predicted=0 X=[-1.13155718 2.59721989 -2.76174325 -1.10250829 -0.63043676 -1.37062835 -1.32632891 -0.39034838 0.40887032 -1.13786799 -1.39315246], Predicted=0 X=[-2.07966928 -1.12359927 -0.94367336 -0.13633233 0.05619604 0.39351704 0.17977578 -0.2097827 -0.05475133 0.527131 -0.49920323], Predicted=0 X=[-1.25007119 -0.57787912 -0.28255704 -1.04335466 0.05619604 0.04068796 -0.17321751 -0.67791594 0.47510198 -0.34918426 -0.09286267], Predicted=0 X=[ 3.49048932 -0.28021359 3.35358273 0.71153637 0.46817572 0.04068796 2.03887375 1.2280551 -0.8495313 -0.52444731 -0.41793512], Predicted=0 X=[ 3.72751734 6.26842813 0.70911744 -0.94476527 0.46817572 -0.07692173 1.00342678 0.9271123 -0.51837298 -0.26155273 -0.41793512], Predicted=0 X=[ 0.17209696 -1.57009756 -1.19159198 -0.29407534 0.4224002 -0.48855566 -0.26734905 0.42554098 0.67379698 -0.69971036 -0.90554379], Predicted=0 X=[-0.77601514 -1.17321019 0.04800112 -0.9250474 -0.35578364 2.92212543 0.34450598 -1.04573491 0.93872363 3.24370831 1.20742712], Predicted=1 X=[-2.19818329 0.21589563 -0.03463842 -0.53068986 -0.7219878 1.09917519 0.81516369 -1.78137286 1.13741862 -1.66365715 2.02010823], Predicted=1 X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=0 X=[ 0.76466702 -0.67710097 2.85774549 0.88899726 -0.035355 0.15829765 -0.12615174 1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=0 X=[ 1.12020906 0.11667379 -0.94367336 0.61294698 0.46817572 0.51112673 1.75647912 1.04414561 -0.71706797 1.05292016 -0.9868119 ], Predicted=0 X=[-0.30195909 0.8112267 -0.36519658 -0.94476527 -1.13396748 -0.6649702 -1.25573025 -1.46371102 1.46857694 1.05292016 1.53249956], Predicted=1 X=[-0.89452915 2.69644174 -1.52215014 0.67210061 -0.67621228 -0.95899443 -0.31441482 0.55929333 1.13741862 -0.17392121 -0.2553989 ], Predicted=0 X=[-0.77601514 0.31511748 -1.0263129 -0.01802507 -0.21845708 0.86395581 1.87414355 0.02428392 -0.25344632 0.96528863 -0.41793512], Predicted=0 X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=0 X=[-0.65750113 -0.37943543 3.35358273 -0.98420103 5.77813603 -0.6649702 -0.71447388 -0.27665888 0.54133365 -0.87497341 -0.49920323], Predicted=0 X=[ 0.88318104 -0.0817699 1.53551285 -0.62927925 -0.12690604 -0.42975081 0.32097309 -0.91532637 -1.11445795 0.35186795 0.71981845], Predicted=0 X=[ 0.64615301 -0.28021359 -0.36519658 0.08056431 -1.179743 -0.25333627 -0.59680945 -0.21647032 -0.38590965 -1.75128867 0.23220977], Predicted=0 X=[ 1.71277913 0.21589563 0.2132802 0.71153637 -0.17268156 -0.13572658 0.72103215 1.39524554 0.27640699 0.1766049 -0.9868119 ], Predicted=0 X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715 -0.44733468 -1.07660412 -0.50267791 0.02762773 1.13741862 1.66634084 -0.33666701], Predicted=0 X=[-0.65750113 0.71200485 -0.28255704 -0.13633233 -0.4931102 -1.60584774 -0.97333563 -0.44384932 0.54133365 -0.69971036 0.394746 ], Predicted=0 X=[ 1.83129314 -0.77632281 -0.53047566 -0.01802507 0.10197156 -0.31214112 0.10917712 0.86023613 0.40887032 0.08897337 -1.14934812], Predicted=0 X=[ 0.64615301 0.01745194 -0.69575474 1.08617602 0.33084916 -0.60616535 0.22684155 1.19461701 -0.58460464 1.14055168 -1.06808001], Predicted=0 X=[ 1.12020906 -0.57787912 -0.6131152 0.5143576 0.05619604 0.15829765 -0.14968462 0.99398848 0.40887032 0.35186795 -0.2553989 ], Predicted=0 X=[ 0.17209696 -0.28021359 0.95703606 -0.80674014 -0.035355 0.27590734 -0.47914502 -1.13267394 -0.18721466 -0.08628968 1.126159 ], Predicted=0 X=[-1.13155718 0.11667379 -0.44783612 -0.62927925 -0.4931102 -1.13540897 -0.50267791 -1.48377387 0.47510198 -0.61207884 1.69503579], Predicted=1 X=[-0.30195909 -1.37165388 0.87439652 -0.94476527 -0.17268156 0.68754127 0.03857846 -0.34353506 0.87249197 0.1766049 -0.2553989 ], Predicted=0 X=[ 0.527639 -0.18099175 1.61815239 1.24391904 0.05619604 1.4814067 0.61513416 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=0 X=[-0.30195909 1.00967039 -0.36519658 -0.68843288 -0.4931102 -1.19421382 -0.87920408 -1.62755765 -0.98199462 -1.05023647 1.61376767], Predicted=0 X=[ 0.88318104 0.8112267 1.28759423 0.96786876 0.01042052 3.03973513 1.94474221 1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=0 X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958 -0.45561214 -0.35691029 -0.12098299 0.527131 0.55728222], Predicted=0 X=[ 0.64615301 0.21589563 -0.94367336 -0.98420103 0.01042052 -1.13540897 -0.07908597 -0.41041123 -0.71706797 2.45502457 -0.09286267], Predicted=0 X=[ 1.12020906 1.40655776 -0.6131152 0.55379335 0.55972676 -0.07692173 1.42701872 1.06086466 -0.31967798 0.527131 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0.62873642 0.79163081 0.86023613 -0.71706797 -0.78734189 -0.2553989 ], Predicted=0 X=[-0.18344508 -0.0817699 -0.69575474 0.31717883 0.33084916 1.09917519 1.49761738 0.69304568 0.21017533 -0.52444731 -0.9868119 ], Predicted=0 X=[-0.53898711 -1.27243203 -0.69575474 0.27774308 0.1935226 -1.31182351 -1.65578931 -0.02921702 -0.18721466 -0.78734189 -0.49920323], Predicted=0 X=[ 0.17209696 -0.28021359 -0.36519658 1.73686595 0.05619604 0.27590734 0.76809792 1.39524554 0.21017533 -0.34918426 -0.9868119 ], Predicted=0 X=[-0.18344508 0.8112267 -0.44783612 0.37633246 -0.53888572 -0.37094597 -1.3498618 -0.84176257 -1.51184794 -0.87497341 1.61376767], Predicted=0 X=[ 0.76466702 -0.57787912 -0.36519658 -0.31379322 0.1935226 -0.13572658 -1.20866448 -0.00915417 -0.31967798 -0.61207884 -0.49920323], Predicted=0 X=[ 0.40912499 -0.37943543 -0.36519658 -0.82645801 -0.40155916 0.09949281 -0.8556712 -0.67791594 0.54133365 1.31581474 0.394746 ], Predicted=0 X=[ 1.35723709 -0.37943543 -0.28255704 2.18051818 0.46817572 0.45232188 1.07402544 1.89681687 -0.91576296 0.08897337 -1.06808001], Predicted=0 X=[-0.89452915 1.00967039 -1.10895244 0.04112856 -0.58466124 -0.60616535 -0.0320202 -0.07603035 0.74002864 1.75397237 -0.09286267], Predicted=0 X=[ 0.17209696 0.71200485 -0.28255704 0.02141068 -0.81353884 -0.48855566 -1.20866448 -0.14290653 1.40234528 -0.61207884 0.71981845], Predicted=0 X=[ 3.25346129 -0.28021359 1.70079193 -1.0039189 -0.2642326 -1.13540897 0.50923618 -0.07603035 -1.64431127 -0.52444731 -0.01159456], Predicted=0 X=[-0.65750113 0.61278301 -0.44783612 1.63827657 0.05619604 0.80515096 1.40348584 1.2280551 0.27640699 -0.26155273 -0.82427568], Predicted=0 X=[ 0.05358295 -0.28021359 -0.6131152 -0.23492171 -0.99664092 0.04068796 -0.07908597 0.25835054 -0.18721466 2.01686694 0.15094166], Predicted=0 X=[ 0.17209696 0.41433932 0.13064066 -0.96448315 -0.31000812 -0.6649702 -0.31441482 -0.74479212 -0.12098299 1.31581474 1.36996334], Predicted=0 X=[-0.53898711 1.60500145 -0.6131152 -0.86589377 0.37662468 -0.90018958 0.97989389 0.39210289 2.59451523 0.70239405 -0.41793512], Predicted=0 X=[-0.4204731 -0.37943543 -0.44783612 -1.04335466 -0.53888572 -0.5473605 -1.30279603 -1.58743194 0.40887032 -1.40076257 1.45123145], Predicted=1 X=[-0.4204731 -1.47087572 -0.53047566 -0.74758651 -0.4931102 -0.19453143 -1.46752623 -0.87854447 0.14394366 2.36739305 0.6656397 ], Predicted=1 X=[-0.06493106 0.91044854 1.45287331 1.06645815 -0.08113052 1.56961397 0.57983483 1.19461701 0.01148034 -0.43681578 -1.39315246], Predicted=0 X=[-0.65750113 -0.77632281 0.29591974 1.06645815 -0.035355 1.33439458 -0.1967504 0.38875908 0.077712 -1.22549952 0.23220977], Predicted=0 X=[ 1.00169505 -0.18099175 -0.11727796 -1.02363678 -0.2642326 -0.5473605 -0.50267791 -0.34353506 0.14394366 0.61476253 0.23220977], Predicted=0 X=[-1.25007119 -0.47865728 -0.1999175 -0.57012562 -0.08113052 -0.01811689 0.46217041 -1.35336532 0.01148034 -1.05023647 1.28869523], Predicted=0 X=[ 0.527639 0.41433932 -0.86103382 1.4410978 0.1935226 0.80515096 1.37995295 1.49555981 0.077712 -0.26155273 -1.47442057], Predicted=0 X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=0 X=[ 0.88318104 0.31511748 -0.77839428 -0.90532952 -0.40155916 0.2171025 0.27390732 -0.91198256 -0.91576296 -0.43681578 1.04489089], Predicted=0 X=[ 0.05358295 -0.57787912 -0.1999175 -0.01802507 -0.76776332 0.33471219 -0.17321751 -0.25659603 -0.71706797 0.00134185 0.23220977], Predicted=0 X=[-0.4204731 0.11667379 -0.28255704 0.54393441 0.23929812 -0.60616535 0.65043349 -0.21312651 0.34263866 0.61476253 0.6656397 ], Predicted=0 X=[-1.13155718 -1.37165388 -1.10895244 -0.94476527 -0.2642326 -0.5473605 -0.57327657 -0.99557778 0.40887032 -0.34918426 0.71981845], Predicted=0 X=[ 0.88318104 0.71200485 1.0396756 1.63827657 0.05619604 -0.13572658 0.29744021 1.02408276 -1.04822629 0.35186795 -0.17413078], Predicted=0 X=[-1.48709922 -1.27243203 -0.1999175 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Predicted=0 X=[ 0.527639 -1.07398834 -0.77839428 0.33689671 3.44358451 -0.19453143 0.55630195 0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=0 X=[-0.89452915 -0.57787912 1.28759423 -0.96448315 0.23929812 -1.01779928 -1.20866448 -0.41041123 0.74002864 -0.26155273 -0.74300757], Predicted=0 X=[ 0.40912499 2.29955436 -0.77839428 0.71153637 2.16186995 -0.01811689 1.37995295 1.36180745 1.46857694 -0.17392121 -1.23061624], Predicted=0 X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=0 X=[-0.30195909 0.51356116 -0.11727796 1.81573746 0.37662468 1.56961397 2.08593952 1.10767798 0.40887032 0.61476253 -0.09286267], Predicted=0 X=[ 0.88318104 0.41433932 0.13064066 -0.94476527 2.11609443 -0.6649702 -0.00848731 0.11791056 0.01148034 -0.43681578 -0.58047134], Predicted=0 X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164 0.10197156 0.27590734 0.74456503 -0.07603035 2.99190522 0.43949948 -0.41793512], Predicted=0 X=[-0.18344508 1.30733592 -0.77839428 -0.19548596 -0.4931102 -0.13572658 -0.54974368 -1.31323962 -0.45214131 -0.43681578 1.93342224], Predicted=1 X=[ 2.89791925 0.31511748 1.28759423 -1.0039189 -0.17268156 -0.07692173 0.20330866 0.25835054 -0.51837298 -0.26155273 -0.58047134], Predicted=0 X=[ 1.00169505 -1.17321019 0.2132802 -0.09689658 0.37662468 -0.60616535 0.22684155 0.5860438 0.40887032 0.43949948 -0.2553989 ], Predicted=0 X=[-1.3685852 0.01745194 -0.44783612 -0.82645801 -1.22551852 -1.19421382 -1.72638797 -1.27980153 -0.8495313 0.26423642 0.55728222], Predicted=0 X=[-0.4204731 -0.57787912 -0.11727796 -0.82645801 -0.81353884 0.04068796 -1.09100005 -1.09254824 0.54133365 0.87765711 1.126159 ], Predicted=1 X=[-1.13155718 -0.67710097 -0.1999175 -0.90532952 -0.58466124 0.56993158 0.08564423 -1.40017865 1.07118696 0.08897337 1.7763039 ], Predicted=1 X=[ 1.71277913 -0.18099175 -0.1999175 -0.86589377 -0.76776332 -1.25301866 0.06211135 -1.08920443 -1.5780796 2.45502457 1.36996334], Predicted=1 X=[-0.4204731 -0.18099175 -0.1999175 -0.55040774 -0.7219878 0.04068796 -1.09100005 -1.25973868 0.21017533 1.14055168 1.69503579], Predicted=1 X=[ 1.12020906 6.81414827 2.19662917 11.71411154 1.29213508 -1.60584774 0.50923618 15.03129798 1.33611362 1.75397237 0.96362278], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 -0.9250474 -0.44733468 -0.13572658 -0.87920408 -0.29337792 0.14394366 0.43949948 0.23220977], Predicted=0 X=[ 0.05358295 1.10889223 0.54383836 -0.35322897 -1.08819196 -1.78226228 -2.80890071 -0.84510638 0.8062603 -1.05023647 1.69503579], Predicted=0 X=[-1.48709922e+00 -1.80991745e-01 1.37023377e+00 9.87586640e-01 -7.67763319e-01 -6.06165351e-01 -1.06746717e+00 8.44724758e-02 2.76406991e-01 1.34184656e-03 -1.15945603e-02], Predicted=0 X=[ 0.40912499 1.10889223 2.44454779 0.90871513 -0.08113052 1.15798004 0.41510463 1.12774083 -0.6508363 -0.43681578 -1.47442057], Predicted=0 X=[ 0.40912499 0.71200485 0.04800112 1.18476541 0.23929812 -1.72345743 -2.38530877 0.12459818 -0.38590965 -0.87497341 0.80108656], Predicted=0 X=[-1.25007119 -1.27243203 -0.1999175 -0.09689658 -0.44733468 -1.66465259 -1.53812488 -0.83841876 0.077712 -0.52444731 1.126159 ], Predicted=0 X=[ 2.18683518 1.70422329 0.54383836 -0.96448315 0.97170644 -1.07660412 -0.90273697 0.55929333 0.54133365 0.70239405 -0.33666701], Predicted=0 X=[-0.4204731 0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173 -1.13806583 -0.72807307 1.20365029 1.66634084 0.394746 ], Predicted=0 X=[ 2.77940524 -1.17321019 1.28759423 -0.86589377 -0.08113052 -1.01779928 -0.73800677 0.37204004 -0.58460464 0.35186795 -0.2553989 ], Predicted=0 X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713 -2.59710474 -1.57740052 0.077712 -1.13786799 1.20742712], Predicted=1 X=[-0.77601514 -0.18099175 -0.36519658 -0.86589377 -0.44733468 -1.13540897 -1.20866448 -1.07582919 0.93872363 1.05292016 1.04489089], Predicted=0 X=[ 0.76466702 0.41433932 1.28759423 -0.9250474 -0.67621228 0.51112673 -0.690941 -1.14604918 -0.78329963 -0.26155273 1.61376767], Predicted=0 X=[ 2.54237721 0.31511748 1.20495468 0.04112856 -0.12690604 -1.4294332 -1.53812488 -0.07603035 -1.90923792 -0.96260494 0.88235467], Predicted=0 X=[ 0.88318104 0.11667379 -0.6131152 0.02141068 -0.17268156 -0.19453143 0.50923618 0.12459818 -0.31967798 -0.17392121 0.15094166], Predicted=0 X=[-0.06493106 -1.07398834 0.2132802 -0.98420103 -0.44733468 0.15829765 -0.71447388 -1.32661485 0.01148034 1.49107779 1.20742712], Predicted=1 X=[ 0.64615301 -0.77632281 0.2132802 -1.02363678 -0.35578364 0.51112673 -0.64387523 -0.47728741 1.13741862 -1.31313104 -0.49920323], Predicted=0 X=[-0.77601514 0.21589563 -0.44783612 -0.94476527 -0.44733468 -0.42975081 -0.76153965 -1.93351616 -0.31967798 -0.69971036 2.26391257], Predicted=1 X=[ 0.17209696 -0.37943543 -0.28255704 0.06084644 -0.31000812 0.09949281 -0.31441482 0.11122295 0.077712 -0.87497341 -0.49920323], Predicted=0 X=[-0.30195909 0.51356116 0.54383836 -0.73772757 -0.21845708 -0.01811689 -1.23219737 -1.62755765 -0.51837298 -0.87497341 2.26391257], Predicted=1 X=[-0.18344508 -0.57787912 -0.03463842 -1.02363678 -0.44733468 0.04068796 -1.23219737 -1.15273679 -0.58460464 2.36739305 0.71981845], Predicted=0 X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 -0.25333627 -0.50267791 1.3785265 0.54133365 -1.75128867 -1.06808001], Predicted=0 X=[ 1.12020906 -0.87554465 -0.6131152 0.49463972 -0.31000812 0.39351704 1.02695966 0.6596076 -0.05475133 -0.26155273 -0.49920323], Predicted=0 X=[ 0.527639 0.61278301 0.46119882 -0.23492171 -0.2642326 0.56993158 0.57983483 -0.5107255 0.74002864 -0.17392121 1.53249956], Predicted=0 X=[-0.53898711 -0.47865728 -0.11727796 -0.88561164 -0.35578364 0.27590734 -0.47914502 -1.09923585 0.87249197 0.35186795 1.04489089], Predicted=0 X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658 0.05619604 -0.37094597 -0.87920408 -0.41709885 -0.25344632 -0.78734189 0.394746 ], Predicted=0 X=[ 1.59426511 0.66239393 5.50221078 2.32840225 0.05619604 1.15798004 1.56821604 1.88009782 -1.51184794 -0.52444731 -0.74300757], Predicted=0 X=[ 0.76466702 0.01745194 -0.03463842 0.2580252 0.10197156 0.39351704 0.97989389 1.12774083 1.20365029 0.87765711 -0.33666701], Predicted=0 X=[ 0.17209696 0.8112267 -0.11727796 0.7213953 -0.035355 0.09949281 -0.17321751 -0.169657 -0.6508363 -1.40076257 0.96362278], Predicted=0 X=[-0.4204731 -1.07398834 1.70079193 0.41576822 1.65833924 1.68722366 0.57983483 0.62616951 -1.97546959 -0.87497341 -1.39315246], Predicted=0 X=[-0.06493106 1.50577961 -0.6131152 -0.23492171 -0.12690604 0.27590734 0.88576235 -0.95879588 -0.12098299 -0.69971036 1.45123145], Predicted=0 X=[ 1.00169505 0.21589563 -0.6131152 2.47628633 0.33084916 0.04068796 0.83869658 1.91687972 0.077712 0.08897337 -0.09286267], Predicted=0 X=[-0.65750113 0.51356116 -1.10895244 2.26924862 0.92593092 0.04068796 0.53276906 1.69618834 -0.31967798 0.1766049 -1.39315246], Predicted=0 X=[-1.3685852 1.30733592 -1.0263129 -0.88561164 0.10197156 -0.31214112 -0.62034234 -0.88523209 0.67379698 0.527131 0.55728222], Predicted=0 X=[ 0.527639 0.01745194 0.13064066 -0.94476527 0.37662468 -0.25333627 0.22684155 -0.75147973 -0.05475133 -0.17392121 0.15094166], Predicted=0 X=[ 2.06832116 0.61278301 0.2132802 -0.98420103 -0.035355 -1.4294332 -0.45561214 0.51248001 -0.12098299 -0.17392121 -0.90554379], Predicted=0 X=[ 0.527639 1.10889223 0.29591974 -1.04335466 -0.12690604 0.04068796 -0.59680945 -1.01229682 1.33611362 -0.08628968 1.7763039 ], Predicted=0 X=[ 0.88318104 1.90266698 1.28759423 1.30307267 8.84509586 0.39351704 1.92120932 1.59587407 -1.51184794 0.1766049 -1.06808001], Predicted=0 X=[ 0.34986798 -1.07398834 -0.77839428 0.63266486 3.35203347 1.21678489 0.93282812 0.5860438 -0.25344632 -0.43681578 -0.2553989 ], Predicted=0 X=[-1.3685852 -0.18099175 -0.53047566 -0.45181836 7.1056261 2.2458697 1.20345631 0.05772201 0.54133365 -0.96260494 -0.90554379], Predicted=0 X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604 1.62841881 0.25037443 -0.5107255 1.66727194 0.26423642 0.23220977], Predicted=0 X=[-1.01304317 -0.87554465 -0.36519658 -1.02363678 0.01042052 -0.37094597 -1.09100005 -1.23633202 0.21017533 0.35186795 0.63855033], Predicted=0 X=[-0.06493106 0.8112267 -0.11727796 -0.94476527 -0.31000812 -1.48823805 -0.33794771 0.25835054 0.74002864 1.57870931 -0.74300757], Predicted=0 X=[ 0.88318104 0.8112267 1.28759423 0.96786876 0.01042052 3.03973513 1.94474221 1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=0 X=[-0.4204731 -0.47865728 0.46119882 -0.88561164 -0.44733468 0.33471219 -0.94980274 -1.34667771 0.01148034 -0.52444731 1.126159 ], Predicted=0 X=[ 0.76466702 -0.9747665 -0.1999175 0.02141068 -0.76776332 1.04037035 0.50923618 -0.42378647 -1.04822629 -0.96260494 0.31347789], Predicted=0 X=[-1.01304317 1.10889223 -0.6131152 -0.72786863 -0.35578364 0.2171025 1.14462409 -0.25993983 1.46857694 0.08897337 0.23220977], Predicted=0 X=[-0.65750113 -0.18099175 0.70911744 0.13971794 -0.035355 1.56961397 1.66234758 0.4723543 0.077712 0.35186795 -0.82427568], Predicted=0 X=[-0.06493106 0.01745194 0.29591974 0.12000007 0.51395124 -0.01811689 1.63881469 1.09430274 2.52828357 0.527131 -0.2553989 ], Predicted=0 X=[ 2.30534919 0.51356116 0.2132802 -0.84617589 -0.53888572 -0.95899443 -0.31441482 -0.79160544 -1.51184794 4.29528662 1.7763039 ], Predicted=1 X=[-0.83527215 -0.67710097 0.29591974 -0.62927925 -1.13396748 -0.90018958 -1.37339468 -1.09254824 1.33611362 -0.17392121 1.20742712], Predicted=1 X=[-0.89452915 0.61278301 -0.1999175 1.1058939 0.33084916 0.62873642 2.34480127 1.2280551 -0.18721466 -0.08628968 -1.55568868], Predicted=0 X=[-0.30195909 -0.47865728 -0.53047566 -0.15605021 -0.12690604 0.45232188 0.60336772 0.42554098 0.54133365 2.36739305 -0.82427568], Predicted=0 X=[ 1.00169505 0.11667379 1.20495468 -0.80674014 0.14774708 0.04068796 0.93282812 -0.31009697 -0.12098299 1.31581474 0.06967355], Predicted=0 X=[-0.53898711 3.98632571 -0.6131152 -0.58984349 1.06325748 -0.60616535 0.17977578 -0.18637604 -0.05475133 -0.78734189 -0.9868119 ], Predicted=0 X=[-0.77601514 0.01745194 0.79175698 1.30307267 -0.31000812 1.68722366 2.22713684 1.14445988 -0.71706797 -0.96260494 -1.31188435], Predicted=0 X=[ 0.29061097 0.8112267 -0.77839428 -0.90532952 -0.9508654 -0.19453143 -0.8556712 -1.24636344 1.0049553 0.87765711 1.85757201], Predicted=1 X=[ 1.12020906 -0.28021359 0.04800112 1.4410978 -0.08113052 1.80483335 1.07402544 1.91687972 0.21017533 2.27976152 -1.31188435], Predicted=0 X=[ 0.29061097 -0.28021359 -0.11727796 0.77069 -0.21845708 1.80483335 3.14491938 0.96055039 -0.12098299 0.26423642 -1.14934812], Predicted=0 X=[-0.53898711 -0.0817699 -1.19159198 -0.86589377 1.74989028 -0.84138474 1.23875564 0.37872765 1.99843026 1.22818321 -0.74300757], Predicted=0 X=[-0.30195909 -1.17321019 -1.0263129 0.06084644 0.4224002 0.45232188 0.43863752 -0.06265511 -0.25344632 0.26423642 0.23220977], Predicted=0 X=[ 0.76466702 -1.17321019 0.37855928 1.24391904 -0.12690604 2.06945516 0.57983483 1.01405133 -0.25344632 2.8931822 -0.09286267], Predicted=0 X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=0 X=[ 0.88318104 -0.28021359 0.04800112 -1.0039189 0.46817572 -0.07692173 0.88576235 0.10453533 -0.58460464 0.1766049 -0.82427568], Predicted=0 X=[ 1.23872307 -1.37165388 -0.44783612 -0.90532952 -0.21845708 0.51112673 0.93282812 0.45897907 1.7335036 -0.52444731 -1.06808001], Predicted=0 X=[-0.77601514 1.80344514 -0.69575474 -0.39266473 0.92593092 1.56961397 1.61528181 -0.04259226 0.40887032 0.26423642 -0.58047134], Predicted=0 X=[ 0.29061097 -0.47865728 0.13064066 1.99319835 -0.2642326 1.45200427 0.76809792 1.66275025 -0.18721466 0.87765711 -1.14934812], Predicted=0 X=[ 1.4757511 -0.0817699 -0.03463842 -1.0039189 -0.035355 -0.5473605 -0.90273697 -1.12598632 -1.37938461 -0.43681578 1.53249956], Predicted=0 X=[ 0.76466702 0.11667379 -0.1999175 0.50449866 0.4224002 -0.90018958 0.29744021 0.9271123 -0.71706797 0.43949948 -0.9868119 ], Predicted=0 X=[-0.65750113 -0.37943543 -0.36519658 -0.94476527 0.28507364 0.74634612 1.09755832 -0.2097827 0.14394366 0.08897337 -0.90554379], Predicted=0 X=[-1.01304317 0.11667379 -1.0263129 1.80587852 -0.12690604 -0.90018958 0.08564423 0.85354851 -0.51837298 0.43949948 -0.33666701], Predicted=0 X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=0 X=[-1.01304317 3.09332911 -2.76174325 -1.10250829 -0.40155916 -0.31214112 -1.0204014 -1.23967582 -0.58460464 -0.78734189 0.31347789], Predicted=0 X=[ 0.05358295 0.21589563 -0.36519658 -1.0039189 0.33084916 -0.6649702 1.19168986 -0.13621891 0.67379698 0.43949948 -0.49920323], Predicted=0 X=[ 0.527639 0.01745194 0.13064066 -0.94476527 0.37662468 -0.25333627 0.22684155 -0.75147973 -0.05475133 -0.17392121 0.15094166], Predicted=0 X=[-1.01304317 -1.17321019 -0.28255704 0.06084644 -0.12690604 0.45232188 0.34450598 0.3586648 2.92567355 -0.26155273 0.06967355], Predicted=0 X=[-1.96115527 1.00967039 -0.6131152 0.2580252 0.33084916 -0.90018958 -0.83213831 -0.5107255 0.54133365 -0.34918426 1.36996334], Predicted=0 X=[-0.4204731 0.01745194 0.13064066 1.77630171 -0.17268156 1.15798004 1.33288718 1.26149319 0.27640699 0.08897337 -0.74300757], Predicted=0 X=[ 0.88318104 -0.0817699 -0.69575474 1.48053356 0.1935226 0.56993158 1.42701872 1.46212172 1.0049553 0.08897337 -0.58047134], Predicted=0 X=[ 2.54237721 0.21589563 1.28759423 0.15943582 -0.31000812 -0.19453143 -1.27926314 -0.07603035 -1.64431127 -1.48839409 0.80108656], Predicted=0 X=[-0.18344508 2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989 -0.40854637 -1.71449668 -0.25344632 0.35186795 1.7763039 ], Predicted=0 X=[-1.13155718 0.51356116 -0.11727796 0.33689671 -0.35578364 -1.54704289 -2.45590743 -0.97885873 0.21017533 -1.13786799 1.7763039 ], Predicted=1 X=[-1.01304317 0.41433932 -0.03463842 0.69181849 -0.63043676 -0.78257989 -1.13806583 -0.48397503 -0.58460464 -0.52444731 1.28869523], Predicted=0 X=[ 3.01643326 -0.18099175 1.61815239 -1.02363678 0.05619604 -0.60616535 -0.690941 -0.64447785 0.27640699 -1.8389202 1.61376767], Predicted=0 X=[-1.25007119 0.21589563 -0.03463842 -0.57012562 -0.58466124 -0.60616535 -0.5262108 -1.1560806 0.077712 -0.43681578 0.96362278], Predicted=0 X=[ 1.23872307 0.01745194 0.6264779 -0.29407534 0.55972676 -0.25333627 0.34450598 0.86023613 0.54133365 0.1766049 -0.66173945], Predicted=0 X=[-2.19818329 0.51356116 -0.86103382 1.06645815 -0.7219878 -0.72377504 0.46217041 -0.26997126 1.46857694 1.31581474 1.04489089], Predicted=1 X=[-0.4204731 -1.47087572 0.29591974 -1.06307253 -0.44733468 0.74634612 -0.57327657 -0.97885873 1.46857694 0.1766049 0.80108656], Predicted=1 X=[ 1.59426511 -0.47865728 0.54383836 0.21858945 0.14774708 -1.37062835 -1.46752623 0.86023613 -0.8495313 3.06844526 -0.66173945], Predicted=0 X=[-1.25007119 0.31511748 -0.03463842 -1.02363678 -0.44733468 -0.72377504 -0.92626985 -0.81166829 -0.05475133 0.96528863 -0.01159456], Predicted=0 X=[ 0.05358295 0.51356116 -1.0263129 -1.06307253 0.33084916 0.2171025 0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=0 X=[-2.07966928 0.71200485 -0.6131152 0.08056431 -0.53888572 0.04068796 -0.43207925 -0.71804165 1.26988195 -0.78734189 0.80108656], Predicted=0 X=[ 0.64615301 -1.71893033 0.04800112 1.14532965 0.1935226 1.27558973 0.17977578 1.09430274 -0.18721466 -1.05023647 -1.23061624], Predicted=0 X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=0 X=[ 0.05358295 1.80344514 -1.10895244 -1.08279041 0.37662468 -1.78226228 -0.29088194 -0.67791594 -0.58460464 -0.61207884 -0.09286267], Predicted=0 X=[-1.48709922e+00 4.14339320e-01 -3.46384190e-02 1.98871573e-01 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=0 X=[-0.53898711 -0.28021359 -0.03463842 -0.98420103 -0.2642326 0.39351704 -0.54974368 -1.14604918 0.01148034 -0.08628968 0.63855033], Predicted=0 X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=0 X=[-0.06493106 -0.47865728 -0.11727796 0.43548609 0.01042052 0.68754127 0.48570329 0.16472389 -0.71706797 0.26423642 -0.01159456], Predicted=0 X=[ 0.40912499 0.31511748 1.37023377 1.3622263 0.46817572 1.92244304 1.33288718 1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=0 X=[-1.01304317 -0.18099175 -1.52215014 -1.02363678 0.33084916 -0.01811689 -0.33794771 -0.18637604 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[-0.4204731 2.00188883 -2.59646417 -1.08279041 -0.12690604 -0.19453143 -0.92626985 -0.59097691 -0.31967798 -0.17392121 -0.58047134], Predicted=0 X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=0 X=[ 1.23872307 0.61278301 0.87439652 0.02141068 -0.85931436 0.68754127 -0.29088194 -0.93204541 -1.51184794 -1.05023647 1.61376767], Predicted=1 X=[ 1.12020906 -0.0817699 -0.03463842 -0.78702226 0.33084916 0.04068796 0.86222946 -0.67791594 0.077712 0.527131 0.394746 ], Predicted=0 X=[-1.01304317 0.41433932 -0.28255704 -1.0039189 -0.9508654 -1.01779928 -0.62034234 -2.00875186 -0.78329963 1.31581474 2.26391257], Predicted=1 X=[-0.4204731 -0.28021359 -0.11727796 0.69181849 -0.035355 0.33471219 -0.24381617 0.77998471 -0.05475133 0.26423642 -0.74300757], Predicted=0 X=[ 0.17209696 -0.37943543 1.12231514 -1.0039189 -0.12690604 -1.01779928 -0.17321751 -0.75816735 0.01148034 -0.34918426 0.394746 ], Predicted=0 X=[-1.3685852 0.01745194 0.13064066 -1.02363678 0.28507364 0.2171025 0.06211135 -0.98554635 1.66727194 1.75397237 0.63855033], Predicted=0 X=[ 0.05358295 0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958 0.65043349 -0.65116547 -0.91576296 0.43949948 -0.58047134], Predicted=0 X=[-0.06493106 0.51356116 -0.1999175 0.19887157 -0.035355 -0.07692173 0.10917712 -0.59097691 -0.8495313 0.527131 1.36996334], Predicted=0 X=[-0.06493106 -0.47865728 -0.36519658 1.14532965 -0.4931102 0.15829765 2.29773549 1.19461701 1.07118696 0.26423642 -0.58047134], Predicted=0 X=[-0.18344508 1.60500145 -0.1999175 -0.88561164 -0.7219878 0.33471219 -0.80860543 -1.34667771 0.67379698 1.14055168 1.69503579], Predicted=1 X=[ 0.40912499 2.20033252 -2.76174325 -1.10250829 -0.53888572 0.62873642 -0.57327657 -0.27665888 0.01148034 -1.31313104 -1.06808001], Predicted=0 X=[ 1.59426511 -0.9747665 1.28759423 -1.04335466 -0.58466124 -0.42975081 -1.3498618 -0.57760167 -1.24692128 1.66634084 -0.09286267], Predicted=0 X=[ 0.88318104 0.31511748 -0.86103382 1.24391904 0.37662468 -0.90018958 0.01504558 1.44874648 -0.18721466 0.08897337 -0.66173945], Predicted=0 X=[-0.06493106 -0.87554465 0.54383836 0.68195955 0.4224002 0.33471219 -0.83213831 0.43222859 -1.37938461 0.61476253 -0.01159456], Predicted=0 X=[-0.53898711 -0.18099175 -0.69575474 0.8495615 0.01042052 1.80483335 0.95636101 0.67967045 -0.12098299 0.527131 -0.49920323], Predicted=0 X=[-0.89452915 1.00967039 1.12231514 -0.98420103 0.23929812 1.39319943 1.68588046 -0.31344078 0.34263866 0.08897337 -0.74300757], Predicted=0 X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774 0.51395124 -1.31182351 -1.25573025 0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=0 X=[ 1.12020906 0.41433932 -0.03463842 -0.78702226 -0.40155916 -1.01779928 -0.87920408 -0.94542065 0.14394366 1.40344626 0.96362278], Predicted=0 X=[ 0.88318104 0.06706287 -0.11727796 1.61855869 0.78860436 -0.19453143 1.47408449 1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=0 X=[-0.65750113 2.69644174 0.95703606 1.30307267 0.05619604 -0.13572658 1.02695966 1.12774083 0.077712 -0.26155273 -1.06808001], Predicted=0 X=[ 0.29061097 -0.47865728 0.46119882 1.4410978 0.55972676 -0.5473605 0.79163081 1.17789797 -1.90923792 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X=[-0.65750113 -0.57787912 0.79175698 -0.36308791 -0.35578364 -0.25333627 -0.1967504 -0.74479212 1.07118696 -1.40076257 0.80108656], Predicted=0 X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805 -0.71447388 -0.53413216 0.60756531 0.08897337 -0.41793512], Predicted=0 X=[-2.07966928 0.26550655 -1.68742922 -0.91518846 -0.44733468 -1.07660412 -1.53812488 -1.34667771 1.40234528 0.1766049 1.47832082], Predicted=0 X=[-0.06493106 0.11667379 0.04800112 -0.57012562 0.37662468 -0.5473605 1.19168986 0.28844481 1.53480861 0.79002558 -0.09286267], Predicted=0 X=[-0.77601514 4.78010047 -2.67910371 -0.62927925 -0.21845708 -1.01779928 -0.43207925 -1.25973868 0.077712 3.94476052 2.58898502], Predicted=0 X=[-0.77601514 -0.77632281 -0.6131152 -0.9250474 2.16186995 0.27590734 0.53276906 -0.54416359 1.66727194 1.49107779 0.394746 ], Predicted=0 X=[ 0.88318104 0.66239393 -0.6131152 -0.88561164 -0.12690604 -1.19421382 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=0 X=[-0.18344508 0.21589563 -0.36519658 -0.70815075 -0.9508654 0.09949281 -0.73800677 -0.8150121 0.8062603 1.22818321 0.63855033], Predicted=0 X=[-0.06493106 0.41433932 -0.11727796 0.45520397 -0.76776332 -0.25333627 -0.78507254 -0.85848162 -1.24692128 -1.31313104 1.45123145], Predicted=0 X=[ 1.59426511 -0.57787912 1.28759423 0.63266486 -0.40155916 1.04037035 0.36803886 0.3586648 -1.11445795 -1.40076257 0.06967355], Predicted=0 X=[-0.30195909 -0.18099175 -0.94367336 2.31854331 0.1935226 -0.72377504 0.01504558 1.67612548 -0.8495313 0.08897337 -1.06808001], Predicted=0 X=[-0.30195909 -1.07398834 -0.6131152 0.19887157 0.28507364 0.56993158 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=0 X=[-2.67223934 1.65461237 -2.76174325 -0.98420103 0.33084916 -1.4294332 0.93282812 0.07778486 3.98538018 0.527131 -0.2553989 ], Predicted=0 X=[ 0.76466702 0.41433932 0.29591974 -1.02363678 0.10197156 -0.78257989 1.07402544 -0.07603035 -0.6508363 -0.52444731 -0.9868119 ], Predicted=0 X=[-0.53898711 0.01745194 -0.44783612 -0.668715 -0.2642326 -0.95899443 -0.94980274 -0.624415 0.40887032 -0.17392121 0.47601411], Predicted=0 X=[ 0.76466702 1.40655776 0.04800112 -0.4123826 -0.2642326 -0.07692173 -0.71447388 -0.82838734 -0.31967798 -0.34918426 1.85757201], Predicted=0 X=[-1.48709922 2.10111067 -1.68742922 -0.37294685 -0.31000812 -1.07660412 -0.5262108 -1.11261109 1.53480861 3.59423441 2.58898502], Predicted=1 X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836 0.37662468 -0.72377504 -0.5262108 -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=0 X=[ 0.88318104 0.41433932 0.04800112 2.35797907 0.37662468 0.51112673 1.37995295 2.26463584 0.21017533 0.527131 -1.23061624], Predicted=0 X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173 -1.13806583 -1.18951869 -2.04170125 -0.17392121 0.55728222], Predicted=0 X=[-1.25007119 2.59721989 -2.76174325 -0.98420103 -0.58466124 0.27590734 -0.73800677 -1.62087003 0.47510198 -1.22549952 1.53249956], Predicted=0 X=[ 2.77940524 -0.28021359 0.04800112 -1.02363678 -0.90508988 -0.25333627 -1.06746717 -0.81166829 -1.71054293 -1.05023647 0.63855033], Predicted=0 X=[ 2.30534919 -0.37943543 -0.86103382 0.77069 -0.63043676 -1.37062835 -0.97333563 0.56263714 -0.38590965 -0.78734189 0.15094166], Predicted=0 X=[-1.48709922 0.61278301 -0.69575474 -0.76730438 0.01042052 0.68754127 1.02695966 -1.03570348 0.14394366 -0.78734189 0.63855033], Predicted=0 X=[-0.53898711 -0.18099175 1.28759423 0.00169281 -0.40155916 0.09949281 0.53276906 0.45897907 1.26988195 0.35186795 -0.66173945], Predicted=0 X=[-0.06493106 -0.18099175 -0.11727796 0.12000007 -0.21845708 0.15829765 -0.47914502 -0.04259226 0.40887032 0.26423642 0.23220977], Predicted=0 X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=0 X=[ 0.76466702 -0.47865728 -0.36519658 -0.74758651 -0.67621228 -0.6649702 -0.94980274 -0.69797879 -1.24692128 0.43949948 0.31347789], Predicted=0 X=[ 0.76466702 0.51356116 0.46119882 1.18476541 0.8801554 -0.37094597 -0.45561214 1.12774083 -0.18721466 -0.87497341 -0.90554379], Predicted=0 X=[ 0.29061097 -1.17321019 -0.69575474 -1.0039189 -0.53888572 -0.42975081 -0.3614806 -0.84510638 0.54133365 0.527131 0.71981845], Predicted=0 X=[-0.4204731 -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504 -1.06746717 -1.01229682 1.0049553 1.84160389 1.20742712], Predicted=1 X=[ 0.29061097 0.61278301 -0.11727796 -0.86589377 0.23929812 -0.37094597 -0.1967504 -0.16296938 0.74002864 0.08897337 -0.09286267], Predicted=0 X=[-1.13155718 -1.47087572 -0.44783612 -0.88561164 0.1935226 -0.90018958 -1.42046046 -0.74479212 1.60104027 1.31581474 0.23220977], Predicted=0 X=[ 0.88318104 0.21589563 0.29591974 -0.94476527 1.88721684 -0.48855566 0.90929523 0.11791056 -0.6508363 0.08897337 -0.58047134], Predicted=0 X=[ 0.527639 -0.9747665 -0.36519658 -1.06307253 -0.44733468 -0.5473605 -0.87920408 -1.34667771 -0.6508363 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0.39210289 -0.98199462 -0.43681578 -0.74300757], Predicted=0 X=[-0.30195909 0.46395024 1.28759423 0.2580252 0.14774708 1.04037035 1.85061067 0.6596076 -0.18721466 -0.78734189 -0.9868119 ], Predicted=0 X=[-0.53898711 1.50577961 -0.53047566 -1.04335466 0.37662468 -1.78226228 -0.66740811 -0.04259226 0.34263866 0.26423642 -1.14934812], Predicted=0 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[ 0.527639 -0.37943543 0.79175698 -0.86589377 -1.13396748 -0.90018958 -1.63225643 -1.34667771 -0.71706797 0.61476253 1.36996334], Predicted=1 X=[-0.89452915 0.01745194 -0.77839428 2.67346509 1.29213508 -0.19453143 0.83869658 1.73631404 0.01148034 -0.43681578 -0.9868119 ], Predicted=0 X=[ 0.76466702 -0.67710097 2.85774549 0.88899726 -0.035355 0.15829765 -0.12615174 1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=0 X=[-0.77601514 0.21589563 0.70911744 -0.82645801 -0.44733468 -0.42975081 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-0.37943543 0.37855928 -0.4123826 -0.08113052 0.80515096 0.79163081 0.6596076 1.20365029 2.19213 0.23220977], Predicted=0 X=[ 1.4757511 -0.87554465 0.54383836 -1.08279041 -0.40155916 2.21646728 0.97989389 -0.47728741 -0.8495313 -1.31313104 -0.41793512], Predicted=0 X=[ 1.59426511 3.98632571 -0.28255704 -0.84617589 0.05619604 -1.07660412 -0.00848731 0.32522671 0.21017533 1.92923542 0.23220977], Predicted=0 X=[ 1.12020906 0.21589563 0.2132802 -0.35322897 -0.99664092 -0.90018958 1.40348584 -0.60435214 -0.8495313 1.49107779 1.126159 ], Predicted=0 X=[-0.53898711 -0.47865728 0.13064066 -0.35322897 -0.31000812 0.45232188 0.20330866 -0.624415 -0.05475133 -0.78734189 0.394746 ], Predicted=0 X=[ 1.12020906 -1.27243203 0.04800112 -1.04335466 -0.4931102 -0.25333627 -1.06746717 -1.02567206 -0.78329963 2.01686694 0.63855033], Predicted=1 X=[ 1.4757511 0.31511748 0.2132802 0.35661459 -0.81353884 -0.37094597 0.08564423 -0.5107255 -1.18068962 -1.31313104 2.02010823], Predicted=1 X=[ 0.88318104 0.31511748 1.28759423 -0.48139517 -0.08113052 -0.48855566 -0.17321751 -0.94542065 -0.71706797 1.57870931 1.85757201], Predicted=0 X=[ 1.94980715 -0.77632281 0.54383836 -1.04335466 0.01042052 -0.25333627 -0.76153965 -0.69797879 -1.24692128 -1.22549952 -0.01159456], Predicted=0 X=[-0.30195909 -0.47865728 0.29591974 0.41576822 -0.44733468 0.62873642 0.34450598 0.57935618 0.077712 -0.08628968 -0.90554379], Predicted=0 X=[-0.06493106 -0.57787912 1.28759423 -1.08279041 0.28507364 -0.5473605 -0.24381617 -1.01229682 0.40887032 -1.22549952 0.71981845], Predicted=0 X=[-1.25007119 -1.27243203 1.28759423 -1.04335466 0.10197156 -0.84138474 -0.94980274 -0.37697314 0.01148034 -0.08628968 -1.06808001], Predicted=0 X=[-0.89452915 0.01745194 -0.11727796 -0.76730438 -0.17268156 -0.72377504 1.88590999 -0.17634461 0.54133365 0.96528863 -0.58047134], Predicted=0 X=[ 3.3719753 -0.37943543 1.28759423 -0.29407534 -0.63043676 -1.89987197 -2.8324336 -0.11615605 -2.24039624 0.43949948 -0.41793512], Predicted=0 X=[-1.25007119 0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081 -1.04393428 -1.66099574 0.40887032 0.26423642 2.58898502], Predicted=1 X=[ 1.00169505 0.01745194 0.13064066 1.75658383 0.46817572 -0.25333627 -0.50267791 1.93025495 0.54133365 0.08897337 -0.74300757], Predicted=0 X=[-0.06493106 3.49021649 -2.43118509 -1.0039189 0.55972676 -0.60616535 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=0 X=[-1.48709922 -1.47087572 -0.53047566 -0.31379322 -0.81353884 -0.78257989 -0.80860543 0.25835054 1.0049553 -0.34918426 -1.06808001], Predicted=0 X=[-0.30195909 2.20033252 -0.6131152 0.96786876 -0.76776332 -0.19453143 -0.66740811 -0.33684744 0.54133365 2.5426561 1.93884012], Predicted=1 X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=0 X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=0 X=[-0.77601514 -1.27243203 1.28759423 -1.08279041 -0.58466124 -1.07660412 -2.05584837 -0.27665888 0.74002864 1.84160389 -0.90554379], Predicted=0 X=[ 0.40912499 -0.77632281 -0.44783612 -0.94476527 -0.81353884 -1.31182351 0.69749926 -0.66788451 -0.12098299 4.99633883 0.80108656], Predicted=1 X=[ 0.17209696 -0.0817699 0.6264779 2.43685057 -0.17268156 -0.07692173 0.43863752 2.06400731 -1.51184794 0.08897337 -1.14934812], Predicted=0 X=[-0.06493106 4.48243493 -1.10895244 0.04112856 0.37662468 -0.60616535 -1.72638797 -0.26328364 -0.45214131 -1.8389202 0.47601411], Predicted=0 X=[ 1.94980715 -0.18099175 -1.0263129 1.93404472 1.29213508 0.33471219 1.37995295 1.32836936 -1.11445795 0.08897337 -0.58047134], Predicted=0 X=[-1.3685852 -1.57009756 -0.6131152 -0.17576808 -0.53888572 -0.84138474 -0.92626985 -0.26328364 -0.6508363 0.70239405 -0.49920323], Predicted=0 X=[-0.77601514 -0.57787912 -0.28255704 1.18476541 0.37662468 4.2746369 0.32097309 1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=0 X=[-1.83445077e-01 6.12783009e-01 -2.82557040e-01 1.81573746e+00 3.76624679e-01 9.22760655e-01 1.35642006e+00 1.39524554e+00 1.14803354e-02 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=0 X=[ 0.88318104 0.01745194 1.28759423 2.71290085 0.6512778 -0.31214112 0.15624289 2.65251766 -1.18068962 -0.43681578 -1.6369568 ], Predicted=0 X=[ 0.29061097 1.80344514 -0.86103382 1.4410978 -0.035355 0.51112673 1.26228852 1.36180745 -0.51837298 0.35186795 -0.90554379], Predicted=0 X=[-0.89452915 0.21589563 -0.11727796 -0.82645801 -0.17268156 0.33471219 0.08564423 -1.50718053 0.8062603 -0.43681578 1.7763039 ], Predicted=1 X=[-0.4204731 -0.57787912 -0.53047566 -0.94476527 -0.31000812 0.04068796 -0.5262108 -0.75147973 1.26988195 0.70239405 0.394746 ], Predicted=0 X=[ 4.09124986e-01 -7.76322810e-01 2.13280202e-01 -7.67304383e-01 -8.13538839e-01 -7.82579890e-01 4.38637520e-01 -7.60303484e-02 1.93219859e+00 1.34184656e-03 6.96735514e-02], Predicted=0 X=[ 0.40912499 0.51356116 0.04800112 -0.86589377 -0.08113052 1.51080912 0.76809792 -1.52389958 0.40887032 0.35186795 2.26391257], Predicted=1 X=[-1.84264125 -0.18099175 -0.86103382 -0.24478065 -0.53888572 0.74634612 0.50923618 0.39210289 4.18407517 0.1766049 -0.01159456], Predicted=0 X=[-0.53898711 0.71200485 1.45287331 0.27774308 0.4224002 1.04037035 0.90929523 0.33191433 -0.45214131 -0.34918426 -0.74300757], Predicted=0 X=[-0.30195909 -0.28021359 0.04800112 -0.668715 0.37662468 -0.78257989 0.06211135 -0.21647032 0.47510198 -0.17392121 -0.09286267], Predicted=0 X=[ 0.17209696 0.31511748 1.53551285 -0.9250474 -0.76776332 -1.78226228 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=0 X=[-0.06493106 0.21589563 0.13064066 -0.70815075 -0.35578364 -1.48823805 0.60336772 -0.94542065 -0.6508363 0.35186795 1.20742712], Predicted=0 X=[ 1.59426511 0.11667379 1.28759423 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1.50577961 5.50221078 2.67346509 -0.63043676 0.39351704 0.60336772 1.13442845 0.67379698 0.08897337 1.20742712], Predicted=1 X=[-0.89452915 1.20811407 -1.27423152 0.5143576 0.23929812 -0.40034839 2.83899187 0.79335995 0.01148034 0.08897337 -1.39315246], Predicted=0 X=[-0.18344508 -0.77632281 0.29591974 -0.93490633 -0.9508654 0.39351704 -0.83213831 -1.27311391 -0.51837298 -0.34918426 0.71981845], Predicted=0 X=[-0.65750113 0.01745194 -0.94367336 0.61294698 -0.2642326 -0.31214112 -0.64387523 -0.21647032 -0.91576296 -1.57602562 0.23220977], Predicted=0 X=[-0.4204731 0.11667379 -0.11727796 -0.668715 -0.44733468 0.15829765 -1.06746717 -1.14604918 -0.18721466 0.87765711 1.20742712], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[ 0.17209696 -1.17321019 -0.11727796 0.37633246 -0.035355 0.15829765 -0.29088194 0.59273142 0.14394366 -1.31313104 -1.06808001], Predicted=0 X=[ 1.4757511 -0.77632281 0.2132802 0.65238274 -0.08113052 1.62841881 0.55630195 0.99398848 -0.58460464 -0.26155273 -0.41793512], Predicted=0 X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[-0.18344508 2.59721989 -0.53047566 0.13971794 0.14774708 -1.60584774 0.93282812 0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=0 X=[ 0.05358295 0.31511748 -0.03463842 1.24391904 -0.35578364 -0.13572658 -0.5262108 0.45897907 -0.98199462 1.40344626 -0.09286267], Predicted=0 X=[-1.48709922 -0.87554465 -0.53047566 -1.08279041 -0.2642326 0.9815655 -0.83213831 -1.25973868 2.06466192 -0.87497341 0.55728222], Predicted=0 X=[-0.06493106 -1.27243203 -0.11727796 0.47492185 0.55972676 -0.6649702 -0.66740811 1.06086466 1.40234528 -0.78734189 -1.39315246], Predicted=0 X=[-0.89452915 0.61278301 -0.36519658 -0.82645801 -0.44733468 -0.60616535 -0.90273697 -1.55399385 -0.8495313 -0.43681578 1.04489089], Predicted=0 X=[-0.89452915 -0.9747665 0.2132802 -0.86589377 -0.35578364 -0.90018958 2.61542945 -0.57760167 1.20365029 2.63028763 0.63855033], Predicted=0 X=[ 0.17209696 0.31511748 -0.1999175 0.53407548 -0.44733468 0.56993158 0.03857846 -0.624415 -1.37938461 -1.57602562 1.20742712], Predicted=0 X=[ 1.59426511 -0.9747665 1.28759423 -1.04335466 -0.58466124 -0.42975081 -1.3498618 -0.57760167 -1.24692128 1.66634084 -0.09286267], Predicted=0 X=[ 0.17209696 -0.0817699 0.2132802 2.82134917 -0.035355 0.56993158 0.74456503 2.33151201 -1.24692128 -0.34918426 -1.39315246], Predicted=0 X=[-0.77601514 0.21589563 -0.11727796 -1.02363678 0.28507364 -0.19453143 1.09755832 -0.45722456 0.60756531 -0.43681578 -0.33666701], Predicted=0 X=[-0.18344508 -0.47865728 -0.6131152 -0.98420103 0.6512778 -0.13572658 0.36803886 -0.2097827 0.34263866 0.61476253 -0.82427568], Predicted=0 X=[-1.01304317 1.00967039 -0.6131152 -0.57012562 -0.4931102 0.15829765 -0.64387523 -1.77468524 -0.05475133 -0.17392121 2.5077169 ], Predicted=1 X=[-0.30195909 2.79566358 -1.52215014 0.71153637 -0.40155916 0.15829765 0.43863752 0.80004757 0.60756531 0.26423642 -0.90554379], Predicted=0 X=[ 0.40912499 -0.87554465 0.46119882 -1.02363678 -0.44733468 -0.19453143 -1.25573025 -0.74479212 -0.18721466 0.08897337 -0.01159456], Predicted=0 X=[ 0.17209696 0.51356116 3.68414089 0.69181849 -0.17268156 -0.84138474 2.65072878 0.10787914 -1.18068962 0.527131 0.394746 ], Predicted=0 X=[ 2.30534919 0.51356116 0.87439652 -0.00816613 -0.99664092 -1.54704289 -1.20866448 -0.7782302 -1.51184794 -0.78734189 1.69503579], Predicted=0 X=[-0.4204731 0.11667379 -0.69575474 -0.76730438 4.40487043 -1.60584774 -0.64387523 -0.44384932 -1.24692128 -0.43681578 -0.49920323], Predicted=0 X=[ 0.527639 0.21589563 0.04800112 -0.72786863 -0.08113052 -0.07692173 -0.71447388 -0.99557778 1.13741862 0.35186795 1.85757201], Predicted=1 X=[ 0.527639 -1.37165388 1.28759423 -1.04335466 -0.35578364 -0.42975081 -0.92626985 -0.41041123 0.077712 2.01686694 0.06967355], Predicted=0 X=[ 1.00169505 0.71200485 1.28759423 0.44534503 -0.58466124 0.39351704 1.12109121 -0.31009697 -0.31967798 -0.96260494 1.53249956], Predicted=0 X=[-0.30195909 -0.18099175 -0.1999175 -0.31379322 4.22176835 0.33471219 0.69749926 0.3586648 0.077712 -0.96260494 -0.9868119 ], Predicted=0 X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708 0.09949281 0.13271 -1.533931 0.21017533 -0.87497341 1.85757201], Predicted=1 X=[ 1.23872307 0.11667379 -0.1999175 0.18901263 -0.53888572 0.09949281 0.36803886 -0.07603035 -0.8495313 -1.57602562 0.23220977], Predicted=0 X=[-1.25007119 -0.0817699 -0.6131152 -0.57012562 1.15480852 -0.5473605 -1.63225643 -1.36674056 -0.58460464 -0.96260494 0.80108656], Predicted=0 X=[-1.25007119 0.41433932 -1.10895244 -0.74758651 -0.85931436 -1.07660412 -0.3614806 -1.56068147 1.13741862 2.5426561 2.75152124], Predicted=1 X=[ 3.01643326e+00 1.74519434e-02 -2.82557040e-01 -9.44765273e-01 -3.53550004e-02 4.06879593e-02 1.50455761e-02 4.38916213e-01 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878 -0.01811689 -0.78507254 -0.94542065 0.74002864 -0.43681578 0.47601411], Predicted=0 X=[-0.4204731 0.61278301 -0.44783612 -0.90532952 -0.21845708 0.45232188 1.16815698 -0.41041123 -0.38590965 -1.05023647 -0.74300757], Predicted=0 X=[ 0.527639 -0.18099175 -0.77839428 -0.9250474 0.1935226 -1.48823805 -0.62034234 -0.39034838 -0.51837298 -0.52444731 -0.49920323], Predicted=0 X=[-0.06493106 -0.57787912 -0.28255704 0.82984363 1.109033 1.8636382 1.30935429 0.84017327 -1.97546959 -0.61207884 -1.23061624], Predicted=0 X=[ 0.29061097 1.90266698 -0.77839428 -0.0771787 -0.08113052 -1.4294332 -1.44399334 0.52585524 0.14394366 0.61476253 -0.66173945], Predicted=0 X=[ 1.12020906 0.61278301 -0.53047566 -1.02363678 -0.2642326 -0.60616535 -0.76153965 -0.27665888 -1.18068962 0.527131 -0.09286267], Predicted=0 X=[ 0.64615301 -0.87554465 -0.28255704 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0.394746 ], Predicted=0 X=[ 0.64615301 -0.9747665 0.2132802 1.32279054 0.46817572 2.15766243 0.57983483 1.99713113 1.53480861 -1.22549952 -1.14934812], Predicted=0 X=[-0.30195909 2.69644174 -2.67910371 -0.72786863 -0.53888572 1.21678489 -0.38501348 -1.14604918 -0.25344632 -1.66365715 1.126159 ], Predicted=0 X=[-0.4204731 -1.07398834 -0.1999175 -0.96448315 -0.21845708 -0.07692173 -0.40854637 -1.03904729 -0.8495313 -0.26155273 -0.01159456], Predicted=0 X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=0 X=[ 0.05358295 4.68087862 -1.68742922 -0.01802507 -0.44733468 -0.95899443 -2.07938126 -0.30340935 -0.6508363 -2.10181478 0.47601411], Predicted=0 X=[-1.01304317 0.61278301 -0.11727796 -0.51097199 -0.08113052 -1.31182351 -0.5262108 -0.98554635 1.33611362 -0.43681578 1.04489089], Predicted=0 X=[ 0.76466702 -0.9747665 -0.1999175 1.04674027 0.23929812 -0.6649702 -1.04393428 0.99398848 0.01148034 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0.21017533 0.43949948 0.23220977], Predicted=0 X=[ 1.12020906 -0.47865728 -0.44783612 -0.32365216 -0.17268156 0.56993158 0.65043349 -0.41041123 -1.51184794 -0.78734189 0.80108656], Predicted=0 X=[-1.13155718 -0.47865728 -0.77839428 -0.94476527 -0.40155916 -0.19453143 -0.54974368 -1.09254824 0.14394366 0.1766049 0.71981845], Predicted=0 X=[ 0.88318104 1.10889223 -0.94367336 -0.70815075 -0.44733468 -0.95899443 -0.59680945 -0.47728741 -1.04822629 -1.75128867 -0.2553989 ], Predicted=0 X=[-0.65750113 -0.77632281 -0.28255704 -0.09689658 -0.53888572 -0.01811689 0.32097309 0.80004757 1.86596693 -0.78734189 -1.6369568 ], Predicted=0 X=[-1.48709922 0.41433932 -0.11727796 0.37633246 -0.12690604 -0.19453143 -0.78507254 -0.45722456 0.34263866 -0.17392121 0.55728222], Predicted=0 X=[ 0.88318104 0.91044854 0.04800112 -0.62927925 -0.81353884 0.39351704 0.55630195 -1.24636344 -1.18068962 -1.40076257 1.53249956], Predicted=0 X=[-0.18344508 0.8112267 -0.6131152 0.29746096 -0.53888572 0.2171025 -0.3614806 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3.35358273 -0.38280579 -0.08113052 -0.13572658 -0.1967504 -0.54416359 0.40887032 -0.61207884 1.36996334], Predicted=0 X=[ 0.17209696 0.21589563 -0.44783612 -0.82645801 -0.17268156 -0.84138474 0.90929523 -0.79160544 0.077712 0.70239405 0.71981845], Predicted=0 X=[ 0.88318104 -0.67710097 2.19662917 -0.84617589 0.01042052 0.68754127 0.62690061 -0.14290653 -0.91576296 0.43949948 -0.33666701], Predicted=0 X=[ 0.29061097 0.11667379 0.04800112 0.27774308 -0.44733468 0.80515096 -0.24381617 -0.0191856 0.14394366 -0.78734189 0.15094166], Predicted=0 X=[ 0.40912499 0.51356116 -0.94367336 -0.37294685 -0.67621228 -1.48823805 -1.53812488 -1.09254824 -1.44561627 0.26423642 1.36996334], Predicted=0 X=[-0.06493106 -0.57787912 0.13064066 2.19037712 -0.31000812 0.15829765 0.34450598 1.7965026 0.34263866 -0.61207884 -1.23061624], Predicted=0 X=[-0.06493106 0.01745194 2.19662917 -1.04335466 3.94711523 0.39351704 -0.26734905 -0.2097827 -0.6508363 -0.43681578 -1.14934812], Predicted=0 X=[ 1.00169505e+00 6.12783009e-01 2.03135009e+00 9.28433010e-01 -3.10008120e-01 3.34712191e-01 2.97440205e-01 1.26149319e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=0 X=[ 0.88318104 -1.17321019 0.6264779 -0.88561164 0.05619604 -0.48855566 0.29744021 -0.10946844 0.077712 0.35186795 -0.33666701], Predicted=0 X=[-0.30195909 1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=0 X=[-0.30195909 -0.67710097 0.2132802 -1.10250829 -0.53888572 0.74634612 -0.59680945 -0.79494925 0.34263866 1.66634084 -0.01159456], Predicted=0 X=[ 0.29061097 -0.77632281 0.2132802 1.02702239 -0.17268156 0.56993158 -0.33794771 0.99398848 -1.77677459 0.87765711 -0.82427568], Predicted=0 X=[ 0.17209696 0.21589563 -0.11727796 0.00169281 -0.53888572 -0.42975081 -0.97333563 -0.54416359 0.27640699 -0.43681578 1.04489089], Predicted=0 X=[-0.53898711 0.01745194 0.79175698 0.13971794 -0.035355 1.45200427 1.94474221 0.39210289 -0.6508363 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0.60756531 -0.43681578 -0.82427568], Predicted=0 X=[-0.30195909 0.31511748 0.37855928 1.9044679 0.55972676 -1.13540897 0.62690061 1.89681687 1.26988195 0.96528863 -1.06808001], Predicted=0 X=[ 0.05358295 0.51356116 -0.6131152 -0.27435747 -0.85931436 0.62873642 0.10917712 -0.54416359 0.40887032 -0.52444731 0.55728222], Predicted=0 X=[-0.77601514 0.51356116 0.6264779 2.05235198 -0.40155916 1.33439458 0.81516369 1.60256169 0.40887032 0.70239405 -0.90554379], Predicted=0 X=[-0.89452915 -1.52048664 -0.69575474 -0.60956137 -0.2642326 -1.48823805 -1.63225643 -0.2097827 2.32958858 0.87765711 -0.33666701], Predicted=0 X=[ 0.88318104 -0.18099175 0.2132802 -0.94476527 -0.63043676 -1.72345743 -0.76153965 -0.34353506 -0.25344632 -0.78734189 -0.09286267], Predicted=0 X=[ 1.94980715 -0.47865728 0.54383836 0.69181849 -0.44733468 -0.6649702 -1.1851316 0.3586648 -1.11445795 -0.61207884 -0.01159456], Predicted=0 X=[ 0.88318104 -0.57787912 -0.44783612 1.1058939 0.46817572 1.92244304 0.10917712 1.42868363 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0.57351123 -0.12690604 -0.42975081 0.15624289 0.10119152 0.27640699 0.35186795 0.37849238], Predicted=0 X=[ 0.29061097 -1.37165388 0.13064066 -0.98420103 -0.31000812 -0.6649702 -0.24381617 -0.63779023 -1.44561627 1.66634084 -0.09286267], Predicted=0 X=[ 0.40912499 -0.67710097 -0.44783612 -0.72786863 -0.58466124 0.15829765 -1.04393428 -1.09589204 -1.31315295 -0.52444731 1.04489089], Predicted=0 X=[-0.53898711 0.31511748 0.46119882 0.21858945 -0.2642326 1.27558973 1.75647912 0.24163149 0.87249197 -0.52444731 -0.41793512], Predicted=0 X=[ 0.29061097 -0.9747665 0.46119882 1.74672489 0.05619604 0.56993158 0.46217041 1.81656545 1.0049553 2.45502457 -1.14934812], Predicted=0 X=[ 0.40912499 -1.07398834 -0.44783612 2.20023605 0.1935226 -0.13572658 0.36803886 1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=0 X=[-1.13155718 -0.47865728 -0.28255704 1.28335479 0.37662468 1.27558973 0.74456503 1.06086466 0.60756531 -0.87497341 -0.90554379], Predicted=0 X=[-0.77601514 0.8112267 -0.94367336 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Predicted=0 X=[ 0.29061097 -1.32204295 -0.03463842 -0.35322897 0.1935226 -0.13572658 -0.17321751 0.05772201 0.60756531 -0.78734189 -0.74300757], Predicted=0 X=[-0.06493106 -1.27243203 -0.28255704 -0.21520384 0.1935226 0.27590734 -0.26734905 0.05772201 1.40234528 -0.87497341 -0.66173945], Predicted=0 X=[-0.4204731 2.3987762 -1.35687106 -0.98420103 0.05619604 -1.78226228 -2.64417051 -0.27665888 0.47510198 -1.48839409 -0.41793512], Predicted=0 X=[ 1.35723709 -0.28021359 -1.68742922 2.13122349 -0.44733468 0.80515096 1.89767644 1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=0 X=[ 0.17209696 0.31511748 -0.1999175 0.53407548 -0.44733468 0.56993158 0.03857846 -0.624415 -1.37938461 -1.57602562 1.20742712], Predicted=0 X=[ 1.12020906 -0.87554465 -0.11727796 0.19887157 -1.4086206 0.68754127 -0.33794771 -0.41709885 -1.31315295 -0.87497341 0.394746 ], Predicted=0 X=[-0.18344508 0.11667379 0.95703606 1.55940506 0.37662468 -0.31214112 1.00342678 1.55909217 -0.31967798 0.70239405 -1.14934812], Predicted=0 X=[ 0.29061097 0.41433932 0.54383836 -0.96448315 -0.53888572 -1.31182351 -1.27926314 0.12459818 1.53480861 0.96528863 -0.09286267], Predicted=0 X=[-0.4204731 1.50577961 -0.44783612 0.95800982 -0.63043676 -0.25333627 -1.20866448 -0.61103976 -1.11445795 -0.96260494 1.53249956], Predicted=0 X=[-0.89452915 1.20811407 -0.1999175 -1.08279041 0.10197156 -0.72377504 0.74456503 -0.34353506 0.21017533 2.45502457 -0.82427568], Predicted=0 X=[-0.53898711 0.21589563 1.45287331 -0.17576808 0.10197156 1.56961397 0.79163081 0.05772201 -0.71706797 -0.34918426 -1.14934812], Predicted=0 X=[ 0.64615301 -0.18099175 0.79175698 -0.0771787 -1.08819196 -0.78257989 -0.31441482 -0.41041123 -0.38590965 0.527131 0.80108656], Predicted=0 X=[-0.77601514 -1.27243203 -0.53047566 -0.98420103 -0.21845708 0.92276066 -0.50267791 -1.04573491 0.60756531 -0.96260494 0.55728222], Predicted=0 X=[-0.65750113 -0.47865728 -0.1999175 -0.96448315 -1.08819196 -1.4294332 -1.32632891 -1.61418241 0.74002864 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0.23929812 0.09949281 1.14462409 -0.44384932 0.54133365 0.96528863 -0.17413078], Predicted=0 X=[-0.4204731 0.01745194 0.04800112 -0.55040774 -0.2642326 -0.37094597 -0.40854637 -0.97551493 0.60756531 -0.08628968 1.28869523], Predicted=0 X=[-0.65750113 -0.87554465 -0.44783612 -0.90532952 -1.08819196 -0.42975081 0.46217041 -1.11261109 0.077712 1.31581474 0.71981845], Predicted=0 X=[-0.53898711 2.20033252 -1.10895244 -0.78702226 0.60550228 -0.95899443 -0.62034234 -0.29672173 -0.05475133 -0.78734189 -1.06808001], Predicted=0 X=[ 0.40912499 -0.87554465 -0.1999175 -0.98420103 0.01042052 0.09949281 -0.07908597 -0.04259226 1.0049553 0.70239405 -0.2553989 ], Predicted=0 X=[ 0.05358295 -0.57787912 0.29591974 1.6974302 0.33084916 1.39319943 0.93282812 1.72962642 1.20365029 2.8931822 -0.82427568], Predicted=0 X=[ 0.17209696 0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=0 X=[ 0.17209696 0.31511748 -0.6131152 0.19887157 1.06325748 -0.42975081 0.50923618 0.45897907 -0.38590965 -0.26155273 -0.58047134], Predicted=0 X=[-0.30195909 -0.37943543 -0.28255704 0.96786876 -0.90508988 -1.4294332 -1.44399334 -0.07268654 -0.38590965 0.527131 1.85757201], Predicted=1 X=[-1.3685852 -0.67710097 -0.11727796 -1.08279041 -0.35578364 0.15829765 -0.40854637 -1.09923585 0.34263866 -0.26155273 0.06967355], Predicted=0 X=[-0.77601514 0.71200485 -0.36519658 0.1791537 -0.08113052 1.21678489 2.48599858 0.52585524 1.13741862 0.527131 -0.41793512], Predicted=0 X=[ 0.05358295 1.00967039 -0.44783612 0.37633246 0.74282884 -0.78257989 0.65043349 0.34528957 -0.18721466 2.01686694 0.06967355], Predicted=0 X=[ 1.00169505 0.01745194 -0.36519658 -0.4123826 0.23929812 -0.60616535 0.08564423 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=0 X=[-0.06493106 0.41433932 -1.0263129 -0.82645801 -0.08113052 -1.19421382 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=0 X=[-1.25007119 0.8112267 -0.6131152 -0.60956137 -0.35578364 0.27590734 0.34450598 -0.97885873 1.0049553 0.527131 0.63855033], Predicted=0 X=[ 0.88318104 1.20811407 -0.53047566 -1.02363678 0.33084916 -0.72377504 1.28582141 -0.79829306 0.21017533 -0.96260494 0.88235467], Predicted=0 X=[ 0.29061097 3.58943834 1.28759423 -0.90532952 0.1935226 -1.07660412 -0.24381617 0.19147436 0.8062603 0.79002558 0.06967355], Predicted=0 X=[ 0.76466702 -1.07398834 3.10566411 1.06645815 -0.35578364 0.9815655 0.22684155 1.33171317 -1.04822629 -0.26155273 -1.31188435], Predicted=0 X=[-0.06493106 -0.77632281 2.11398963 -1.08279041 4.63374803 0.15829765 -0.14968462 -0.34353506 -0.91576296 -0.96260494 -1.14934812], Predicted=0 X=[ 1.83129314 0.31511748 -0.1999175 -1.07293147 -1.13396748 0.9815655 0.22684155 -1.21961297 -1.71054293 -1.48839409 0.80108656], Predicted=0 X=[-0.30195909 -0.18099175 0.2132802 -1.02363678 -0.4931102 0.45232188 -0.29088194 -1.03235968 -1.18068962 1.22818321 0.71981845], Predicted=0 X=[ 0.527639 0.61278301 -0.28255704 0.59322911 0.51395124 -0.07692173 0.93282812 0.50579239 -0.25344632 -0.43681578 -0.09286267], Predicted=0 X=[ 1.35723709 -0.28021359 1.28759423 -1.02363678 0.69705332 -0.48855566 -0.50267791 -0.07603035 -0.71706797 -1.31313104 -0.90554379], Predicted=0 X=[-0.30195909 1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382 -1.25573025 -1.34667771 0.60756531 0.1766049 2.34518068], Predicted=1 X=[ 0.05358295 -0.67710097 -0.03463842 -0.98420103 0.46817572 -0.01811689 -0.05555308 -0.07603035 2.92567355 2.5426561 -0.17413078], Predicted=0 X=[ 0.527639 0.21589563 3.35358273 1.40166205 -0.31000812 0.62873642 0.62690061 1.39524554 -1.11445795 -0.78734189 -1.47442057], Predicted=0 X=[-0.53898711 -1.52048664 0.2132802 -0.98420103 -0.08113052 -0.78257989 -1.65578931 -1.29986438 -0.25344632 0.08897337 0.96362278], Predicted=0 X=[ 0.40912499 -0.47865728 -1.19159198 1.4410978 0.28507364 0.68754127 1.37995295 1.54571694 -0.45214131 0.35186795 -1.23061624], Predicted=0 X=[-1.01304317 -0.0817699 -0.11727796 -0.55040774 -0.4931102 0.04068796 -0.12615174 -0.62775881 0.27640699 -0.26155273 0.23220977], Predicted=0 X=[-0.77601514 -0.77632281 -0.1999175 -1.06307253 -0.67621228 -0.78257989 -1.53812488 -1.2296444 0.34263866 0.26423642 0.63855033], Predicted=0 X=[ 0.29061097 -1.57009756 -0.11727796 0.63266486 0.37662468 1.68722366 0.55630195 0.72648377 1.40234528 -0.69971036 -0.90554379], Predicted=0 X=[ 1.12020906 -0.28021359 -0.44783612 0.15943582 -0.2642326 0.62873642 0.95636101 0.46232287 -0.31967798 0.96528863 -0.33666701], Predicted=0 X=[-1.3685852 -1.37165388 -0.28255704 -0.19548596 -0.035355 -0.5473605 -0.78507254 0.22156864 0.87249197 -0.34918426 -0.9868119 ], Predicted=0 X=[-0.30195909 -0.28021359 -0.69575474 -1.0039189 -0.2642326 -0.42975081 -1.25573025 -1.40017865 -2.10793291 -0.08628968 0.55728222], Predicted=0 X=[ 1.12020906 -0.0817699 2.03135009 0.94815089 -0.44733468 0.51112673 0.53276906 1.2280551 -0.8495313 -0.69971036 -1.31188435], Predicted=0 X=[ 0.527639 1.30733592 -0.77839428 0.08056431 0.51395124 0.33471219 0.57983483 0.29178862 0.077712 -0.69971036 -0.49920323], Predicted=0 X=[ 0.527639 0.01745194 0.79175698 -0.9250474 1.5667882 -0.84138474 -0.3614806 -1.17948726 0.01148034 -0.61207884 1.85757201], Predicted=0 X=[ 0.05358295 0.8112267 -0.44783612 1.41152099 0.10197156 0.92276066 1.19168986 1.2681808 -1.24692128 0.96528863 -0.82427568], Predicted=0 X=[ 0.88318104 2.00188883 0.29591974 -1.02363678 -0.53888572 -1.78226228 -1.91465106 -0.49066264 -0.91576296 0.43949948 -0.09286267], Predicted=0 X=[ 1.23872307 1.80344514 0.54383836 0.73125424 5.59503395 -0.95899443 1.07402544 1.2681808 -0.8495313 1.14055168 -0.82427568], Predicted=0 X=[ 2.18683518 -0.47865728 -0.11727796 1.38194417 -0.08113052 -0.01811689 0.72103215 1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=0 X=[-0.30195909 -0.0817699 -0.03463842 -0.98420103 -0.17268156 -0.6649702 1.05049255 -0.62775881 0.67379698 -0.26155273 0.15094166], Predicted=0 X=[-0.65750113 -1.07398834 -0.86103382 -0.13633233 0.10197156 0.51112673 0.20330866 -0.06934273 -0.71706797 0.43949948 -0.41793512], Predicted=0 X=[ 0.76466702 0.26550655 0.54383836 2.46642739 0.60550228 0.51112673 0.74456503 1.99713113 -1.31315295 -0.26155273 -1.23061624], Predicted=0 X=[-0.77601514 -0.18099175 0.29591974 0.13971794 0.05619604 1.09917519 1.47408449 0.40213432 0.01148034 -0.08628968 -0.82427568], Predicted=0 X=[ 0.17209696 -1.07398834 -0.1999175 -0.31379322 -0.53888572 -0.07692173 -0.14968462 0.12459818 1.13741862 -0.08628968 -0.74300757], Predicted=0 X=[ 0.76466702 -0.18099175 1.53551285 1.34250842 0.05619604 1.68722366 0.95636101 1.39524554 -0.58460464 -0.26155273 -1.23061624], Predicted=0 X=[-0.30195909 -0.37943543 -0.77839428 0.43548609 -0.53888572 -0.60616535 -0.07908597 0.59941904 0.93872363 0.87765711 -0.17413078], Predicted=0 X=[ 0.05358295 -0.28021359 -0.36519658 -0.78702226 -0.35578364 -0.42975081 -1.46752623 -1.05242253 -1.18068962 -1.13786799 0.96362278], Predicted=0 X=[ 1.71277913 2.10111067 -0.86103382 0.0509875 -0.53888572 -1.72345743 0.46217041 -0.19640747 -0.91576296 -0.08628968 0.55728222], Predicted=0 X=[ 1.83129314 -0.87554465 0.79175698 -0.84617589 0.28507364 -0.90018958 -0.80860543 -0.00915417 -2.24039624 -0.26155273 -0.82427568], Predicted=0 X=[-0.30195909 -0.9747665 0.13064066 -0.96448315 0.14774708 0.80515096 0.06211135 -0.2097827 1.60104027 3.15607678 -0.2553989 ], Predicted=0 X=[ 2.77940524 0.61278301 -0.53047566 -1.02363678 -0.90508988 -1.07660412 -1.53812488 -0.64447785 -0.71706797 -0.87497341 0.23220977], Predicted=0 X=[ 0.17209696 0.21589563 0.37855928 1.67771232 -0.63043676 1.45200427 1.00342678 1.42868363 -0.05475133 1.05292016 -0.9868119 ], Predicted=0 X=[-1.01304317 -0.67710097 0.37855928 -1.10250829 -1.179743 -0.78257989 -0.94980274 -1.54396243 0.47510198 -1.48839409 1.04489089], Predicted=0 X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=0 X=[ 1.00169505 -1.17321019 0.6264779 -0.9250474 0.10197156 1.45200427 0.81516369 -0.27665888 0.34263866 1.49107779 0.55728222], Predicted=0 X=[ 1.23872307 -0.28021359 0.04800112 0.98758664 -0.2642326 1.04037035 1.49761738 1.02073895 -0.51837298 0.70239405 -0.74300757], Predicted=0 X=[-0.18344508 1.40655776 0.46119882 1.12561178 -0.2642326 1.51080912 2.58013012 1.30830651 0.8062603 0.79002558 -0.66173945], Predicted=0 X=[-2.90926737 2.59721989 -2.01798739 -0.25463959 -0.35578364 0.9815655 -0.97333563 -1.27311391 1.46857694 -0.78734189 1.36996334], Predicted=0 X=[-1.13155718 -0.18099175 -0.77839428 -0.78702226 0.01042052 -0.48855566 -0.14968462 -0.56422644 2.92567355 2.10449847 0.63855033], Predicted=0 X=[ 0.29061097 -0.67710097 0.13064066 -0.76730438 -0.2642326 0.33471219 1.12109121 -0.91867018 0.87249197 0.61476253 1.61376767], Predicted=1 X=[ 2.77940524 -0.47865728 0.13064066 0.8495615 -0.40155916 -0.07692173 0.15624289 1.36180745 -0.6508363 -1.48839409 -0.66173945], Predicted=0 X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=1 X=[-0.30195909 -0.87554465 -0.03463842 -0.90532952 -0.4931102 0.39351704 0.22684155 -0.69129117 -0.25344632 -1.13786799 -0.2553989 ], Predicted=0 X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=0 X=[ 0.527639 -0.37943543 0.46119882 2.27910756 0.51395124 0.56993158 0.25037443 1.96369304 0.14394366 -1.13786799 -1.55568868], Predicted=0 X=[-0.06493106 0.31511748 -0.11727796 0.23830733 0.28507364 -0.01811689 0.10917712 0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=0 X=[-0.4204731 -1.17321019 -0.03463842 -0.31379322 -0.12690604 0.56993158 -0.57327657 -0.67791594 -0.05475133 -0.43681578 0.55728222], Predicted=0 X=[-1.25007119 0.21589563 0.37855928 -0.29407534 -0.31000812 -0.78257989 -1.23219737 -1.47039863 0.27640699 0.79002558 2.10137634], Predicted=1 X=[-0.18344508 0.61278301 -0.28255704 0.41576822 0.60550228 -0.6649702 0.32097309 0.70976473 1.79973526 1.31581474 0.394746 ], Predicted=0 X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.79718631], Predicted=0 X=[ 0.527639 -0.28021359 0.70911744 1.53968719 -0.21845708 1.27558973 1.02695966 1.86337878 0.67379698 2.27976152 -1.14934812], Predicted=0 X=[ 0.05358295 -0.87554465 -0.1999175 2.53543996 -0.12690604 0.15829765 0.67396638 1.84331592 -1.71054293 0.26423642 -1.14934812], Predicted=0 X=[-1.13155718 2.00188883 -0.28255704 -0.96448315 -0.40155916 -0.95899443 -1.42046046 -1.1560806 1.86596693 -0.61207884 1.126159 ], Predicted=0 X=[ 1.4757511 -0.18099175 0.29591974 -0.88561164 1.20058404 0.74634612 0.48570329 0.29178862 1.20365029 1.84160389 0.31347789], Predicted=0 X=[-2.43521132 -0.18099175 -0.86103382 0.82984363 -0.53888572 -0.72377504 -0.64387523 -0.43047409 1.79973526 -1.8389202 0.80108656], Predicted=0 X=[ 2.77940524 0.01745194 1.28759423 1.06645815 -0.17268156 -0.37094597 -0.0320202 1.32836936 -0.58460464 -1.31313104 -0.33666701], Predicted=0 X=[-0.06493106 -0.18099175 0.79175698 1.05659921 -0.035355 1.04037035 1.40348584 0.96055039 0.47510198 0.527131 -0.82427568], Predicted=0 X=[-0.06493106 0.91044854 -0.44783612 -0.88561164 -0.99664092 1.68722366 -0.76153965 -1.37008437 1.7335036 0.96528863 1.69503579], Predicted=1 X=[ 0.29061097 1.50577961 -0.69575474 -0.70815075 -0.44733468 0.45232188 -0.14968462 -1.43027293 0.14394366 -0.17392121 2.34518068], Predicted=1 X=[ 0.05358295 0.21589563 -1.0263129 1.83545534 0.46817572 0.80515096 0.48570329 1.4186522 -0.51837298 -0.08628968 -1.23061624], Predicted=0 X=[-0.06493106 0.31511748 0.70911744 0.10028219 0.01042052 0.86395581 0.81516369 0.59273142 0.01148034 -0.26155273 -1.23061624], Predicted=0 X=[-0.06493106 0.01745194 0.2132802 0.31717883 -0.035355 -0.42975081 -0.3614806 -0.41041123 -1.11445795 -1.05023647 0.71981845], Predicted=0 X=[-0.53898711 0.61278301 -0.86103382 -0.01802507 -0.31000812 0.09949281 0.10917712 0.12459818 0.01148034 1.40344626 -0.41793512], Predicted=0 X=[ 0.05358295 -0.47865728 -0.11727796 1.97348047 -0.035355 1.56961397 0.34450598 1.06086466 0.21017533 -0.61207884 -0.01159456], Predicted=0 X=[-1.84264125 0.51356116 -0.28255704 -1.02363678 0.10197156 -0.60616535 -0.45561214 -1.19620631 0.87249197 1.14055168 0.63855033], Predicted=0 X=[-1.3685852 -0.23060267 2.60982687 -1.02363678 1.52101268 -1.07660412 -0.0320202 -0.32012839 0.077712 -0.61207884 -0.90554379], Predicted=0 X=[ 0.05358295 -0.18099175 -0.03463842 1.22420116 0.23929812 1.39319943 0.81516369 1.32836936 1.33611362 -0.96260494 -0.49920323], Predicted=0 X=[-1.13155718 0.41433932 -0.6131152 -0.96448315 0.51395124 -1.07660412 0.06211135 -0.7782302 0.34263866 -1.13786799 0.15094166], Predicted=0 X=[-0.65750113 -1.07398834 -0.11727796 -1.06307253 -0.2642326 0.2171025 -0.47914502 -1.72787191 0.8062603 -0.78734189 2.10137634], Predicted=1 X=[-1.01304317 0.01745194 -0.53047566 1.79601958 -0.44733468 -0.25333627 -0.10261885 0.0175963 0.01148034 -0.43681578 2.02010823], Predicted=1 X=[ 1.59426511 -0.37943543 -0.28255704 -0.80674014 0.1935226 -0.72377504 -0.76153965 -0.0191856 -1.37938461 0.08897337 -0.41793512], Predicted=0 X=[ 1.94980715 -0.67710097 -0.6131152 0.56365229 -0.53888572 2.21646728 0.08564423 0.15803627 -0.91576296 -1.05023647 0.71981845], Predicted=1 X=[ 1.94980715 -0.47865728 -0.44783612 0.92843301 -0.58466124 -0.31214112 -0.97333563 0.34863337 -1.04822629 -0.87497341 -0.01159456], Predicted=0 X=[ 0.05358295 -0.77632281 -0.28255704 -0.3335111 -0.21845708 0.27590734 0.22684155 -0.27665888 -0.18721466 -1.22549952 -0.2553989 ], Predicted=0 X=[ 2.18683518 0.31511748 -1.0263129 -0.15605021 -0.31000812 -0.42975081 -1.6793222 -0.24990841 -1.51184794 0.26423642 0.394746 ], Predicted=0 X=[ 1.23872307 -0.23060267 -0.6131152 -0.86589377 -0.90508988 0.27590734 1.21522275 -0.27665888 -0.98199462 -0.87497341 0.55728222], Predicted=0 X=[-0.18344508 -1.47087572 1.94871055 0.04112856 0.46817572 1.45200427 0.27390732 0.48572954 -1.51184794 -0.52444731 -0.90554379], Predicted=0 X=[-1.01304317 -0.18099175 1.37023377 -0.82645801 0.10197156 1.39319943 0.34450598 -0.41041123 -0.71706797 1.05292016 -0.58047134], Predicted=0 X=[-0.53898711 0.11667379 1.94871055 -1.06307253 0.6512778 -1.19421382 -0.43207925 -0.54416359 -0.8495313 -0.69971036 -0.82427568], Predicted=0 X=[ 0.76466702 -0.47865728 -0.28255704 -1.02363678 -0.7219878 -0.48855566 -1.37339468 -0.70466641 -0.91576296 1.66634084 -0.01159456], Predicted=0 X=[-0.18344508 1.30733592 -0.77839428 -0.19548596 -0.4931102 -0.13572658 -0.54974368 -1.31323962 -0.45214131 -0.43681578 1.93342224], Predicted=1 X=[ 0.40912499 1.10889223 2.36190825 0.90871513 0.05619604 1.80483335 0.93282812 1.19461701 -0.18721466 0.08897337 -1.47442057], Predicted=0 X=[ 0.29061097 1.50577961 -0.28255704 0.04112856 -0.9508654 -1.19421382 -0.00848731 -0.92535779 -0.05475133 -0.26155273 1.69503579], Predicted=0 X=[ 0.76466702 0.11667379 2.77510595 0.33689671 -0.40155916 1.04037035 0.65043349 0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=0 X=[-0.18344508 0.21589563 1.28759423 -0.31379322 -0.53888572 0.04068796 0.46217041 0.15803627 -0.45214131 -0.34918426 -0.49920323], Predicted=0 X=[ 1.12020906 -0.9747665 -0.1999175 1.14532965 0.33084916 0.62873642 0.03857846 1.32836936 -0.8495313 0.35186795 -1.31188435], Predicted=0 X=[ 0.527639 0.21589563 -0.94367336 0.00169281 0.46817572 0.51112673 0.69749926 0.22491245 -0.38590965 -1.22549952 -0.33666701], Predicted=0 X=[-0.53898711 -1.07398834 -0.53047566 -0.96448315 -0.40155916 -0.90018958 -0.94980274 -0.81166829 1.79973526 -0.61207884 0.394746 ], Predicted=0 X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=0 X=[ 0.05358295 -0.47865728 0.04800112 -0.47153623 0.05619604 -0.6649702 -0.24381617 0.12459818 0.077712 0.26423642 -0.66173945], Predicted=0 X=[ 0.29061097 -0.28021359 1.28759423 -0.668715 -0.7219878 -0.31214112 -0.99686851 -1.24636344 -0.38590965 -0.87497341 1.45123145], Predicted=0 X=[ 1.71277913 0.51356116 0.70911744 -1.03349572 -0.58466124 -1.01779928 -0.99686851 -0.97885873 0.077712 -1.48839409 1.53249956], Predicted=0 X=[ 0.05358295 -0.9747665 0.37855928 0.02141068 -0.31000812 -0.90018958 -0.66740811 0.09116009 -0.58460464 -0.61207884 -0.01159456], Predicted=0 X=[ 0.05358295 0.11667379 -0.86103382 0.43548609 0.46817572 1.21678489 1.80354489 0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=0 X=[ 0.29061097 0.41433932 -0.36519658 -0.47153623 -0.35578364 -0.13572658 0.74456503 0.20150579 0.54133365 1.31581474 -0.2553989 ], Predicted=0 X=[ 1.00169505 -0.77632281 0.87439652 1.48053356 0.1935226 0.51112673 -0.1967504 1.51227885 -0.51837298 -0.08628968 -0.41793512], Predicted=0 X=[ 6.46153012e-01 3.58943834e+00 1.12231514e+00 1.52982825e+00 5.59503395e+00 3.93517038e-01 1.09755832e+00 1.46212172e+00 -1.90923792e+00 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[ 0.40912499 -0.77632281 -0.1999175 0.71153637 0.37662468 0.80515096 0.62690061 0.99398848 1.40234528 -0.61207884 -0.49920323], Predicted=0 X=[-0.4204731 -0.47865728 0.37855928 -1.0039189 -0.63043676 -0.37094597 -0.62034234 -0.35022267 0.67379698 0.43949948 -0.66173945], Predicted=0 X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=0 X=[ 1.94980715 -1.07398834 3.35358273 -0.55040774 0.1935226 -0.37094597 -0.24381617 -0.41041123 0.60756531 -0.78734189 1.53249956], Predicted=0 X=[ 0.05358295 -0.77632281 0.6264779 -1.04335466 0.6512778 0.04068796 -0.80860543 -0.28669031 -1.31315295 -0.87497341 -1.06808001], Predicted=0 X=[-0.89452915 0.01745194 -0.53047566 -0.3335111 -0.7219878 1.21678489 0.03857846 -1.20623774 -0.18721466 -0.61207884 1.61376767], Predicted=1 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355 -0.25333627 -0.87920408 -0.31009697 1.53480861 0.527131 0.71981845], Predicted=0 X=[ 1.4757511 0.51356116 0.2132802 0.19887157 -0.40155916 0.04068796 0.41510463 0.63285713 0.01148034 0.43949948 0.06967355], Predicted=0 X=[-1.3685852 1.80344514 1.0396756 -0.98420103 -0.2642326 -0.25333627 0.72103215 -0.27665888 -0.38590965 -0.17392121 -1.39315246], Predicted=0 X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=0 X=[ 2.30534919 -0.77632281 0.79175698 1.6974302 0.33084916 1.45200427 1.07402544 2.26463584 0.60756531 2.63028763 -1.39315246], Predicted=0 X=[ 0.88318104 -0.0817699 -0.28255704 0.55379335 -1.27129404 -0.72377504 -0.99686851 -0.07603035 -0.71706797 -1.75128867 0.394746 ], Predicted=0 X=[-0.89452915 1.30733592 -2.43118509 -1.0039189 -0.44733468 -0.72377504 -0.40854637 -0.58428929 0.34263866 1.05292016 -0.49920323], Predicted=0 X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=0 X=[ 0.40912499 -0.18099175 -0.11727796 0.79040787 0.74282884 -0.72377504 -0.57327657 0.86023613 0.27640699 0.00134185 -0.01159456], Predicted=0 X=[ 0.05358295 -0.37943543 0.46119882 -1.0039189 0.78860436 -1.01779928 -0.05555308 -0.41041123 0.8062603 -0.08628968 -0.09286267], Predicted=0 X=[ 0.40912499 -0.37943543 0.54383836 -0.98420103 -0.035355 -0.25333627 -0.76153965 -0.87854447 -2.04170125 -0.96260494 0.23220977], Predicted=0 X=[-0.30195909 -0.0817699 -0.28255704 -0.88561164 -0.9508654 -1.25301866 0.34450598 -0.41041123 0.67379698 1.14055168 -0.01159456], Predicted=0 X=[-0.89452915 8.15364317 -1.4395106 -0.39266473 -0.58466124 -1.60584774 -0.690941 -1.15273679 1.07118696 -0.17392121 1.53249956], Predicted=0 X=[ 1.12020906 0.21589563 3.35358273 -0.90532952 -0.58466124 -0.13572658 0.41510463 -1.01229682 0.67379698 0.26423642 1.85757201], Predicted=0 X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295 0.01042052 0.2171025 0.29744021 0.22825626 2.72697856 -0.43681578 0.06967355], Predicted=0 X=[-1.01304317 -0.18099175 0.70911744 -0.23492171 -0.85931436 2.04005274 0.93282812 -0.87854447 1.40234528 -0.78734189 1.45123145], Predicted=1 X=[ 2.54237721 2.69644174 -0.28255704 0.33689671 -0.90508988 -1.25301866 -1.58519066 -0.34353506 -1.64431127 -1.13786799 1.04489089], Predicted=0 X=[-0.65750113 1.20811407 -0.11727796 0.82984363 0.14774708 0.15829765 1.66234758 1.36180745 1.86596693 0.87765711 -0.9868119 ], Predicted=0 X=[-1.25007119 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=1 X=[ 0.17209696 0.01745194 -0.03463842 1.61855869 -0.12690604 0.68754127 0.69749926 1.7965026 1.0049553 1.57870931 -1.39315246], Predicted=0 X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=0 X=[ 1.12020906 -0.18099175 3.35358273 0.21858945 -0.08113052 1.39319943 0.50923618 0.6596076 0.21017533 1.31581474 -0.41793512], Predicted=0 X=[-0.89452915 0.41433932 -0.44783612 0.04112856 -1.13396748 -0.37094597 -0.14968462 -0.71804165 -0.25344632 -1.13786799 0.7604525 ], Predicted=0 X=[ 0.88318104 -0.47865728 -0.6131152 1.75658383 0.97170644 -0.19453143 0.65043349 1.52899789 -1.04822629 -0.43681578 -1.06808001], Predicted=0 X=[-0.06493106 -0.28021359 -0.77839428 -0.36308791 0.33084916 0.33471219 1.70941335 0.49241715 1.20365029 1.57870931 -0.82427568], Predicted=0 X=[-0.30195909 -0.47865728 -0.11727796 -0.9250474 -0.99664092 -0.5473605 -0.8556712 -1.06579776 0.67379698 0.96528863 1.04489089], Predicted=1 X=[-1.48709922 -1.17321019 -0.53047566 -0.98420103 -0.08113052 1.04037035 0.69749926 -0.74479212 0.60756531 -1.05023647 -0.33666701], Predicted=0 X=[-0.77601514 0.66239393 -0.53047566 0.73125424 0.46817572 0.15829765 1.14462409 0.27841339 0.8062603 0.61476253 0.06967355], Predicted=0 X=[-1.01304317 -0.18099175 0.04800112 -1.0039189 0.01042052 -1.72345743 -2.57357186 -0.54416359 0.67379698 1.22818321 -0.09286267], Predicted=0 X=[ 1.35723709 -1.17321019 0.2132802 -0.96448315 -0.58466124 -1.25301866 -0.38501348 0.02428392 0.077712 -0.87497341 -0.17413078], Predicted=0 X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=0 X=[-0.53898711 0.11667379 -0.44783612 0.92843301 0.78860436 1.80483335 0.72103215 1.09430274 -1.97546959 0.70239405 -1.23061624], Predicted=0 X=[ 1.00169505 0.01745194 -0.03463842 0.06084644 -0.40155916 -0.19453143 0.39157175 0.3586648 1.33611362 1.14055168 0.15094166], Predicted=0 X=[-0.65750113 -0.0817699 1.0396756 1.05659921 -0.40155916 1.51080912 1.73294624 1.02742657 0.40887032 0.35186795 -0.82427568], Predicted=0 X=[ 0.17209696 -0.77632281 -0.03463842 -0.3335111 -0.7219878 -0.60616535 -1.46752623 -0.67122832 -2.04170125 0.43949948 -0.01159456], Predicted=0 X=[-0.18344508 -0.47865728 0.70911744 0.94815089 0.05619604 0.9815655 0.76809792 1.18792939 2.32958858 2.19213 -0.09286267], Predicted=0 X=[ 0.05358295 1.00967039 -0.69575474 0.67210061 -0.2642326 -0.42975081 1.23875564 1.02742657 0.60756531 1.05292016 -1.06808001], Predicted=0 X=[ 0.527639 -0.18099175 -0.1999175 -0.94476527 -0.2642326 0.2171025 0.81516369 -0.74479212 0.01148034 0.1766049 0.71981845], Predicted=0 X=[ 0.05358295 -0.37943543 -0.03463842 -0.9250474 -0.4931102 0.68754127 -0.05555308 -1.34667771 0.47510198 -0.78734189 1.69503579], Predicted=1 X=[-0.4204731 -1.17321019 0.04800112 -0.98420103 -0.76776332 -0.37094597 -0.12615174 -0.98554635 0.93872363 1.31581474 0.80108656], Predicted=1 X=[-0.65750113 -0.37943543 -0.36519658 1.4410978 -0.4931102 1.04037035 -0.10261885 0.5492619 -0.12098299 -0.96260494 0.06967355], Predicted=0 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[-0.65750113 -0.37943543 -0.36519658 1.4410978 -0.4931102 1.04037035 -0.10261885 0.5492619 -0.12098299 -0.96260494 0.06967355], Predicted=0 X=[-0.89452915 -0.37943543 -0.6131152 -0.9250474 -0.58466124 1.51080912 -0.10261885 -1.24636344 0.01148034 2.80555068 1.126159 ], Predicted=1 X=[-0.65750113 0.21589563 -0.36519658 -0.84617589 0.10197156 -0.13572658 0.08564423 -1.4938053 0.21017533 -0.26155273 1.93884012], Predicted=0 X=[-0.77601514 -0.37943543 -0.69575474 1.20448328 0.4224002 0.68754127 -0.10261885 1.18792939 0.74002864 0.1766049 -1.23061624], Predicted=0 X=[-0.30195909 -0.67710097 -0.1999175 0.98758664 -0.31000812 0.62873642 0.62690061 1.31165032 1.46857694 -0.43681578 -0.58047134], Predicted=0 X=[ 0.17209696 -0.67710097 -0.1999175 -0.0771787 0.01042052 -0.37094597 -0.71447388 -0.04259226 0.47510198 0.08897337 0.23220977], Predicted=0 X=[-1.48709922 -0.67710097 0.54383836 -1.0039189 -0.21845708 2.68690605 0.20330866 -1.31323962 0.21017533 4.03239204 0.88235467], Predicted=1 X=[-0.06493106 -0.87554465 0.04800112 -0.88561164 -0.2642326 0.33471219 -0.71447388 -1.34667771 0.40887032 -0.34918426 1.93884012], Predicted=1 X=[-0.30195909 0.06706287 1.28759423 0.98758664 -0.4931102 1.27558973 -0.0320202 1.10099036 -0.71706797 0.43949948 -1.31188435], Predicted=0 X=[-0.89452915 0.01745194 -0.53047566 0.31717883 0.10197156 0.33471219 0.55630195 0.31853909 0.14394366 0.1766049 -0.49920323], Predicted=0 X=[-0.89452915 3.98632571 1.53551285 -0.98420103 -0.40155916 -0.19453143 -0.3614806 -1.27311391 0.34263866 -0.34918426 1.20742712], Predicted=0 X=[-0.06493106 0.41433932 0.46119882 0.63266486 -0.90508988 -0.07692173 -0.33794771 -0.39034838 -0.05475133 -1.22549952 1.28869523], Predicted=0 X=[-0.06493106 0.61278301 0.87439652 0.04112856 0.28507364 -0.42975081 0.41510463 0.49241715 -0.31967798 -0.69971036 -0.74300757], Predicted=0 X=[ 0.29061097 -0.28021359 -0.28255704 -0.78702226 -0.17268156 -0.60616535 -0.38501348 -0.00915417 1.60104027 1.05292016 -0.01159456], Predicted=0 X=[-0.4204731 -0.18099175 1.37023377 0.31717883 0.23929812 0.62873642 1.37995295 0.44560383 -0.05475133 -0.17392121 -0.82427568], Predicted=0 X=[-0.4204731 0.31511748 2.27926871 1.30307267 0.33084916 -0.25333627 -0.3614806 1.02073895 -0.6508363 0.08897337 -0.9868119 ], Predicted=0 X=[ 0.40912499 -0.67710097 0.2132802 1.83545534 -0.035355 1.92244304 1.05049255 1.73631404 0.40887032 2.36739305 -0.90554379], Predicted=0 X=[ 1.12020906 -1.17321019 0.6264779 -0.9250474 -0.90508988 -0.37094597 0.03857846 -1.01229682 -1.11445795 2.5426561 1.61376767], Predicted=1 X=[-0.30195909 0.01745194 0.6264779 0.12000007 0.01042052 1.39319943 1.30935429 0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=0 X=[ 1.71277913 1.20811407 0.37855928 -1.04335466 -0.35578364 -1.19421382 -1.49105911 -0.2097827 -1.04822629 -0.52444731 -1.06808001], Predicted=0 X=[ 0.64615301 0.41433932 1.78343147 2.01291623 0.46817572 1.04037035 2.34480127 2.56557863 -1.51184794 0.79002558 -1.47442057], Predicted=0 X=[-1.48709922 -0.9747665 -0.36519658 -0.80674014 -0.2642326 -1.78226228 -2.14997991 -0.92535779 -0.78329963 -0.34918426 -0.33666701], Predicted=0 X=[-0.89452915 0.11667379 -0.53047566 -0.9250474 -0.99664092 -1.31182351 -1.46752623 -1.58074433 0.14394366 0.1766049 1.69503579], Predicted=1 X=[ 0.88318104 -0.87554465 0.29591974 1.32279054 -0.58466124 0.9815655 0.29744021 1.08092751 -0.05475133 2.63028763 -0.09286267], Predicted=0 X=[-0.89452915 -0.67710097 -1.19159198 -0.98420103 0.01042052 0.92276066 -0.17321751 -0.73141688 0.21017533 -0.87497341 -0.01159456], Predicted=0 X=[-1.84264125 0.21589563 -1.4395106 -0.43210048 -0.76776332 0.09949281 -0.90273697 -1.17948726 0.74002864 -1.13786799 1.04489089], Predicted=0 X=[ 3.49048932 0.8112267 0.95703606 -0.94476527 -0.17268156 -1.4294332 -0.33794771 0.12459818 -1.71054293 -0.26155273 0.23220977], Predicted=0 X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=0 X=[-0.53898711 0.8112267 -1.10895244 -0.13633233 3.30625795 1.51080912 0.79163081 0.19147436 0.34263866 -0.52444731 -0.82427568], Predicted=0 X=[-0.53898711 -0.57787912 1.28759423 0.21858945 0.37662468 0.39351704 0.29744021 0.25835054 0.54133365 0.26423642 -0.33666701], Predicted=0 X=[ 0.40912499 -0.57787912 0.13064066 -0.17576808 0.37662468 0.09949281 1.05049255 0.23828768 -0.71706797 0.08897337 -0.17413078], Predicted=0 X=[ 0.64615301 1.30733592 0.04800112 -0.3335111 -0.17268156 -0.95899443 -0.26734905 0.42554098 0.40887032 -0.61207884 -0.09286267], Predicted=0 X=[-0.53898711 -1.27243203 0.54383836 -1.0039189 0.33084916 1.51080912 0.17977578 -0.97217112 -0.12098299 1.66634084 0.394746 ], Predicted=0 X=[-0.77601514 1.60500145 -1.27423152 0.2580252 2.29919651 -0.42975081 1.68588046 1.23139891 2.4620519 2.01686694 -1.06808001], Predicted=0 X=[-1.01304317 -1.37165388 0.29591974 -1.02363678 -0.63043676 1.62841881 0.22684155 -0.72807307 0.87249197 -0.43681578 0.55728222], Predicted=0 X=[ 0.40912499 -0.87554465 -0.53047566 0.94815089 0.69705332 0.62873642 0.25037443 1.23474272 -1.31315295 0.87765711 -0.9868119 ], Predicted=0 X=[-0.18344508 -0.47865728 0.46119882 -0.76730438 5.77813603 1.62841881 0.46217041 -0.10946844 -0.51837298 -1.13786799 -0.90554379], Predicted=0 X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=0 X=[ 0.05358295 0.91044854 -0.86103382 0.61294698 0.51395124 1.09917519 0.65043349 0.55260571 0.27640699 -0.61207884 -0.41793512], Predicted=0 X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.32097309 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=0 X=[-0.77601514 3.78788202 1.20495468 -1.02363678 -0.76776332 -0.37094597 -1.49105911 -1.61418241 0.93872363 -0.87497341 1.85757201], Predicted=0 X=[-0.06493106 1.10889223 0.13064066 1.02702239 -0.08113052 1.27558973 1.92120932 1.24477414 -0.78329963 0.35186795 -0.9868119 ], Predicted=0 X=[ 0.29061097 -0.57787912 -0.03463842 -0.70815075 -0.58466124 0.74634612 0.34450598 -1.3801158 -0.25344632 -0.96260494 1.7763039 ], Predicted=1 X=[ 0.29061097 -0.47865728 0.13064066 1.99319835 -0.2642326 1.45200427 0.76809792 1.66275025 -0.18721466 0.87765711 -1.14934812], Predicted=0 X=[-0.77601514 0.61278301 -0.36519658 0.23830733 0.05619604 0.56993158 2.20360395 0.49241715 1.07118696 1.14055168 -0.41793512], Predicted=0 X=[ 0.64615301 0.71200485 -0.1999175 2.27910756 0.74282884 0.39351704 1.14462409 2.06400731 0.54133365 1.31581474 -1.14934812], Predicted=0 X=[-0.4204731 -0.9747665 -0.36519658 -0.9250474 -0.4931102 0.2171025 0.13271 -0.44384932 1.99843026 0.08897337 -0.01159456], Predicted=0 X=[-1.13155718 0.11667379 -0.69575474 1.1058939 0.51395124 0.74634612 2.01534087 1.36180745 0.27640699 -0.69971036 -1.23061624], Predicted=0 X=[-0.30195909 0.41433932 -0.53047566 0.88899726 -0.21845708 0.09949281 0.17977578 0.75992186 0.34263866 -0.17392121 -0.41793512], Predicted=0 X=[-6.57501128e-01 -6.77100966e-01 5.43838363e-01 -9.25047396e-01 -6.76212279e-01 7.46346116e-01 -1.02618853e-01 -7.78230204e-01 1.53480861e+00 1.34184656e-03 8.01086557e-01], Predicted=0 X=[-1.13155718 0.11667379 -0.03463842 0.19887157 -0.40155916 1.33439458 1.56821604 0.30850767 0.47510198 -0.69971036 -0.74300757], Predicted=0 X=[-1.60561323 0.11667379 -0.28255704 -1.04335466 -1.08819196 -0.90018958 -0.66740811 -1.78471666 1.0049553 -0.96260494 1.85757201], Predicted=1 X=[-1.48709922 0.71200485 0.54383836 -0.01802507 -1.08819196 -0.72377504 0.83869658 -0.61103976 2.32958858 0.08897337 0.88235467], Predicted=0 X=[ 0.88318104 2.00188883 -0.44783612 0.79040787 0.14774708 1.27558973 1.56821604 1.1544913 0.34263866 -0.34918426 -0.9868119 ], Predicted=0 X=[ 0.17209696 -0.77632281 -0.28255704 -0.05746082 -0.40155916 -0.25333627 -0.43207925 -0.04259226 0.34263866 0.1766049 0.23220977], Predicted=0 X=[-1.13155718 0.41433932 -1.19159198 1.59884082 -0.17268156 0.09949281 -0.54974368 0.94048754 -0.18721466 -0.52444731 -0.17413078], Predicted=0 X=[ 0.40912499 -1.07398834 -0.44783612 2.20023605 0.1935226 -0.13572658 0.36803886 1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=0 X=[ 0.527639 0.31511748 -0.69575474 0.0509875 -0.63043676 -0.31214112 -0.00848731 -0.53078835 -1.90923792 -1.05023647 0.47601411], Predicted=0 X=[-0.06493106 0.61278301 2.94038503 -1.0039189 0.55972676 -1.37062835 0.76809792 -0.31009697 -0.8495313 -0.17392121 -0.66173945], Predicted=0 X=[-1.3685852 -0.0817699 -1.4395106 0.5143576 0.33084916 -0.19453143 -0.64387523 0.23828768 1.13741862 -1.05023647 -0.09286267], Predicted=0 X=[ 0.76466702 -0.18099175 -0.6131152 2.35797907 1.74989028 -0.13572658 0.01504558 2.3649501 -0.12098299 -0.87497341 -1.39315246], Predicted=0 X=[ 0.29061097 -0.9747665 -0.11727796 1.14532965 0.10197156 0.04068796 -0.31441482 0.89367421 -1.77677459 0.43949948 -0.90554379], Predicted=0 X=[-0.30195909 1.00967039 -0.44783612 -0.70815075 -0.12690604 -1.07660412 -1.6793222 -1.60080718 0.14394366 -0.17392121 2.18264446], Predicted=1 X=[-0.4204731 -0.77632281 1.37023377 2.30868438 0.37662468 0.86395581 1.94474221 1.79984641 -1.64431127 1.31581474 -1.39315246], Predicted=0 X=[ 0.527639 -0.77632281 0.87439652 -0.98420103 -0.035355 -0.84138474 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=0 X=[-0.06493106 -0.28021359 0.04800112 1.50025143 -0.63043676 0.68754127 -0.12615174 0.39210289 1.20365029 0.08897337 1.36996334], Predicted=1 X=[ 1.00169505 2.10111067 5.50221078 2.60445253 -0.7219878 -0.42975081 -0.07908597 1.09430274 0.34263866 -0.78734189 1.20742712], Predicted=0 X=[ 0.40912499 0.31511748 -0.6131152 0.1791537 0.1935226 0.09949281 0.43863752 0.74320282 -0.6508363 -0.52444731 -1.23061624], Predicted=0 X=[ 0.76466702 -0.0817699 -0.1999175 -0.11661445 0.51395124 5.62714837 4.1097677 0.19147436 -0.05475133 0.87765711 -0.01159456], Predicted=0 X=[ 0.05358295 0.91044854 -0.86103382 0.61294698 0.51395124 1.09917519 0.65043349 0.55260571 0.27640699 -0.61207884 -0.41793512], Predicted=0 X=[-0.06493106 -0.87554465 -0.11727796 0.23830733 0.14774708 0.09949281 -0.73800677 -0.23653317 -0.45214131 -0.43681578 0.15094166], Predicted=0 X=[ 0.17209696 0.01745194 -0.6131152 -0.9250474 -0.17268156 -0.07692173 -0.1967504 -0.5107255 1.60104027 0.08897337 0.15094166], Predicted=0 X=[ 0.40912499 -0.47865728 -0.69575474 2.44670951 1.7956658 -0.95899443 -0.64387523 2.14425872 -0.58460464 0.1766049 -1.47442057], Predicted=0 X=[-0.06493106 0.41433932 0.79175698 -0.94476527 0.1935226 -1.84106713 -1.72638797 -0.18971985 0.54133365 -0.17392121 0.15094166], Predicted=0 X=[ 1.83129314 -0.77632281 -0.1999175 -0.70815075 0.37662468 -1.13540897 -1.16159871 0.04434677 -1.51184794 -0.34918426 -0.82427568], Predicted=0 X=[-0.77601514 -1.57009756 0.04800112 -0.96448315 -0.035355 0.45232188 -0.50267791 -0.04259226 1.53480861 0.1766049 -1.23061624], Predicted=0 X=[-1.25007119 0.01745194 0.13064066 -0.80674014 0.33084916 0.04068796 -0.57327657 -0.54416359 0.60756531 0.08897337 -0.2553989 ], Predicted=0 X=[ 0.88318104 -1.47087572 0.04800112 0.57351123 0.74282884 0.27590734 -0.29088194 0.86023613 0.14394366 -0.87497341 -0.74300757], Predicted=0 X=[-1.25007119 1.35694684 -1.68742922 -0.98420103 -0.2642326 -1.4294332 -1.74992086 -0.61103976 0.67379698 0.26423642 -0.01159456], Predicted=0 X=[ 2.06832116 2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443 -0.87920408 -0.74479212 -1.18068962 -0.96260494 1.53249956], Predicted=0 X=[ 1.59426511e+00 -1.80991745e-01 -3.46384190e-02 -7.47586507e-01 3.30849159e-01 -1.42943320e+00 -1.58519066e+00 -2.46655397e-03 -1.97546959e+00 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-0.18344508 2.29955436 -0.77839428 -0.84617589 -0.12690604 -1.25301866 0.39157175 -1.21292535 0.21017533 0.96528863 2.02010823], Predicted=0 X=[ 0.05358295 0.01745194 -0.1999175 0.15943582 -0.2642326 0.68754127 0.69749926 0.19147436 0.67379698 0.70239405 0.06967355], Predicted=0 X=[-0.4204731 -0.57787912 -0.1999175 -0.49125411 0.01042052 -1.07660412 -0.76153965 -1.01898444 -0.25344632 -1.57602562 0.80108656], Predicted=0 X=[-0.4204731 0.8112267 0.2132802 0.06084644 6.37321778 0.95216308 0.29744021 0.41885336 -0.12098299 -0.61207884 -0.9868119 ], Predicted=0 X=[-0.06493106 -0.28021359 0.04800112 -0.3335111 -0.67621228 -0.07692173 -0.10261885 -0.44384932 0.14394366 -0.96260494 0.06967355], Predicted=0 X=[ 0.29061097 -0.9747665 -0.11727796 1.14532965 0.10197156 0.04068796 -0.31441482 0.89367421 -1.77677459 0.43949948 -0.90554379], Predicted=0 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[ 0.05358295 0.21589563 -0.28255704 0.81998469 -0.40155916 -1.84106713 -2.59710474 -0.73141688 -0.78329963 -1.48839409 1.7763039 ], Predicted=1 X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=0 X=[ 0.64615301 -1.17321019 -0.03463842 -1.02363678 -0.17268156 0.68754127 -0.40854637 -0.68460356 -0.98199462 1.66634084 -0.01159456], Predicted=0 X=[-0.06493106 3.49021649 -2.43118509 -1.0039189 0.55972676 -0.60616535 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=0 X=[-0.30195909 -0.77632281 -0.11727796 -1.04335466 -0.31000812 -0.60616535 -1.42046046 -0.47728741 1.33611362 0.43949948 -0.2553989 ], Predicted=0 X=[-1.13155718 0.41433932 0.46119882 -0.60956137 3.12315587 -0.6649702 0.03857846 -0.2097827 -0.6508363 -0.34918426 -1.06808001], Predicted=0 X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=0 X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=0 X=[ 1.4757511 -0.0817699 0.13064066 -0.9250474 -0.7219878 0.15829765 -0.83213831 -0.49400645 0.21017533 1.22818321 -0.09286267], Predicted=0 X=[-0.30195909 -0.37943543 -0.03463842 0.73125424 -0.63043676 -1.60584774 -1.3498618 0.74654663 0.01148034 0.1766049 -0.58047134], Predicted=0 X=[ 2.54237721 -1.07398834 1.28759423 -1.06307253 -0.31000812 0.62873642 -0.17321751 -0.34353506 -0.6508363 0.1766049 -0.01159456], Predicted=0 X=[ 1.00169505 -0.37943543 -0.28255704 -0.98420103 -0.21845708 -1.19421382 -0.8556712 -0.37697314 0.47510198 0.35186795 -0.09286267], Predicted=0 X=[ 0.29061097 -1.07398834 -0.1999175 -0.94476527 -0.40155916 -1.19421382 -0.83213831 -1.01229682 -0.31967798 0.08897337 1.20742712], Predicted=0 X=[-1.25007119 -1.07398834 -0.28255704 -0.98420103 -0.40155916 1.15798004 -0.1967504 -1.04573491 0.67379698 -0.96260494 0.63855033], Predicted=0 X=[ 0.64615301 -0.57787912 -0.53047566 -0.94476527 0.51395124 0.56993158 -0.94980274 -0.34687886 0.67379698 -0.43681578 -0.49920323], Predicted=0 X=[ 1.23872307 -0.77632281 0.04800112 -1.02363678 -0.2642326 -0.37094597 -0.47914502 -0.27665888 -0.31967798 -0.69971036 0.06967355], Predicted=0 X=[ 0.76466702 0.26550655 0.37855928 -0.98420103 0.05619604 -0.31214112 -1.0204014 -0.81835591 0.21017533 0.26423642 0.80108656], Predicted=0 X=[ 1.35723709 -0.87554465 0.2132802 -0.90532952 0.1935226 -1.13540897 -1.27926314 -0.14290653 -0.25344632 -0.34918426 -0.58047134], Predicted=0 X=[ 0.40912499 -1.07398834 0.29591974 0.10028219 0.60550228 0.68754127 -0.24381617 -0.26997126 -0.71706797 -0.26155273 0.394746 ], Predicted=0 X=[ 0.88318104 2.00188883 -0.1999175 0.59322911 0.01042052 -1.72345743 1.30935429 1.0408018 -0.78329963 1.05292016 -0.90554379], Predicted=0 X=[-0.06493106 0.31511748 -1.19159198 -0.57012562 1.84144132 -0.31214112 -0.1967504 -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=0 X=[-1.13155718 -0.37943543 -1.77006876 -0.98420103 -0.4931102 1.45200427 2.55659724 -0.14959414 1.0049553 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0.79002558 -0.33666701], Predicted=0 X=[ 0.88318104 -1.07398834 0.13064066 -0.94476527 0.05619604 0.45232188 0.36803886 -0.2097827 1.13741862 1.75397237 0.47601411], Predicted=0 X=[-2.19818329 -1.07398834 1.86607101 -0.96448315 -0.90508988 -0.6649702 -0.54974368 -1.14604918 1.93219859 -0.87497341 0.23220977], Predicted=0 X=[ 1.00169505 0.01745194 -0.03463842 0.06084644 -0.40155916 -0.19453143 0.39157175 0.3586648 1.33611362 1.14055168 0.15094166], Predicted=0 X=[ 0.17209696 -0.37943543 0.13064066 -0.96448315 0.28507364 0.92276066 -0.24381617 0.02428392 1.46857694 0.87765711 -0.09286267], Predicted=0 X=[-0.30195909 0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597 -0.92626985 -1.24301963 -0.58460464 -0.78734189 1.45123145], Predicted=0 X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=0 X=[ 1.35723709 0.21589563 0.2132802 0.90871513 -0.53888572 -1.60584774 -1.60872354 -0.16296938 -0.91576296 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1.20365029 2.8931822 -0.82427568], Predicted=0 X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=0 X=[ 1.59426511 -0.67710097 1.20495468 -0.98420103 -0.21845708 -1.4294332 -0.92626985 0.59273142 -0.12098299 0.70239405 -0.49920323], Predicted=0 X=[-0.30195909 1.10889223 0.37855928 0.65238274 0.33084916 0.80515096 2.06240664 1.28489985 0.74002864 0.70239405 -0.90554379], Predicted=0 X=[-0.65750113 0.91044854 0.29591974 -0.96448315 -0.99664092 -1.37062835 -1.46752623 -1.76131 -1.64431127 -0.87497341 1.45123145], Predicted=0 X=[-0.77601514 -0.77632281 -0.11727796 -0.70815075 0.1935226 -1.07660412 -0.29088194 -0.14290653 -0.05475133 0.527131 -0.90554379], Predicted=0 X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01 2.17065924e+00 8.34379878e-01 -3.70945966e-01 3.85784619e-02 1.24811795e+00 7.77119994e-02 1.34184656e-03 -3.36667007e-01], Predicted=0 X=[-0.65750113 -0.0817699 1.28759423 -1.02363678 0.78860436 -0.01811689 -1.09100005 -0.97885873 1.26988195 -0.61207884 1.36996334], Predicted=0 X=[ 0.88318104 -0.47865728 2.52718733 1.28335479 -0.58466124 1.09917519 0.74456503 1.32836936 -1.24692128 0.35186795 -1.39315246], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[-0.53898711 -1.37165388 -0.1999175 -1.02363678 -0.53888572 1.04037035 -0.00848731 -1.06579776 1.26988195 -1.22549952 0.80108656], Predicted=0 X=[-1.01304317 1.30733592 -2.34854555 -0.96448315 0.78860436 -1.07660412 -0.43207925 -0.27665888 0.14394366 0.61476253 -1.06808001], Predicted=0 X=[-1.13155718 1.80344514 -1.60478968 -0.72786863 -0.17268156 -0.48855566 0.50923618 -0.31009697 1.79973526 0.1766049 0.06967355], Predicted=0 X=[ 2.18683518 0.31511748 3.27094319 1.569264 -0.08113052 -0.48855566 1.23875564 2.04060065 -1.51184794 3.41897136 -1.47442057], Predicted=0 X=[-1.01304317 0.01745194 -0.53047566 1.79601958 -0.44733468 -0.25333627 -0.10261885 0.0175963 0.01148034 -0.43681578 2.02010823], Predicted=1 X=[ 0.64615301 -0.9747665 -0.1999175 -0.98420103 0.55972676 0.15829765 0.67396638 -0.31009697 -0.18721466 0.35186795 -0.41793512], Predicted=0 X=[ 0.05358295 0.11667379 -0.86103382 0.43548609 0.46817572 1.21678489 1.80354489 0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=0 X=[-0.77601514 2.69644174 0.95703606 1.1058939 0.14774708 -0.48855566 1.12109121 1.12774083 -0.12098299 0.08897337 -0.9868119 ], Predicted=0 X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351 -1.86758528 -1.43027293 0.74002864 3.06844526 1.126159 ], Predicted=1 X=[ 1.71277913 -0.47865728 -0.28255704 -0.84617589 0.14774708 -0.84138474 0.34450598 0.42554098 -0.6508363 0.08897337 -0.74300757], Predicted=0 X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=0 X=[ 0.17209696 0.01745194 -0.03463842 1.61855869 -0.12690604 0.68754127 0.69749926 1.7965026 1.0049553 1.57870931 -1.39315246], Predicted=0 X=[-0.06493106 0.31511748 -2.01798739 -0.98420103 -0.2642326 1.21678489 0.15624289 -0.61103976 0.01148034 -0.26155273 -0.41793512], Predicted=0 X=[-0.89452915 -1.17321019 -0.36519658 -0.0771787 -0.7219878 -0.37094597 0.13271 0.23828768 3.25683187 -0.26155273 0.15094166], Predicted=0 X=[ 1.83129314 0.21589563 -0.69575474 2.23967181 0.05619604 -0.60616535 1.87414355 2.05063207 -1.37938461 1.49107779 -1.14934812], Predicted=0 X=[ 0.05358295 -0.67710097 2.36190825 -0.01802507 -0.17268156 -1.66465259 -0.690941 -0.14959414 -1.51184794 0.87765711 -0.2553989 ], Predicted=0 X=[-0.65750113 -0.57787912 -0.03463842 -0.9250474 -0.21845708 1.8636382 0.60336772 -0.41041123 0.87249197 0.61476253 -0.09286267], Predicted=0 X=[-0.4204731 -0.37943543 -0.36519658 0.35661459 -0.12690604 -0.19453143 0.41510463 0.1680677 -0.38590965 1.84160389 -0.33666701], Predicted=0 X=[ 2.90610974e-01 4.14339320e-01 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X=[-2.07966928 0.31511748 -0.28255704 -1.08279041 -0.40155916 -0.42975081 0.32097309 -0.67791594 2.32958858 0.61476253 -0.33666701], Predicted=0 X=[-1.96115527 -0.67710097 -0.1999175 -0.9250474 0.10197156 -1.07660412 -1.82051951 -1.50383672 0.34263866 -1.05023647 1.20742712], Predicted=0 X=[ 0.40912499 3.34138372 -1.93534784 -0.98420103 1.01748196 -0.60616535 0.36803886 0.3218829 0.077712 -0.08628968 -0.66173945], Predicted=0 X=[-0.89452915 1.30733592 -1.60478968 0.79040787 -0.40155916 -1.01779928 -0.45561214 0.6596076 1.26988195 -0.34918426 -0.41793512], Predicted=0 X=[ 0.40912499 0.41433932 0.54383836 0.45520397 -0.35578364 0.56993158 0.36803886 0.55260571 0.077712 -0.17392121 -0.09286267], Predicted=0 X=[-0.4204731 1.60500145 1.28759423 0.2580252 -0.035355 -1.13540897 0.72103215 0.55929333 -0.51837298 -1.05023647 -1.47442057], Predicted=0 X=[ 1.94980715 -0.47865728 0.04800112 -1.0039189 -0.4931102 1.09917519 -0.66740811 -0.75816735 -0.78329963 0.527131 0.394746 ], Predicted=0 X=[-0.06493106 -1.07398834 -0.11727796 -0.98420103 -0.2642326 -0.01811689 -0.76153965 -1.25973868 -0.18721466 1.49107779 1.20742712], Predicted=1 X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=0 X=[-0.65750113 0.26550655 -0.94367336 1.89460897 0.69705332 -0.5473605 0.06211135 1.40862078 -0.71706797 0.08897337 -1.14934812], Predicted=0 X=[ 1.4757511 0.31511748 -0.77839428 -0.94476527 -0.63043676 -1.48823805 -1.6793222 -0.54416359 -0.71706797 -0.17392121 -0.01159456], Predicted=0 X=[-0.30195909 0.41433932 0.6264779 0.15943582 0.10197156 1.15798004 0.93282812 0.44894764 0.077712 -0.26155273 -0.90554379], Predicted=0 X=[-0.89452915 0.61278301 -0.77839428 2.35797907 0.1935226 -0.13572658 1.07402544 1.80653403 -0.45214131 1.05292016 -0.9868119 ], Predicted=0 X=[-1.3685852 -0.37943543 1.12231514 -0.01802507 1.06325748 -0.01811689 1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.63465008], Predicted=0 X=[-0.77601514 0.01745194 0.95703606 0.21858945 -0.035355 0.62873642 1.52115026 0.56932476 0.47510198 -0.26155273 -1.06808001], Predicted=0 X=[-0.4204731 0.91044854 -0.28255704 -0.82645801 -0.58466124 0.2171025 -0.73800677 -1.70112144 0.21017533 0.35186795 2.42644879], Predicted=1 X=[ 0.64615301 -0.77632281 0.13064066 -0.05746082 -0.9508654 -1.48823805 -2.31471011 -0.53078835 -2.63778623 0.26423642 0.31347789], Predicted=0 X=[-0.4204731 2.20033252 -0.94367336 -0.45181836 -0.44733468 -0.01811689 -0.17321751 -1.27980153 0.47510198 0.527131 2.02010823], Predicted=1 X=[ 0.76466702 -0.9747665 0.46119882 -0.88561164 0.37662468 -0.72377504 -1.11453294 0.02428392 0.54133365 -0.34918426 -0.17413078], Predicted=0 X=[-1.72412724 -1.07398834 -0.53047566 -0.72786863 0.14774708 -0.42975081 -0.80860543 -0.59766453 1.79973526 0.527131 -0.17413078], Predicted=0 X=[-0.4204731 -0.47865728 -0.69575474 2.15094136 0.01042052 -1.19421382 -0.66740811 1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=0 X=[ 1.35723709 -0.28021359 -0.53047566 0.65238274 -0.44733468 -1.19421382 -1.25573025 0.01090868 -1.31315295 -1.13786799 0.55728222], Predicted=0 X=[ 2.06832116 0.31511748 -0.28255704 -1.08279041 -0.035355 -1.13540897 -0.690941 -0.51406931 -1.5780796 -0.87497341 -0.33666701], Predicted=0 X=[ 2.30534919 1.10889223 0.04800112 -0.09689658 0.4224002 -0.13572658 -0.24381617 -0.44384932 -1.5780796 0.1766049 1.04489089], Predicted=0 X=[-1.01304317 -0.9747665 -0.1999175 -0.98420103 -0.44733468 -1.25301866 -1.49105911 -1.06245396 1.0049553 0.79002558 0.47601411], Predicted=0 X=[ 0.29061097 1.60500145 0.29591974 -0.72786863 -0.21845708 -0.01811689 -0.24381617 -1.48043006 -0.78329963 -0.52444731 2.42644879], Predicted=0 X=[ 0.527639 -0.37943543 0.6264779 1.42137993 0.1935226 0.33471219 0.93282812 1.59587407 1.20365029 -0.52444731 -0.66173945], Predicted=0 X=[ 0.76466702 -0.37943543 -0.1999175 1.30307267 0.14774708 0.62873642 1.85061067 1.49555981 -0.71706797 0.35186795 -1.39315246], Predicted=0 X=[-0.06493106 -1.07398834 0.04800112 -0.86589377 -0.2642326 0.15829765 -0.64387523 -1.34667771 0.34263866 -0.34918426 1.93884012], Predicted=1 X=[ 0.17209696 0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958 -0.50267791 -1.18617488 0.14394366 0.08897337 0.71981845], Predicted=0 X=[ 0.40912499 -0.18099175 -0.28255704 -0.84617589 -0.58466124 0.86395581 0.46217041 -1.04573491 0.93872363 -0.52444731 1.28869523], Predicted=1 X=[ 0.88318104 -1.07398834 0.2132802 -0.37294685 -0.17268156 -0.5473605 -0.8556712 0.08112867 -0.6508363 -0.17392121 -0.82427568], Predicted=0 X=[ 1.47575110e+00 -1.80991745e-01 -3.46384190e-02 9.28433010e-01 2.85073639e-01 1.01096792e+00 4.62170406e-01 1.19461701e+00 -1.04822629e+00 1.34184656e-03 -2.55398896e-01], Predicted=0 X=[-2.43521132 -1.47087572 -0.11727796 -1.02363678 -0.17268156 0.27590734 -0.94980274 -1.41355388 1.53480861 1.31581474 1.04489089], Predicted=1 X=[-1.13155718 -0.18099175 -0.53047566 2.32840225 0.10197156 0.9815655 0.69749926 1.76306451 1.07118696 -0.43681578 -0.90554379], Predicted=0 X=[ 0.17209696 2.89488543 -1.93534784 0.37633246 2.20764547 -0.72377504 1.16815698 1.06086466 1.40234528 -0.17392121 -1.06808001], Predicted=0 X=[-0.53898711 -0.67710097 1.37023377 1.02702239 -0.17268156 0.56993158 0.34450598 1.06086466 -0.25344632 -0.52444731 -1.39315246], Predicted=0 X=[ 0.40912499 0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566 -1.20866448 -1.24636344 0.74002864 0.87765711 1.69503579], Predicted=1 X=[-1.01304317 0.01745194 0.13064066 -0.88561164 -0.40155916 -1.13540897 -0.43207925 -0.24322079 -0.18721466 1.75397237 0.06967355], Predicted=0 X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=0 X=[ 1.71277913 -1.37165388 0.04800112 -1.04335466 -0.17268156 -1.66465259 -2.14997991 -0.2097827 1.86596693 -0.78734189 -0.2553989 ], Predicted=0 X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01 2.17065924e+00 8.34379878e-01 -3.70945966e-01 3.85784619e-02 1.24811795e+00 7.77119994e-02 1.34184656e-03 -3.36667007e-01], Predicted=0 X=[-1.01304317 -0.77632281 3.10566411 -0.94476527 4.77107459 -1.48823805 -1.98524971 -0.44384932 -0.45214131 -0.17392121 -0.58047134], Predicted=0 X=[-0.30195909 -0.87554465 0.79175698 0.88899726 -0.035355 1.04037035 0.36803886 1.16786654 2.19712525 2.45502457 -0.09286267], Predicted=0 X=[-0.4204731 -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504 -1.06746717 -1.01229682 1.0049553 1.84160389 1.20742712], Predicted=1 X=[-3.01959090e-01 -1.80991745e-01 1.86607101e+00 1.77630171e+00 3.30849159e-01 -1.94531426e-01 6.21113476e-02 1.36180745e+00 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[-3.01959090e-01 -1.80991745e-01 -5.30475661e-01 1.06645815e+00 1.01971559e-01 -4.29750812e-01 -6.20342339e-01 6.79670449e-01 -2.10793291e+00 1.34184656e-03 -6.61739454e-01], Predicted=0 X=[ 0.76466702 0.51356116 0.2132802 -0.74758651 0.23929812 -0.5473605 -0.29088194 -1.02232825 0.87249197 0.35186795 1.7763039 ], Predicted=0 X=[-0.30195909 -0.28021359 -0.1999175 -0.96448315 -0.4931102 -0.19453143 -0.26734905 -0.64447785 1.46857694 -0.17392121 0.63855033], Predicted=0 X=[-0.77601514 -1.07398834 -0.44783612 -0.3335111 -0.40155916 0.2171025 -0.12615174 -0.31009697 1.46857694 -0.26155273 0.23220977], Predicted=0 X=[ 1.94980715 2.79566358 3.35358273 2.25938968 0.23929812 0.92276066 2.4624657 2.16432157 -1.31315295 1.84160389 -1.06808001], Predicted=0 X=[-0.65750113 -0.87554465 -0.03463842 0.73125424 0.78860436 1.62841881 -0.12615174 0.52919905 -2.17416458 -0.69971036 -1.14934812], Predicted=0 X=[ 0.40912499 0.41433932 -0.28255704 0.36647352 -1.179743 -1.25301866 -0.80860543 -0.13621891 -1.31315295 -0.43681578 0.71981845], Predicted=0 X=[ 0.88318104 -0.57787912 0.04800112 0.65238274 -0.4931102 -0.5473605 0.10917712 0.82679804 -0.71706797 0.00134185 -0.58047134], Predicted=0 X=[ 0.17209696 -0.67710097 -0.44783612 0.21858945 1.109033 0.56993158 1.09755832 0.86023613 1.0049553 0.527131 -0.90554379], Predicted=0 X=[ 1.94980715 -0.67710097 -0.6131152 0.56365229 -0.53888572 2.21646728 0.08564423 0.15803627 -0.91576296 -1.05023647 0.71981845], Predicted=1 X=[ 0.64615301 -0.28021359 0.29591974 1.40166205 0.6512778 0.9815655 1.26228852 1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=0 X=[ 0.29061097 0.91044854 -0.28255704 -0.03774295 -0.2642326 0.80515096 0.01504558 -1.27645772 -0.12098299 -1.92655172 2.5077169 ], Predicted=1 X=[ 0.40912499 0.21589563 -0.28255704 0.33689671 0.1935226 0.27590734 1.16815698 0.83348566 -0.25344632 0.00134185 -1.14934812], Predicted=0 X=[ 0.40912499 -0.67710097 5.50221078 -1.04335466 4.95417667 0.62873642 -0.57327657 -0.31009697 -1.5780796 -0.52444731 -1.06808001], Predicted=0 X=[ 1.4757511 0.01745194 0.04800112 -1.0039189 -0.4931102 -1.4294332 -0.29088194 -0.57091406 -0.31967798 0.08897337 -0.58047134], Predicted=0 X=[-0.30195909 0.01745194 -0.86103382 0.79040787 0.14774708 0.56993158 1.21522275 1.17455416 -0.45214131 0.1766049 -1.39315246], Predicted=0 X=[ 1.35723709 -0.57787912 -0.1999175 -0.15605021 0.14774708 -0.6649702 -0.97333563 -0.34353506 -0.58460464 -0.61207884 0.31347789], Predicted=0 X=[ 1.59426511 -0.47865728 0.54383836 -1.02363678 -0.85931436 0.04068796 -0.40854637 -0.67791594 -0.45214131 -0.96260494 0.15094166], Predicted=0 X=[-1.3685852 -0.18099175 -0.69575474 0.79040787 -1.179743 -1.66465259 -1.91465106 -0.00915417 1.33611362 -1.05023647 0.06967355], Predicted=0 X=[ 1.35723709 -1.37165388 1.28759423 -0.96448315 -0.4931102 0.39351704 -0.43207925 -0.41041123 0.47510198 -0.78734189 0.06967355], Predicted=0 X=[-0.53898711 0.11667379 -1.27423152 1.6974302 -0.2642326 -0.84138474 -0.5262108 1.1143656 -0.31967798 0.08897337 -1.06808001], Predicted=0 X=[ 0.17209696 -0.37943543 -0.6131152 -0.9250474 -0.21845708 -0.25333627 -0.66740811 -0.87185685 0.077712 0.35186795 0.394746 ], Predicted=0 X=[ 1.23872307e+00 1.74519434e-02 6.26477903e-01 -8.65893766e-01 -8.11305203e-02 8.63955809e-01 3.20973091e-01 -2.09782702e-01 1.73350360e+00 1.34184656e-03 1.50941663e-01], Predicted=0 X=[ 2.06832116e+00 8.11226697e-01 -6.13115201e-01 9.28433010e-01 -7.21987799e-01 4.81724307e-01 7.68097920e-01 2.58350535e-01 -1.04822629e+00 1.34184656e-03 1.20742712e+00], Predicted=0 X=[ 0.05358295 1.20811407 0.29591974 0.49463972 0.33084916 0.04068796 0.22684155 0.6596076 -0.18721466 0.08897337 -0.9868119 ], Predicted=0 X=[ 0.88318104 0.21589563 -0.53047566 0.82984363 -0.31000812 -0.25333627 -0.45561214 1.3785265 0.54133365 -1.66365715 -0.9868119 ], Predicted=0 X=[ 1.35723709 -0.37943543 1.20495468 0.08056431 0.05619604 -1.31182351 -0.10261885 0.71310854 0.27640699 1.84160389 -0.41793512], Predicted=0 X=[ 0.527639 -0.28021359 0.6264779 -0.90532952 -0.40155916 0.9815655 0.62690061 -0.97885873 0.67379698 -0.87497341 1.36996334], Predicted=0 X=[-0.30195909 1.10889223 -0.44783612 0.55379335 -0.44733468 -1.48823805 -1.09100005 -0.65785309 -0.78329963 -1.22549952 1.28869523], Predicted=0 X=[ 0.64615301 1.10889223 -0.86103382 0.12000007 -0.58466124 -0.37094597 -0.29088194 -0.00915417 -0.31967798 -0.61207884 -0.01159456], Predicted=0 X=[-1.01304317 -0.0817699 -0.6131152 -1.0039189 -0.35578364 -0.19453143 -0.00848731 -0.9287016 1.79973526 -0.52444731 0.47601411], Predicted=0 X=[-0.06493106 0.71200485 1.61815239 0.73125424 0.33084916 0.09949281 0.29744021 0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=0 X=[-0.77601514 -0.28021359 1.20495468 0.71153637 -0.08113052 2.51049151 2.39186704 0.84351708 0.40887032 -0.17392121 -0.82427568], Predicted=0 X=[-0.06493106 -0.57787912 -0.36519658 0.49463972 0.01042052 2.74571089 1.16815698 0.49241715 0.74002864 -0.43681578 -0.17413078], Predicted=0 X=[ 0.05358295 -0.57787912 -0.44783612 0.27774308 0.1935226 0.45232188 -0.5262108 -0.25659603 0.21017533 0.96528863 0.80108656], Predicted=1 X=[-1.13155718 1.40655776 0.2132802 -0.78702226 -0.53888572 -0.95899443 -1.44399334 -0.73141688 0.40887032 -0.08628968 0.31347789], Predicted=0 X=[ 2.06832116 2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443 -0.87920408 -0.74479212 -1.18068962 -0.96260494 1.53249956], Predicted=0 X=[ 0.64615301 2.10111067 -0.77839428 1.71714808 -0.7219878 -0.07692173 0.34450598 0.42554098 -0.38590965 0.1766049 1.20742712], Predicted=0 X=[-0.30195909 0.91044854 1.12231514 0.02141068 0.69705332 -0.72377504 0.27390732 0.45897907 -0.31967798 -0.34918426 -0.74300757], Predicted=0 X=[ 0.527639 0.01745194 0.29591974 -1.02363678 -0.31000812 -0.5473605 -0.92626985 -0.68460356 -1.18068962 1.14055168 0.23220977], Predicted=0 X=[ 0.88318104 -0.67710097 0.87439652 -0.88561164 -0.44733468 -1.48823805 -0.45561214 -0.91198256 -1.18068962 1.84160389 1.85757201], Predicted=0 X=[ 1.00169505 -0.9747665 1.61815239 -1.02363678 -0.21845708 0.39351704 0.67396638 -1.079173 -0.51837298 -0.43681578 1.126159 ], Predicted=0 X=[-0.30195909 -0.37943543 0.37855928 0.31717883 -0.17268156 1.21678489 1.14462409 0.58269999 0.14394366 -0.26155273 -1.06808001], Predicted=0 X=[ 0.17209696 0.21589563 1.28759423 -0.3335111 -0.44733468 -1.07660412 -0.78507254 -0.81166829 0.47510198 1.66634084 1.53249956], Predicted=1 X=[ 1.23872307 0.8112267 1.61815239 1.28335479 0.14774708 1.62841881 0.01504558 1.30161889 -1.64431127 -0.34918426 -1.14934812], Predicted=0 X=[ 0.40912499 0.31511748 -0.77839428 -0.98420103 0.51395124 -1.07660412 -0.50267791 -0.41041123 -0.18721466 -1.22549952 -0.01159456], Predicted=0 X=[ 0.88318104 -1.27243203 0.54383836 -1.0039189 -0.44733468 -0.6649702 -0.62034234 -0.27665888 -0.31967798 2.36739305 -0.41793512], Predicted=0 X=[-0.89452915 0.01745194 -0.6131152 -0.96448315 -0.7219878 -0.60616535 -0.87920408 -1.70112144 -1.04822629 -0.69971036 1.28869523], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[-0.53898711 -0.87554465 0.70911744 -0.68843288 -0.63043676 -0.19453143 -1.30279603 -1.079173 0.74002864 -0.69971036 0.96362278], Predicted=0 X=[-3.01959090e-01 -2.80213589e-01 1.45287331e+00 3.17178833e-01 5.61960394e-02 1.51080912e+00 1.19168986e+00 6.72982831e-01 2.10175327e-01 1.34184656e-03 -1.06808001e+00], Predicted=0 X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=0 X=[-0.65750113 -0.77632281 -0.6131152 1.24391904 0.01042052 1.45200427 0.10917712 0.41216574 0.47510198 -1.22549952 0.23220977], Predicted=0 X=[-1.25007119 0.41433932 -0.44783612 -0.4123826 -0.63043676 0.62873642 -0.54974368 -1.52724338 -0.18721466 0.70239405 2.02010823], Predicted=1 X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504 -0.64387523 0.00756487 1.07118696 1.31581474 -0.2553989 ], Predicted=0 X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 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0.01148034 -0.96260494 1.69503579], Predicted=1 X=[ 0.05358295 0.11667379 -0.28255704 0.35661459 -0.90508988 -0.01811689 -0.62034234 -0.86516923 -1.24692128 -1.05023647 1.45123145], Predicted=1 X=[ 1.12020906 -0.28021359 0.29591974 -1.06307253 -0.12690604 -1.48823805 -1.37339468 -0.91867018 -0.71706797 -0.96260494 0.71981845], Predicted=0 X=[-0.89452915 0.21589563 -0.28255704 -0.84617589 -0.67621228 0.86395581 0.57983483 -1.51386815 1.33611362 -0.52444731 1.7763039 ], Predicted=1 X=[ 0.40912499 -1.07398834 0.04800112 0.00169281 -0.17268156 -1.13540897 -0.64387523 -0.41709885 -1.31315295 -0.78734189 0.23220977], Predicted=0 X=[ 0.05358295 -0.9747665 -0.28255704 -0.86589377 -0.35578364 0.2171025 1.21522275 -0.87854447 0.87249197 -1.05023647 1.36996334], Predicted=0 X=[-0.30195909 -1.17321019 -0.11727796 -0.98420103 -0.4931102 0.80515096 1.12109121 -1.14604918 1.07118696 1.31581474 1.53249956], Predicted=1 X=[ 0.64615301 0.8112267 -0.03463842 -0.98420103 -0.9508654 -0.48855566 -1.96171683 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0.47510198 1.84160389 -0.17413078], Predicted=0 X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332 0.9815655 -0.45561214 -1.533931 -1.04822629 -1.40076257 1.93884012], Predicted=1 X=[-1.25007119 0.21589563 -1.77006876 -0.94476527 -0.44733468 1.27558973 0.57983483 -0.54750739 1.26988195 0.87765711 -0.01159456], Predicted=0 X=[ 0.05358295 0.41433932 -0.28255704 -0.90532952 -0.44733468 -0.42975081 -0.50267791 -0.44719313 0.34263866 -0.08628968 0.394746 ], Predicted=0 X=[ 0.88318104 1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259 -0.62034234 -1.14604918 -1.24692128 -0.69971036 1.69503579], Predicted=0 X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708 0.09949281 0.13271 -1.533931 0.21017533 -0.87497341 1.85757201], Predicted=1 X=[ 0.40912499 -0.47865728 0.46119882 -0.80674014 -0.58466124 -0.37094597 -0.8556712 -1.079173 0.47510198 0.43949948 1.45123145], Predicted=1 X=[ 1.71277913 0.01745194 0.54383836 0.27774308 -0.21845708 0.15829765 1.30935429 1.19461701 1.0049553 0.1766049 -0.74300757], Predicted=0 X=[-0.30195909 -1.17321019 -0.69575474 0.67210061 0.14774708 1.42260185 -0.0320202 0.32522671 -0.18721466 -0.96260494 -0.41793512], Predicted=0 X=[-1.60561323 0.96005946 0.37855928 -0.9250474 -0.44733468 -1.07660412 -0.94980274 -0.87185685 0.67379698 -0.87497341 -0.01159456], Predicted=0 X=[-1.3685852 -0.28021359 -1.0263129 -0.96448315 -0.08113052 -0.84138474 -0.71447388 -0.87185685 0.74002864 0.87765711 0.394746 ], Predicted=0 X=[-1.13155718 1.35694684 -2.59646417 -1.10250829 -0.35578364 -0.78257989 -1.77345374 -0.27665888 1.13741862 -1.13786799 -0.9868119 ], Predicted=0 X=[-0.18344508 -0.67710097 0.2132802 0.42562715 -1.179743 -0.90018958 -1.23219737 -0.85848162 0.01148034 -2.36470935 2.34518068], Predicted=1 X=[ 0.29061097 5.67309706 1.28759423 0.45520397 -0.81353884 0.27590734 1.07402544 0.72648377 0.21017533 -1.13786799 0.15094166], Predicted=0 X=[ 0.40912499 -1.96698494 1.28759423 -1.0039189 0.1935226 -1.01779928 0.22684155 0.15803627 1.79973526 -0.43681578 -0.2553989 ], Predicted=0 X=[ 0.17209696 0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958 -0.50267791 -1.18617488 0.14394366 0.08897337 0.71981845], Predicted=0 X=[-0.53898711 -0.0817699 -1.19159198 -0.88561164 1.7956658 -0.84138474 1.35642006 0.37872765 1.99843026 1.31581474 -0.82427568], Predicted=0 X=[-0.06493106 -0.87554465 -0.86103382 -0.25463959 -0.53888572 2.09885758 1.54468315 0.05772201 0.27640699 1.75397237 -0.33666701], Predicted=0 X=[ 0.76466702 -0.0817699 0.2132802 0.12000007 -0.44733468 0.56993158 0.60336772 -0.04259226 -1.04822629 -1.40076257 0.394746 ], Predicted=0 X=[-0.30195909 -0.47865728 -0.28255704 1.67771232 0.23929812 -0.13572658 -0.47914502 1.44540267 -0.98199462 0.43949948 -1.23061624], Predicted=0 X=[-0.77601514 3.78788202 1.20495468 -1.02363678 -0.76776332 -0.37094597 -1.49105911 -1.61418241 0.93872363 -0.87497341 1.85757201], Predicted=0 X=[ 0.29061097 -0.77632281 -0.53047566 0.63266486 -0.40155916 -0.95899443 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1.15798004 1.54468315 1.14445988 -0.18721466 -0.69971036 -0.74300757], Predicted=0 X=[-1.60561323 0.01745194 -1.0263129 -0.94476527 -0.63043676 -0.72377504 -1.25573025 -1.25639487 1.53480861 -0.61207884 1.61376767], Predicted=0 X=[-1.3685852 -0.9747665 -0.6131152 -0.82645801 -1.04241644 -0.84138474 -1.0204014 -1.58074433 -0.78329963 0.43949948 1.45123145], Predicted=1 X=[-2.07966928 -0.47865728 -1.27423152 -1.06307253 0.33084916 -1.31182351 -0.92626985 -1.4938053 0.21017533 -0.87497341 0.80108656], Predicted=0 X=[-2.07966928 0.51356116 -0.53047566 0.06084644 -1.08819196 0.51112673 -0.22028328 -0.60769595 1.13741862 -0.87497341 0.394746 ], Predicted=0 X=[-0.06493106 -1.07398834 0.13064066 -0.90532952 -0.2642326 -0.37094597 -1.27926314 -1.47708625 -1.84300626 0.70239405 1.20742712], Predicted=0 X=[ 2.06832116e+00 -7.76322810e-01 7.09117443e-01 -9.64483150e-01 -2.18457080e-01 -1.81168871e-02 -3.14414825e-01 -5.10725497e-01 -5.18372977e-01 1.34184656e-03 7.19818445e-01], Predicted=0 X=[ 0.29061097 -0.37943543 0.6264779 2.24953075 0.01042052 0.2171025 0.15624289 1.93025495 0.87249197 -0.87497341 -1.47442057], Predicted=0 X=[-0.77601514 1.60500145 -1.27423152 0.2580252 2.29919651 -0.42975081 1.68588046 1.23139891 2.4620519 2.01686694 -1.06808001], Predicted=0 X=[ 0.17209696 -0.18099175 0.04800112 0.88899726 -0.35578364 -0.60616535 -1.27926314 0.09784771 -0.51837298 -1.31313104 0.31347789], Predicted=0 X=[ 1.35723709 -0.18099175 -0.44783612 0.35661459 -0.35578364 2.15766243 1.49761738 0.5459181 -0.45214131 0.61476253 -0.41793512], Predicted=0 X=[-0.77601514 0.41433932 -1.77006876 -0.31379322 0.37662468 -1.72345743 -0.97333563 0.07109724 -0.18721466 0.08897337 -0.9868119 ], Predicted=0 X=[ 1.59426511 -0.77632281 0.2132802 0.33689671 -0.4931102 1.45200427 0.57983483 0.39210289 -0.91576296 -1.66365715 -0.17413078], Predicted=0 X=[-0.18344508 1.40655776 1.0396756 0.65238274 0.37662468 1.8636382 2.25066972 1.48887219 0.27640699 0.08897337 -1.23061624], Predicted=0 X=[-0.18344508 2.00188883 1.28759423 -0.68843288 -0.7219878 -0.42975081 -0.38501348 -1.59411956 -0.38590965 -0.78734189 2.02010823], Predicted=0 X=[ 2.54237721 1.00967039 1.61815239 -0.84617589 2.57384963 -0.95899443 -1.46752623 -1.3433339 -1.71054293 0.70239405 1.93884012], Predicted=0 X=[ 1.12020906 0.31511748 0.54383836 -0.94476527 -0.85931436 -0.90018958 -1.20866448 -0.97885873 -0.25344632 -0.08628968 1.126159 ], Predicted=0 X=[-0.18344508 1.30733592 0.04800112 0.55379335 0.14774708 -0.37094597 0.27390732 0.9271123 0.21017533 0.1766049 -1.14934812], Predicted=0 X=[ 0.64615301 0.01745194 1.28759423 -0.96448315 -0.53888572 -0.90018958 -0.29088194 -0.74479212 -1.37938461 -0.87497341 0.06967355], Predicted=0 X=[ 1.83129314 0.31511748 -0.1999175 -1.07293147 -1.13396748 0.9815655 0.22684155 -1.21961297 -1.71054293 -1.48839409 0.80108656], Predicted=0 X=[ 0.17209696 -0.0817699 3.35358273 -0.96448315 -0.44733468 -0.48855566 -0.38501348 -0.47728741 1.07118696 -0.08628968 0.55728222], Predicted=0 X=[ 0.88318104 -0.57787912 -0.44783612 1.1058939 0.46817572 1.92244304 0.10917712 1.42868363 -1.31315295 -1.66365715 -1.06808001], Predicted=0 X=[-1.25007119 -0.18099175 -0.77839428 0.55379335 -0.08113052 1.15798004 0.32097309 0.69304568 0.8062603 -0.96260494 -0.90554379], Predicted=0 X=[ 2.77940524 -0.47865728 -0.28255704 -1.04335466 -0.67621228 0.27590734 -0.92626985 -0.37697314 -1.64431127 -1.66365715 -0.09286267], Predicted=0 X=[ 1.00169505 0.31511748 -0.86103382 -0.86589377 1.06325748 -0.37094597 -0.10261885 -0.06934273 -0.51837298 1.14055168 -0.58047134], Predicted=0 X=[-0.4204731 -0.37943543 0.37855928 -1.06307253 -0.85931436 -0.25333627 -1.13806583 -1.59411956 0.34263866 -1.13786799 1.45123145], Predicted=1 X=[ 1.71277913 -0.67710097 0.6264779 -0.82645801 0.1935226 -0.6649702 -0.71447388 -0.00915417 -2.24039624 -0.34918426 -0.82427568], Predicted=0 X=[-0.30195909 0.01745194 0.70911744 0.35661459 -0.08113052 1.45200427 1.35642006 0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=0 X=[-0.18344508 -0.28021359 -0.6131152 1.40166205 0.6512778 0.86395581 0.41510463 1.27486842 1.33611362 -0.26155273 -0.49920323], Predicted=0 X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474 -1.53812488 -1.69443383 -0.12098299 -1.48839409 1.93884012], Predicted=1 X=[ 0.29061097 -0.77632281 0.2132802 1.02702239 -0.17268156 0.56993158 -0.33794771 0.99398848 -1.77677459 0.87765711 -0.82427568], Predicted=0 X=[-1.01304317 -0.28021359 0.54383836 -0.13633233 0.28507364 1.21678489 0.32097309 -0.01584179 -0.18721466 3.41897136 -0.01159456], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[-1.48709922 -0.18099175 -0.53047566 0.82984363 -0.7219878 -0.48855566 -0.45561214 0.22491245 1.40234528 -1.31313104 0.15094166], Predicted=0 X=[ 1.59426511 -0.47865728 -0.36519658 -0.90532952 0.05619604 0.68754127 1.14462409 -0.24322079 -0.38590965 0.08897337 -0.2553989 ], Predicted=0 X=[-0.89452915 0.01745194 -0.28255704 0.26788414 -0.67621228 -0.13572658 0.01504558 -0.35691029 0.21017533 -0.26155273 0.394746 ], Predicted=0 X=[ 2.30534919 -0.87554465 -0.28255704 -0.27435747 -0.81353884 -0.07692173 -0.43207925 -0.53747597 -1.64431127 -0.17392121 0.55728222], Predicted=0 X=[ 8.83181037e-01 -7.76322810e-01 -6.13115201e-01 -3.13793220e-01 -5.84661239e-01 -5.47360505e-01 -1.46752623e+00 -1.09254824e+00 -1.37938461e+00 1.34184656e-03 1.45123145e+00], Predicted=1 X=[ 0.64615301 -1.22282111 0.04800112 -0.80674014 -0.035355 2.2458697 1.78001201 -0.2097827 -0.05475133 1.05292016 -0.49920323], Predicted=0 X=[ 0.17209696 -0.0817699 1.20495468 -0.05746082 -0.17268156 1.45200427 1.07402544 0.5459181 0.077712 0.08897337 -0.90554379], Predicted=0 X=[ 1.71277913 1.30733592 1.45287331 -0.86589377 0.01042052 -1.4294332 1.61528181 -0.34353506 -1.11445795 0.527131 0.71981845], Predicted=0 X=[-0.53898711 1.95227791 -2.26590601 -1.06307253 -0.7219878 -1.54704289 -0.17321751 -1.21292535 -1.44561627 -1.75128867 0.23220977], Predicted=0 X=[ 1.35723709 -0.37943543 -0.03463842 -1.02363678 -0.08113052 -0.42975081 -0.87920408 -1.2296444 -1.04822629 -0.52444731 1.61376767], Predicted=0 X=[ 0.40912499 0.61278301 0.04800112 1.22420116 0.10197156 -1.66465259 -2.29117723 0.05772201 0.01148034 -0.78734189 0.96362278], Predicted=0 X=[-1.3685852 -0.67710097 -0.69575474 -1.04335466 -0.4931102 -0.5473605 -1.3498618 -1.27980153 0.8062603 0.26423642 0.71981845], Predicted=0 X=[-1.48709922 -0.9747665 -0.28255704 0.75097212 -0.81353884 -0.42975081 -0.17321751 0.45897907 1.99843026 -0.61207884 0.23220977], Predicted=0 X=[ 0.29061097 -0.18099175 1.28759423 -0.82645801 -0.63043676 -0.25333627 -0.59680945 -1.24636344 1.20365029 -0.61207884 1.93884012], Predicted=1 X=[ 1.83129314 -0.9747665 0.70911744 -0.25463959 -0.44733468 -1.66465259 -1.44399334 -0.04259226 -0.18721466 0.26423642 0.96362278], Predicted=0 X=[-0.53898711 -0.0817699 1.28759423 0.1791537 0.01042052 1.04037035 1.59174892 0.52585524 0.34263866 -0.52444731 -1.06808001], Predicted=0 X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=0 X=[-0.30195909 -1.17321019 0.04800112 -1.04335466 -0.40155916 0.33471219 -0.54974368 -1.3801158 -1.18068962 1.66634084 1.20742712], Predicted=1 X=[-0.53898711 -1.37165388 -0.44783612 0.29746096 0.51395124 -0.84138474 -1.32632891 0.07444105 0.47510198 -1.13786799 -0.41793512], Predicted=0 X=[-4.20473102e-01 -1.37165388e+00 -3.46384190e-02 2.38307327e-01 1.93522599e-01 1.04037035e+00 1.19168986e+00 8.60236126e-01 4.08870320e-01 1.34184656e-03 -1.55568868e+00], Predicted=0 X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 -0.25333627 -0.50267791 1.3785265 0.54133365 -1.75128867 -1.06808001], Predicted=0 X=[-0.4204731 -0.0817699 -1.19159198 -0.43210048 0.01042052 -1.72345743 -0.57327657 0.49241715 0.40887032 -1.22549952 -1.55568868], Predicted=0 X=[-0.65750113 3.19255096 0.87439652 0.90871513 0.1935226 0.86395581 2.50953147 1.06086466 0.01148034 0.70239405 -0.9868119 ], Predicted=0 X=[ 0.17209696 0.8112267 -0.69575474 -0.13633233 -1.4086206 -1.25301866 -1.53812488 -1.47039863 -2.43909123 0.87765711 2.18264446], Predicted=1 X=[-0.30195909 1.00967039 0.2132802 0.55379335 0.69705332 0.39351704 1.78001201 1.19461701 0.8062603 0.61476253 -0.90554379], Predicted=0 X=[ 1.4757511 0.11667379 1.28759423 0.13971794 -0.17268156 -0.78257989 -0.33794771 0.12459818 -0.31967798 -0.69971036 0.23220977], Predicted=0 X=[ 0.17209696 -1.07398834 0.29591974 -0.13633233 -0.9508654 -0.37094597 -0.64387523 -0.07603035 0.077712 0.00134185 0.23220977], Predicted=0 X=[ 0.40912499 0.11667379 0.54383836 0.23830733 -0.99664092 1.21678489 0.90929523 -0.41041123 -0.98199462 -1.48839409 0.80108656], Predicted=0 X=[ 0.29061097 0.11667379 -0.28255704 1.89460897 -0.44733468 1.33439458 1.47408449 1.84331592 0.74002864 1.57870931 -1.23061624], Predicted=0 X=[-0.30195909 -0.67710097 -0.36519658 -0.90532952 -0.90508988 -0.01811689 -0.24381617 -0.73476069 1.20365029 -0.08628968 0.55728222], Predicted=0 X=[ 1.83129314 -0.57787912 -0.28255704 -1.0039189 -0.35578364 0.56993158 -0.38501348 -0.75147973 -0.38590965 0.43949948 0.23220977], Predicted=0 X=[-1.01304317 2.15072159 -0.53047566 -0.27435747 5.09150323 -1.07660412 -0.22028328 -0.02252941 -1.04822629 -1.13786799 -0.9868119 ], Predicted=0 X=[-0.77601514 0.11667379 -0.11727796 -0.55040774 -0.90508988 0.2171025 -0.00848731 -1.61418241 0.8062603 -1.05023647 2.10137634], Predicted=1 X=[-0.06493106 0.21589563 -0.36519658 -0.03774295 -0.9508654 -0.37094597 -1.0204014 -1.10926728 -1.04822629 -1.48839409 1.93884012], Predicted=1 X=[-0.65750113 -0.57787912 0.04800112 -1.02363678 -0.44733468 -0.19453143 -0.99686851 -1.47708625 -0.8495313 2.19213 0.88235467], Predicted=0 X=[ 0.76466702 0.31511748 -0.77839428 0.13971794 -0.67621228 -0.42975081 0.06211135 -0.0191856 -0.18721466 -0.96260494 0.06967355], Predicted=0 X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=0 X=[-0.89452915 -0.0817699 -0.03463842 -0.82645801 -1.13396748 -0.5473605 -0.50267791 -1.81481094 -0.45214131 -1.66365715 1.61376767], Predicted=1 X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=0 X=[ 0.05358295 -0.87554465 0.54383836 -0.98420103 -0.44733468 -1.25301866 -1.96171683 -1.04573491 -0.71706797 1.66634084 0.80108656], Predicted=0 X=[-1.13155718 1.20811407 -0.11727796 -0.0771787 -0.53888572 0.86395581 -0.26734905 -0.67791594 2.13089358 0.79002558 1.61376767], Predicted=1 X=[ 0.17209696 -0.47865728 -0.03463842 -0.11661445 -0.2642326 -0.60616535 -0.05555308 0.32522671 0.01148034 0.79002558 -0.82427568], Predicted=0 X=[ 1.71277913 -0.9747665 -0.28255704 -1.04335466 -0.58466124 -0.90018958 -1.91465106 -0.98220254 -1.11445795 0.1766049 0.394746 ], Predicted=0 X=[-0.06493106 -0.28021359 -0.53047566 0.8495615 1.38368612 0.68754127 0.36803886 0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=0 X=[-0.4204731 -0.87554465 -1.93534784 -1.0039189 0.01042052 -0.72377504 -0.73800677 -0.10946844 0.67379698 -0.34918426 -0.41793512], Predicted=0 X=[ 0.17209696 0.8112267 0.13064066 -0.76730438 0.10197156 1.8636382 0.53276906 -0.85848162 -0.91576296 0.61476253 0.47601411], Predicted=0 X=[-0.89452915 -0.28021359 1.20495468 1.85517321 0.28507364 -0.60616535 -1.04393428 1.2681808 -0.78329963 -0.34918426 -1.06808001], Predicted=0 X=[-0.65750113 0.01745194 -0.36519658 0.08056431 0.23929812 0.27590734 0.10917712 -0.0960932 1.60104027 0.87765711 0.394746 ], Predicted=0 X=[-0.53898711 0.91044854 0.29591974 -0.30393428 -0.21845708 0.24650492 1.83884422 0.09784771 -0.58460464 0.08897337 -0.58047134], Predicted=0 X=[ 2.18683518 -1.27243203 -0.28255704 -0.94476527 0.01042052 -0.37094597 -0.1967504 0.05772201 0.21017533 -0.96260494 -0.58047134], Predicted=0 X=[ 0.527639 -0.9747665 -0.1999175 2.15094136 0.4224002 -0.19453143 1.37995295 2.06400731 -0.38590965 -0.26155273 -1.23061624], Predicted=0 X=[ 0.29061097 1.10889223 -0.28255704 0.69181849 -0.40155916 -0.37094597 -0.33794771 0.03765915 -0.78329963 -0.61207884 0.31347789], Predicted=0 X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228 0.27590734 -0.57327657 -1.079173 1.53480861 -0.78734189 0.394746 ], Predicted=0 X=[-0.30195909 0.8112267 -0.77839428 -1.08279041 -0.35578364 -1.19421382 -1.56165777 -1.12598632 0.27640699 -0.87497341 0.394746 ], Predicted=0 X=[ 0.17209696 -0.9747665 1.28759423 -0.21520384 -0.2642326 -0.07692173 -0.31441482 -0.87854447 0.34263866 -0.78734189 1.36996334], Predicted=1 X=[ 0.17209696 -0.57787912 -0.6131152 -0.70815075 -0.44733468 0.51112673 -0.14968462 -1.08586062 1.0049553 -0.69971036 1.20742712], Predicted=1 X=[-1.48709922 1.40655776 0.04800112 -0.78702226 -1.08819196 -0.07692173 -0.97333563 -1.63090146 0.21017533 -0.96260494 1.85757201], Predicted=0 X=[ 0.17209696 0.41433932 -0.36519658 -0.29407534 -0.44733468 0.33471219 0.27390732 -0.78491782 1.26988195 -0.52444731 1.36996334], Predicted=1 X=[ 0.29061097 -0.77632281 -0.1999175 0.09042325 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=0 X=[ 0.40912499 1.20811407 -0.77839428 0.41576822 0.4224002 0.56993158 0.29744021 0.74654663 0.077712 0.26423642 -1.06808001], Predicted=0 X=[-0.06493106 0.91044854 2.77510595 -0.96448315 5.91546259 -1.13540897 -0.94980274 -0.53078835 -0.8495313 0.61476253 -0.17413078], Predicted=0 X=[-1.60561323 -1.17321019 -0.1999175 -1.02363678 -0.90508988 -0.25333627 -1.65578931 -1.41355388 0.93872363 -0.43681578 0.92298872], Predicted=1 X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=0 X=[ 0.64615301 -1.27243203 0.70911744 -0.9250474 -0.035355 0.80515096 0.36803886 -0.67791594 -1.24692128 0.96528863 -0.09286267], Predicted=0 X=[-0.18344508 -0.67710097 1.28759423 -0.98420103 0.05619604 -0.31214112 -0.57327657 -0.87854447 -1.77677459 -0.61207884 0.23220977], Predicted=0 X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=0 X=[-0.77601514 -1.27243203 1.0396756 -0.94476527 -0.31000812 0.15829765 -0.3614806 -0.34353506 1.26988195 0.1766049 -0.66173945], Predicted=0 X=[ 0.64615301 -0.18099175 -0.1999175 -0.78702226 -0.12690604 1.33439458 0.93282812 0.02428392 1.53480861 1.66634084 0.06967355], Predicted=0 X=[ 0.29061097 1.10889223 3.76678043 -0.98420103 6.78519746 -0.72377504 -1.13806583 -0.63779023 -0.12098299 -0.26155273 -0.01159456], Predicted=0 X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351 -0.24381617 -0.7782302 0.01148034 0.00134185 0.71981845], Predicted=0 X=[ 2.06832116 -0.9747665 -0.44783612 -1.10250829 -0.63043676 -0.60616535 -1.42046046 -0.99892159 -1.31315295 -0.96260494 0.47601411], Predicted=0 X=[-2.3166973 0.66239393 0.04800112 -1.06307253 1.01748196 -0.19453143 0.10917712 -0.88523209 0.34263866 -0.78734189 -0.33666701], Predicted=0 X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=0 X=[-0.89452915 -0.57787912 0.37855928 -0.70815075 4.49642147 -1.37062835 -1.72638797 -1.079173 -1.5780796 1.31581474 0.71981845], Predicted=0 X=[ 1.12020906 -0.77632281 -0.77839428 -0.94476527 -0.90508988 -0.5473605 1.19168986 -1.01229682 -0.71706797 2.19213 1.28869523], Predicted=1 X=[ 0.05358295 2.10111067 -0.77839428 -1.02363678 0.14774708 -1.31182351 -0.31441482 -0.27665888 -0.12098299 0.1766049 -0.90554379], Predicted=0 X=[-1.3685852 -0.28021359 -0.53047566 0.86927938 0.1935226 1.33439458 -0.5262108 0.63285713 -0.58460464 0.08897337 -0.58047134], Predicted=0 X=[-1.84264125 -1.17321019 0.46119882 -1.06307253 -0.81353884 0.27590734 -0.87920408 -0.82504353 2.52828357 0.87765711 0.06967355], Predicted=0 X=[ 1.59426511 -0.57787912 0.2132802 0.08056431 -0.53888572 -1.37062835 -1.13806583 0.12459818 -1.18068962 -0.96260494 -0.01159456], Predicted=0 X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=0 X=[-1.01304317 0.41433932 1.0396756 -0.96448315 0.1935226 1.21678489 1.19168986 -0.31678458 0.34263866 0.00134185 -0.74300757], Predicted=0 X=[ 0.05358295 0.71200485 3.35358273 -1.06307253 -0.08113052 -1.01779928 -0.14968462 -0.67791594 -0.38590965 0.527131 -0.2553989 ], Predicted=0 X=[-3.62035144 0.31511748 -2.59646417 0.92843301 -0.44733468 -0.90018958 -0.57327657 -0.51741311 3.72045352 -0.43681578 1.53249956], Predicted=1 X=[-1.25007119 -0.57787912 -0.36519658 -1.08279041 -0.53888572 -0.07692173 -1.16159871 -1.56068147 -0.31967798 -1.13786799 0.47601411], Predicted=0 X=[ 0.40912499 -0.37943543 0.54383836 2.25938968 0.14774708 0.86395581 1.09755832 1.99713113 1.0049553 -0.61207884 -0.74300757], Predicted=0 X=[ 0.40912499 0.41433932 1.12231514 -0.25463959 -0.08113052 -0.95899443 -1.72638797 -1.01229682 -1.04822629 -0.69971036 1.69503579], Predicted=0 X=[-1.25007119 -0.18099175 -0.77839428 0.55379335 -0.08113052 1.15798004 0.32097309 0.69304568 0.8062603 -0.96260494 -0.90554379], Predicted=0 X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=0 X=[-0.77601514 1.50577961 1.28759423 0.00169281 -0.035355 -1.37062835 -0.54974368 0.75992186 0.54133365 0.70239405 -1.23061624], Predicted=0 X=[-0.06493106 0.41433932 -1.27423152 0.21858945 -0.21845708 2.09885758 1.99180798 0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=0 X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=0 X=[-0.89452915 0.21589563 1.12231514 -0.98420103 0.14774708 0.86395581 1.14462409 -0.44384932 0.01148034 -0.34918426 -0.82427568], Predicted=0 X=[-1.48709922 0.61278301 -1.93534784 -1.0039189 -0.67621228 -0.90018958 -1.65578931 -1.14604918 1.13741862 0.1766049 0.55728222], Predicted=0 X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=0 X=[-0.06493106 1.95227791 -0.03463842 -0.48139517 0.05619604 -1.13540897 -1.3498618 -1.38680341 0.27640699 0.35186795 2.34518068], Predicted=0 X=[-1.01304317 0.91044854 -0.11727796 -1.06307253 0.33084916 -0.25333627 1.88590999 -0.54416359 0.67379698 2.01686694 -0.58047134], Predicted=0 X=[-0.65750113 -0.47865728 -0.03463842 0.10028219 0.28507364 -0.72377504 -0.47914502 -0.07603035 0.27640699 -0.26155273 -0.09286267], Predicted=0 X=[-0.89452915 -0.37943543 -0.53047566 1.00730452 0.1935226 0.92276066 -0.12615174 0.2449753 0.21017533 -1.05023647 0.23220977], Predicted=0 X=[-0.06493106 0.41433932 -0.44783612 -0.31379322 -0.53888572 -0.60616535 -0.90273697 -1.25973868 -0.71706797 -0.17392121 1.53249956], Predicted=1 X=[-0.30195909 -0.28021359 -0.11727796 -0.15605021 -0.31000812 -1.19421382 -1.65578931 -0.80163687 -1.51184794 0.26423642 0.47601411], Predicted=0 X=[ 0.05358295 1.40655776 -1.10895244 1.77630171 -0.12690604 1.27558973 1.47408449 1.48887219 -0.71706797 0.43949948 -0.90554379], Predicted=0 X=[-0.77601514 0.8112267 -1.60478968 0.49463972 -0.44733468 0.15829765 0.39157175 0.73317139 0.54133365 0.08897337 -0.90554379], Predicted=0 X=[-0.65750113 -0.18099175 1.28759423 -0.96448315 0.28507364 -0.07692173 -0.10261885 -0.54416359 -1.31315295 1.05292016 -0.58047134], Predicted=0 X=[ 0.64615301 1.20811407 0.6264779 1.51996931 0.33084916 0.09949281 1.30935429 1.61593692 0.077712 1.22818321 -0.90554379], Predicted=0 X=[ 0.17209696 -0.67710097 0.04800112 0.41576822 -0.58466124 -0.25333627 2.69779455 0.42554098 0.21017533 0.61476253 -0.01159456], Predicted=0 X=[-0.30195909 -1.07398834 -0.28255704 -1.04335466 -0.67621228 -1.31182351 -1.53812488 -1.02901587 -0.12098299 0.79002558 0.394746 ], Predicted=0 X=[-0.4204731 -0.18099175 -0.77839428 0.86927938 -0.17268156 0.68754127 -0.1967504 0.6596076 -0.71706797 -0.78734189 -0.33666701], Predicted=0 X=[ 0.40912499 1.10889223 2.36190825 0.90871513 0.05619604 1.80483335 0.93282812 1.19461701 -0.18721466 0.08897337 -1.47442057], Predicted=0 X=[ 0.29061097 2.10111067 -0.94367336 -0.86589377 0.05619604 6.53862349 3.98033683 -0.54416359 0.34263866 -1.05023647 0.394746 ], Predicted=0 X=[-0.06493106 -1.47087572 0.46119882 -0.98420103 -0.53888572 -0.95899443 -0.8556712 -0.94207684 0.27640699 0.96528863 0.63855033], Predicted=0 X=[ 0.527639 0.11667379 -0.36519658 -0.35322897 -0.76776332 -0.48855566 0.39157175 -0.31009697 -0.78329963 -2.01418325 0.06967355], Predicted=0 X=[-0.4204731 -0.87554465 -0.53047566 -0.29407534 -0.40155916 -1.31182351 -0.87920408 -0.81166829 -0.12098299 -0.69971036 1.04489089], Predicted=0 X=[-1.01304317 -0.28021359 -0.44783612 0.2580252 0.33084916 0.09949281 -0.14968462 0.28844481 -0.8495313 0.08897337 -0.90554379], Predicted=0 X=[-0.53898711 0.11667379 -1.0263129 0.6425238 -0.21845708 0.04068796 -0.45561214 -0.22984555 -1.31315295 -1.31313104 0.34056725], Predicted=0 X=[ 0.17209696 -0.77632281 0.04800112 -0.84617589 0.14774708 -1.37062835 -0.05555308 -0.61103976 0.40887032 -0.26155273 0.88235467], Predicted=0 X=[ 1.23872307 -0.57787912 0.37855928 0.31717883 -0.12690604 0.62873642 0.32097309 -0.2097827 -0.45214131 -1.48839409 0.80108656], Predicted=0 X=[-0.53898711 0.01745194 -0.36519658 -0.94476527 0.28507364 -0.07692173 -0.26734905 -0.37697314 1.93219859 0.61476253 -0.01159456], Predicted=0 X=[ 0.29061097 -1.07398834 0.37855928 0.19887157 0.28507364 0.80515096 1.02695966 0.59273142 1.07118696 0.26423642 -0.74300757], Predicted=0 X=[ 0.64615301 -0.67710097 3.84941997 1.16504753 -0.35578364 2.45168666 1.05049255 1.25480557 -1.5780796 -0.08628968 -1.23061624], Predicted=0 X=[-0.53898711 -0.87554465 0.13064066 0.75097212 -0.12690604 0.27590734 -0.76153965 0.76660948 -0.18721466 0.08897337 -0.66173945], Predicted=0 X=[ 1.00169505 -0.0817699 0.04800112 -0.90532952 -0.81353884 -0.5473605 0.69749926 -0.97885873 -1.31315295 -0.08628968 1.28869523], Predicted=0 X=[ 0.40912499 1.20811407 0.37855928 -0.82645801 -0.7219878 0.27590734 -0.690941 -1.09589204 0.54133365 -0.26155273 1.69503579], Predicted=0 X=[-0.4204731 0.3647284 -1.10895244 0.04112856 -0.21845708 -1.54704289 -0.29088194 0.30516386 -1.64431127 0.1766049 -1.39315246], Predicted=0 X=[ 1.4757511 -1.07398834 0.87439652 1.51996931 0.33084916 0.45232188 0.15624289 2.19775966 0.60756531 2.27976152 -1.39315246], Predicted=0 X=[ 0.527639 -0.37943543 0.46119882 -0.55040774 -0.99664092 -0.01811689 -0.5262108 -0.41041123 -0.12098299 0.1766049 0.31347789], Predicted=0 X=[ 0.05358295 -0.47865728 0.37855928 0.37633246 0.05619604 0.68754127 0.55630195 0.45897907 1.0049553 0.26423642 -0.01159456], Predicted=0 X=[-6.49310643e-02 1.74519434e-02 2.13280202e-01 1.20000067e-01 -1.26906040e-01 1.45200427e+00 1.61528181e+00 5.12480007e-01 -1.87214657e-01 1.34184656e-03 -7.43007566e-01], Predicted=0 X=[-0.06493106 -0.18099175 0.04800112 1.71714808 0.6512778 0.39351704 0.55630195 1.01070752 0.34263866 0.26423642 -0.01159456], Predicted=0 X=[-0.18344508 1.20811407 -0.94367336 0.47492185 0.28507364 -0.6649702 -0.59680945 0.57935618 0.21017533 -0.34918426 -0.90554379], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 -0.9250474 -0.44733468 -0.13572658 -0.87920408 -0.29337792 0.14394366 0.43949948 0.23220977], Predicted=0 X=[-1.25007119 -0.87554465 -0.03463842 -0.43210048 -0.35578364 0.80515096 -0.12615174 -0.98889016 -0.18721466 -0.61207884 0.63855033], Predicted=0 X=[-0.53898711 0.01745194 0.2132802 -1.0039189 0.33084916 -0.42975081 1.12109121 -0.64113404 0.8062603 -0.34918426 0.23220977], Predicted=0 X=[-0.65750113 -0.28021359 -0.53047566 0.04112856 0.37662468 0.27590734 0.46217041 -0.08271797 0.077712 -0.08628968 -0.17413078], Predicted=0 X=[-0.53898711 -0.37943543 -0.44783612 1.00730452 0.1935226 -0.07692173 0.57983483 0.96055039 0.8062603 -0.34918426 -0.82427568], Predicted=0 X=[ 1.00169505 -0.0817699 2.27926871 1.1058939 0.01042052 1.68722366 0.95636101 1.39524554 -0.78329963 -0.26155273 -1.31188435], Predicted=0 X=[-0.65750113 -0.23060267 0.29591974 -1.04335466 -0.2642326 0.09949281 -0.57327657 -1.17948726 -1.24692128 -0.87497341 0.31347789], Predicted=0 X=[-0.4204731 -0.9747665 -0.1999175 -0.9250474 -0.08113052 -0.31214112 -0.26734905 -0.41041123 1.99843026 0.08897337 -0.2553989 ], Predicted=0 X=[-0.53898711 0.71200485 -0.44783612 1.22420116 -0.31000812 -0.95899443 -0.33794771 0.45563526 0.077712 -0.52444731 0.06967355], Predicted=0 X=[-0.65750113 0.8112267 1.37023377 0.37633246 0.33084916 0.92276066 1.49761738 0.49241715 0.077712 0.1766049 -0.74300757], Predicted=0 X=[ 1.4757511 0.8112267 2.11398963 1.42137993 0.23929812 1.45200427 -0.10261885 1.61593692 -1.51184794 -0.87497341 -1.47442057], Predicted=0 X=[-1.3685852 -0.28021359 -0.53047566 1.00730452 -0.2642326 -0.6649702 -0.43207925 0.02762773 0.93872363 -1.57602562 0.23220977], Predicted=0 X=[ 0.05358295 1.60500145 0.70911744 0.41576822 0.10197156 -1.48823805 0.20330866 1.12774083 0.87249197 -0.26155273 -0.82427568], Predicted=0 X=[ 0.40912499 -1.27243203 0.37855928 -1.02363678 -0.35578364 -1.01779928 -0.66740811 -0.7782302 0.01148034 -0.52444731 0.47601411], Predicted=0 X=[ 0.29061097 1.60500145 2.36190825 1.06645815 -0.08113052 0.9815655 0.32097309 1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=0 X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774 0.51395124 -1.31182351 -1.25573025 0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=0 X=[ 0.76466702 0.71200485 -0.44783612 0.63266486 0.23929812 -0.5473605 0.43863752 0.96055039 -0.45214131 0.35186795 -1.06808001], Predicted=0 X=[ 0.17209696 1.80344514 0.46119882 -0.03774295 -0.31000812 0.62873642 0.57983483 -0.41041123 0.14394366 -1.22549952 1.36996334], Predicted=0 X=[-1.25007119e+00 -9.74766499e-01 2.95919742e-01 -1.02363678e+00 -4.47334679e-01 -9.58994430e-01 -1.51459200e+00 -1.83821761e+00 -6.50836305e-01 1.34184656e-03 1.77630390e+00], Predicted=1 X=[-0.18344508 0.21589563 0.95703606 0.82984363 -0.63043676 1.21678489 1.73294624 0.99398848 0.21017533 0.87765711 -0.82427568], Predicted=0 X=[ 1.83129314 0.8112267 0.2132802 0.92843301 -0.63043676 -0.84138474 -0.14968462 -0.30006554 -1.5780796 -0.87497341 2.02010823], Predicted=1 X=[-0.30195909 0.21589563 -0.28255704 -0.31379322 5.68658499 1.45200427 0.65043349 0.19147436 -0.05475133 -0.17392121 -0.90554379], Predicted=0 X=[ 0.88318104 0.51356116 0.2132802 -0.84617589 -0.53888572 -0.5473605 0.79163081 0.12459818 1.53480861 -0.08628968 -0.01159456], Predicted=0 X=[-6.57501128e-01 4.13515848e+00 1.78343147e+00 1.28335479e+00 4.68175718e-01 1.33439458e+00 2.67426167e+00 1.34843222e+00 6.73796976e-01 1.34184656e-03 -1.47442057e+00], Predicted=0 X=[ 1.35723709 -0.47865728 -0.44783612 -0.72786863 0.10197156 0.80515096 0.62690061 0.39210289 0.47510198 2.01686694 -0.82427568], Predicted=0 X=[ 0.64615301 -0.77632281 10.95642044 -0.84617589 -1.08819196 -0.07692173 -0.59680945 -0.79494925 0.47510198 0.527131 1.36996334], Predicted=0 X=[-0.53898711 -1.07398834 -0.53047566 0.69181849 0.05619604 -0.5473605 -0.87920408 0.64623236 1.0049553 0.08897337 -0.49920323], Predicted=0 X=[ 0.17209696 0.41433932 -0.53047566 0.13971794 -0.85931436 0.09949281 -0.38501348 -0.79494925 -0.25344632 0.96528863 1.69503579], Predicted=1 X=[-0.65750113 -0.47865728 1.28759423 0.13971794 0.1935226 1.8636382 1.68588046 0.3586648 0.27640699 -1.31313104 -0.82427568], Predicted=0 X=[-0.65750113 0.31511748 -0.28255704 0.71153637 0.01042052 0.80515096 1.73294624 0.72648377 3.65422186 0.527131 1.126159 ], Predicted=0 X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=0 X=[-0.18344508 0.21589563 3.35358273 -0.27435747 -0.35578364 -0.01811689 0.43863752 0.15803627 0.14394366 -0.26155273 -0.49920323], Predicted=0 X=[ 1.12020906 -0.0817699 -0.44783612 -0.90532952 0.1935226 -0.84138474 -0.26734905 -0.2097827 -0.25344632 -0.43681578 -0.49920323], Predicted=0 X=[-0.77601514 -0.37943543 -0.36519658 1.3622263 -0.31000812 0.80515096 -0.1967504 0.39210289 0.93872363 -0.26155273 0.394746 ], Predicted=1 X=[ 0.29061097 1.00967039 -0.36519658 1.42137993 -0.21845708 -0.31214112 -0.0320202 0.19481817 -1.11445795 4.12002357 1.28869523], Predicted=1 X=[-0.77601514 0.01745194 0.6264779 -0.27435747 -0.12690604 0.86395581 1.16815698 -0.2833465 0.27640699 1.31581474 0.23220977], Predicted=0 X=[ 0.76466702 -0.37943543 -0.36519658 -1.04335466 0.01042052 -0.07692173 -1.27926314 -1.27980153 -0.98199462 -0.87497341 0.7604525 ], Predicted=0 X=[ 0.40912499 -0.57787912 -0.77839428 -0.98420103 -0.21845708 -1.07660412 0.48570329 -0.69129117 0.40887032 0.35186795 0.55728222], Predicted=0 X=[-0.89452915 0.21589563 1.86607101 -0.70815075 -0.08113052 0.68754127 0.95636101 -0.54416359 0.74002864 0.70239405 0.31347789], Predicted=0 X=[ 1.23872307 0.51356116 -0.6131152 -1.02363678 -0.08113052 -0.72377504 -0.83213831 -0.27665888 0.01148034 0.43949948 -0.01159456], Predicted=0 X=[-1.48709922 0.01745194 -0.53047566 -0.49125411 -0.12690604 0.9815655 0.46217041 -0.67122832 1.07118696 -0.43681578 0.15094166], Predicted=0 X=[ 0.40912499 2.69644174 -2.01798739 -0.96448315 2.84850275 -1.13540897 0.29744021 -0.07603035 -0.78329963 0.70239405 -1.06808001], Predicted=0 X=[ 3.60900333 2.10111067 -0.86103382 -0.78702226 1.88721684 -0.95899443 -0.54974368 0.25835054 -2.77024955 -0.43681578 -0.90554379], Predicted=0 X=[-0.77601514 -0.67710097 -0.77839428 -1.02363678 0.23929812 -0.25333627 -1.0204014 -1.22630059 0.34263866 0.70239405 0.63855033], Predicted=0 X=[ 0.05358295 0.21589563 0.2132802 -1.08279041 -0.40155916 0.27590734 0.41510463 -1.45367959 -0.71706797 -1.13786799 1.28869523], Predicted=0 X=[-0.4204731 1.00967039 1.61815239 -0.98420103 4.40487043 -1.78226228 -1.63225643 -0.47728741 -0.31967798 0.26423642 -0.33666701], Predicted=0 X=[-1.01304317 -1.47087572 0.2132802 -0.94476527 0.28507364 -0.72377504 -1.56165777 -1.43361674 -0.58460464 0.08897337 0.80108656], Predicted=0 X=[-1.25007119 0.41433932 -0.44783612 -0.4123826 -0.63043676 0.62873642 -0.54974368 -1.52724338 -0.18721466 0.70239405 2.02010823], Predicted=1 X=[ 1.4757511 -0.28021359 0.37855928 -0.51097199 0.23929812 -1.01779928 -0.22028328 -0.41041123 0.14394366 -0.96260494 0.80108656], Predicted=0 X=[-0.89452915 0.51356116 -0.28255704 -0.668715 -0.44733468 -0.31214112 -0.33794771 -1.6074948 0.8062603 -0.78734189 2.10137634], Predicted=1 X=[ 1.83129314 2.89488543 0.87439652 0.8495615 0.23929812 0.62873642 1.33288718 1.36180745 -0.25344632 0.1766049 -0.09286267], Predicted=0 X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 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0.25835054 -1.97546959 -1.31313104 -0.33666701], Predicted=0 X=[-0.4204731 0.01745194 0.04800112 0.69181849 -0.35578364 -0.31214112 -0.12615174 0.45897907 -0.51837298 -0.43681578 -0.58047134], Predicted=0 X=[ 0.88318104 2.00188883 0.29591974 -1.10250829 -0.40155916 -1.84106713 -0.90273697 -1.27980153 -1.04822629 -0.87497341 0.71981845], Predicted=0 X=[ 0.88318104 0.31511748 -0.53047566 0.47492185 -1.13396748 1.27558973 0.41510463 0.1312858 -0.71706797 -0.96260494 0.394746 ], Predicted=0 X=[ 0.05358295 -0.57787912 0.46119882 -0.0771787 -0.4931102 0.51112673 0.06211135 -0.93538922 -0.51837298 -1.40076257 1.61376767], Predicted=1 X=[-1.25007119 1.20811407 0.70911744 -0.39266473 0.05619604 0.18770008 2.50953147 -0.10946844 0.40887032 0.70239405 -0.74300757], Predicted=0 X=[-1.48709922 -0.28021359 -0.6131152 -0.55040774 -0.40155916 -1.01779928 -0.54974368 -1.21292535 1.53480861 0.08897337 1.69503579], Predicted=1 X=[-0.77601514 0.61278301 -0.44783612 0.21858945 -0.53888572 0.27590734 1.37995295 0.27506958 -0.31967798 0.96528863 -0.66173945], Predicted=0 X=[-0.06493106 -0.67710097 0.2132802 2.30868438 0.01042052 -0.19453143 -0.12615174 1.99713113 0.54133365 -0.08628968 -1.39315246], Predicted=0 X=[-3.01959090e-01 -4.78657278e-01 -2.82557040e-01 -3.53228973e-01 6.51277798e-01 -3.70945966e-01 3.68038862e-01 -8.71856852e-01 2.76406991e-01 1.34184656e-03 1.36996334e+00], Predicted=0 X=[-0.30195909 1.20811407 -0.11727796 -0.9250474 -0.4931102 0.2171025 -1.27926314 -1.02567206 2.6607469 -0.08628968 1.7763039 ], Predicted=1 X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=0 X=[-0.06493106 2.89488543 -0.36519658 -0.82645801 -0.2642326 -1.19421382 -1.44399334 -0.07603035 0.87249197 2.19213 -0.2553989 ], Predicted=0 X=[-0.65750113 0.8112267 -0.44783612 -0.76730438 -0.4931102 -1.01779928 -1.53812488 -1.78806047 -0.58460464 -0.17392121 1.85757201], Predicted=1 X=[ 1.23872307 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-0.0817699 -0.44783612 1.73686595 0.01042052 -1.72345743 -2.29117723 0.87695517 -0.12098299 -0.87497341 0.31347789], Predicted=0 X=[-0.77601514 -0.28021359 -0.1999175 -0.62927925 -0.7219878 -0.19453143 0.27390732 -1.29986438 -0.05475133 -1.57602562 1.20742712], Predicted=0 X=[ 0.527639 -1.27243203 0.54383836 -0.86589377 0.1935226 -0.6649702 -1.09100005 -0.27665888 -0.31967798 -0.34918426 -0.01159456], Predicted=0 X=[ 0.29061097 -0.28021359 -0.44783612 -1.02363678 -0.2642326 -0.25333627 -0.64387523 -0.76485497 -0.05475133 0.35186795 0.47601411], Predicted=0 X=[-0.06493106 -0.37943543 0.29591974 0.20873051 -0.12690604 1.39319943 1.16815698 0.58938761 0.077712 0.08897337 -0.90554379], Predicted=0 X=[-0.4204731 -1.07398834 -0.1999175 -0.96448315 -0.21845708 -0.07692173 -0.40854637 -1.03904729 -0.8495313 -0.26155273 -0.01159456], Predicted=0 X=[-0.4204731 0.01745194 0.37855928 0.27774308 -0.67621228 1.09917519 1.82707778 -0.83173115 -1.04822629 -0.61207884 2.10137634], Predicted=1 X=[-0.53898711 0.71200485 -0.44783612 -0.94476527 -0.40155916 -0.25333627 -0.59680945 -2.08565946 -0.45214131 -0.78734189 2.99532557], Predicted=1 X=[-1.01304317 -0.47865728 -1.52215014 0.65238274 0.10197156 3.86300298 1.61528181 0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=0 X=[ 0.88318104 0.31511748 1.28759423 1.38194417 0.74282884 0.86395581 1.23875564 1.62931216 0.21017533 0.35186795 -1.23061624], Predicted=0 X=[ 2.54237721 -0.57787912 1.28759423 0.79040787 0.10197156 0.9815655 1.33288718 1.56243598 0.8062603 -0.43681578 -0.2553989 ], Predicted=0 X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566 -0.92626985 -0.44384932 0.01148034 -1.40076257 -0.58047134], Predicted=0 X=[-1.96115527 0.91044854 -0.03463842 -1.02363678 -0.81353884 -1.31182351 -1.3498618 -1.27980153 1.20365029 -0.96260494 0.96362278], Predicted=0 X=[ 1.35723709 1.70422329 0.2132802 0.47492185 -0.90508988 0.86395581 0.29744021 -0.44384932 -0.78329963 -2.10181478 1.7763039 ], Predicted=0 X=[-2.19818329 -0.77632281 0.54383836 -0.88561164 -1.4086206 -0.90018958 -0.94980274 -1.44699197 1.20365029 0.527131 1.24806117], Predicted=1 X=[ 0.29061097 -0.67710097 0.29591974 -0.78702226 -0.90508988 -0.72377504 -0.90273697 -1.24636344 -0.25344632 -0.96260494 0.71981845], Predicted=0 X=[-0.18344508 -0.57787912 -0.94367336 -1.02363678 -0.35578364 -1.78226228 -0.33794771 -1.01898444 -0.58460464 -1.05023647 0.55728222], Predicted=0 X=[-1.25007119 -0.37943543 0.87439652 -0.57012562 -0.76776332 -1.78226228 -0.690941 -0.91198256 2.26335691 -0.52444731 0.96362278], Predicted=0 X=[-1.84264125 0.21589563 -1.10895244 -1.04335466 1.42946164 0.74634612 0.65043349 0.12459818 0.74002864 0.43949948 -1.47442057], Predicted=0 X=[-0.06493106 0.21589563 -0.03463842 1.26363691 -0.21845708 1.45200427 0.69749926 0.85689232 -0.58460464 0.61476253 -0.58047134], Predicted=0 X=[-1.48709922 0.16628471 -0.6131152 -1.04335466 -0.4931102 0.27590734 -0.8556712 -0.83173115 1.86596693 0.61476253 0.06967355], Predicted=0 X=[-0.65750113 -1.17321019 0.54383836 -0.94476527 -0.58466124 1.39319943 0.22684155 -0.87854447 1.66727194 0.35186795 0.71981845], Predicted=1 X=[ 1.94980715 -0.67710097 0.6264779 -0.4123826 -0.44733468 -0.6649702 -0.92626985 0.22491245 -0.05475133 0.35186795 -0.66173945], Predicted=0 X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715 -0.44733468 -1.07660412 -0.50267791 0.02762773 1.13741862 1.66634084 -0.33666701], Predicted=0 X=[-0.18344508 0.71200485 1.20495468 0.47492185 0.46817572 -0.01811689 0.67396638 0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=0 X=[-2.19818329 -0.0817699 0.54383836 -1.02363678 1.38368612 0.39351704 -0.33794771 -0.6645407 0.87249197 -0.17392121 -0.33666701], Predicted=0 X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534 0.05619604 0.39351704 -0.1967504 -0.40037981 -0.45214131 0.61476253 0.394746 ], Predicted=0 X=[-1.3685852 -0.28021359 -0.6131152 1.20448328 0.14774708 1.01096792 -0.43207925 0.9638942 -0.71706797 -0.34918426 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0.10197156 -0.72377504 -1.46752623 -1.24636344 -1.51184794 -0.26155273 1.20742712], Predicted=0 X=[-0.30195909 -0.57787912 0.04800112 1.02702239 0.1935226 1.39319943 0.03857846 0.41216574 0.21017533 -0.78734189 0.23220977], Predicted=0 X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=0 X=[-0.89452915 -0.87554465 0.29591974 -0.74758651 -0.21845708 -0.6649702 -0.92626985 -0.83507495 -0.05475133 0.08897337 0.31347789], Predicted=0 X=[ 0.527639 -1.07398834 0.2132802 0.35661459 -0.81353884 0.51112673 -0.64387523 -0.4371617 -0.31967798 -0.69971036 1.53249956], Predicted=1 X=[-0.18344508 -1.17321019 1.28759423 -0.78702226 0.01042052 1.27558973 1.14462409 0.39210289 2.85944189 2.80555068 -0.09286267], Predicted=0 X=[-0.4204731 -0.57787912 0.95703606 0.31717883 0.33084916 0.9815655 1.35642006 0.62616951 0.27640699 -0.08628968 -1.14934812], Predicted=0 X=[-0.06493106 3.58943834 -2.10062693 0.65238274 0.74282884 -0.5473605 0.08564423 1.06086466 1.20365029 -0.26155273 -1.31188435], Predicted=0 X=[ 0.40912499 -0.37943543 0.2132802 -0.86589377 -0.76776332 -0.84138474 -1.77345374 -1.09254824 -0.38590965 1.22818321 1.61376767], Predicted=1 X=[-0.18344508 -0.28021359 0.2132802 0.43548609 -0.40155916 1.62841881 1.59174892 0.50244858 -0.05475133 0.08897337 -0.74300757], Predicted=0 X=[ 0.29061097 1.90266698 -0.36519658 1.65799445 -0.99664092 -0.78257989 0.08564423 0.38541527 -0.45214131 -0.08628968 1.20742712], Predicted=0 X=[-0.30195909 3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443 -1.42046046 -1.22630059 -0.51837298 1.14055168 1.93884012], Predicted=0 X=[-0.53898711 0.31511748 1.61815239 0.47492185 0.51395124 0.04068796 1.94474221 0.80004757 -0.12098299 -0.43681578 -1.14934812], Predicted=0 X=[ 0.40912499 0.41433932 0.2132802 -0.86589377 -0.58466124 0.09949281 -0.57327657 -1.14604918 -0.58460464 1.92923542 1.45123145], Predicted=0 X=[ 1.71277913 -0.28021359 1.28759423 2.05235198 0.10197156 0.86395581 2.10947241 2.03056922 -1.04822629 0.26423642 -1.06808001], Predicted=0 X=[ 1.12020906 0.21589563 0.54383836 -0.90532952 -0.81353884 -0.72377504 -0.38501348 -0.87854447 -0.31967798 -0.87497341 0.31347789], Predicted=0 X=[-0.4204731 -0.57787912 -0.11727796 -0.82645801 -0.81353884 0.04068796 -1.09100005 -1.09254824 0.54133365 0.87765711 1.126159 ], Predicted=1 X=[ 1.23872307e+00 -1.80991745e-01 -3.46384190e-02 7.70689997e-01 -3.10008120e-01 2.21646728e+00 1.73294624e+00 9.60550391e-01 -1.71054293e+00 1.34184656e-03 -8.24275678e-01], Predicted=0 X=[-0.77601514 0.71200485 -1.10895244 2.30868438 1.06325748 -0.13572658 0.46217041 1.68950072 -0.25344632 0.08897337 -1.39315246], Predicted=0 X=[ 1.59426511 1.40655776 -0.36519658 -0.45181836 -0.7219878 -0.25333627 -0.90273697 -0.97885873 -1.24692128 -1.48839409 1.85757201], Predicted=0 X=[-1.25007119 -1.07398834 0.04800112 -0.90532952 -0.035355 3.56897874 0.74456503 -1.2296444 1.26988195 3.59423441 1.04489089], Predicted=1 X=[ 0.88318104 1.00967039 -1.10895244 -0.58984349 0.01042052 -1.54704289 -0.5262108 0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=0 X=[-0.30195909 -0.87554465 -0.69575474 -1.02363678 0.28507364 -0.07692173 1.00342678 -0.169657 0.74002864 -0.61207884 -0.90554379], Predicted=0 X=[-0.06493106 2.3987762 -0.11727796 1.34250842 -0.08113052 1.09917519 1.94474221 1.06086466 0.54133365 0.08897337 -0.74300757], Predicted=0 X=[-1.01304317 0.8112267 0.46119882 -0.62927925 -0.85931436 -0.90018958 -0.31441482 -1.01229682 1.26988195 -0.87497341 0.63855033], Predicted=0 X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156 4.09822236 0.95636101 -0.71469784 -0.98199462 0.87765711 0.63855033], Predicted=0 X=[-0.77601514 1.70422329 3.27094319 0.15943582 2.43652307 0.68754127 1.49761738 0.59941904 0.14394366 -0.52444731 -1.06808001], Predicted=0 X=[-0.77601514 0.31511748 -0.86103382 -0.60956137 0.28507364 -0.07692173 -0.59680945 0.08781628 -0.18721466 -0.08628968 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-0.9868119 ], Predicted=0 X=[ 0.527639 1.00967039 -0.86103382 0.02141068 0.1935226 -1.01779928 -0.8556712 -0.33015982 -0.58460464 0.527131 0.55728222], Predicted=0 X=[-0.65750113 0.21589563 0.04800112 -0.94476527 0.14774708 -1.25301866 -0.14968462 -0.00915417 0.74002864 0.00134185 -0.82427568], Predicted=0 X=[-1.01304317 -1.17321019 0.29591974 -0.96448315 -0.9508654 0.45232188 -0.50267791 -0.41041123 1.79973526 0.1766049 -0.66173945], Predicted=0 X=[ 0.17209696 -1.17321019 -0.11727796 0.37633246 -0.035355 0.15829765 -0.29088194 0.59273142 0.14394366 -1.31313104 -1.06808001], Predicted=0 X=[ 1.71277913 -0.57787912 0.37855928 1.65799445 0.37662468 -0.19453143 -0.29088194 2.06400731 0.21017533 0.08897337 -0.66173945], Predicted=0 X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=0 X=[-0.65750113 -0.18099175 -0.36519658 -0.82645801 -0.12690604 -0.01811689 0.86222946 -0.74479212 1.26988195 -0.52444731 0.88235467], Predicted=0 X=[ 0.40912499 0.71200485 -0.69575474 -0.15605021 -0.63043676 -0.72377504 -0.43207925 -0.22984555 -1.71054293 1.49107779 -0.17413078], Predicted=0 X=[-0.4204731 0.61278301 1.0396756 -1.06307253 -1.04241644 -1.72345743 -1.37339468 -1.7980919 -0.25344632 0.43949948 1.93884012], Predicted=1 X=[-1.13155718 0.41433932 -0.44783612 -0.3335111 -0.31000812 -0.07692173 -1.04393428 -1.46705482 0.21017533 0.70239405 2.10137634], Predicted=1 X=[ 0.527639 -0.77632281 0.29591974 -1.02363678 -0.40155916 0.74634612 -0.45561214 -0.67791594 0.87249197 0.00134185 0.31347789], Predicted=0 X=[-0.18344508 -0.18099175 -0.36519658 0.13971794 -0.44733468 -0.42975081 -0.90273697 0.43891621 -0.71706797 -1.13786799 -0.9868119 ], Predicted=0 X=[-0.06493106 2.3987762 -0.6131152 -0.13633233 -0.35578364 -0.48855566 -0.1967504 -1.34667771 -0.51837298 -1.92655172 2.02010823], Predicted=0 X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 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0.61476253 0.394746 ], Predicted=0 X=[ 3.49048932 1.40655776 1.20495468 0.68195955 -0.53888572 -1.78226228 -0.66740811 0.59273142 -2.10793291 -1.75128867 -0.41793512], Predicted=0 X=[-0.53898711 -0.47865728 -0.53047566 -0.84617589 -0.17268156 -0.01811689 -0.90273697 -1.03235968 -1.04822629 1.22818321 0.31347789], Predicted=0 X=[ 1.59426511 1.00967039 1.28759423 1.42137993 -0.17268156 1.33439458 0.65043349 1.51227885 -0.58460464 0.43949948 -0.90554379], Predicted=0 X=[-0.53898711 4.08554756 -2.01798739 0.23830733 -0.08113052 -0.07692173 0.13271 0.25835054 0.47510198 -0.96260494 -0.33666701], Predicted=0 X=[-1.25007119 -0.28021359 -0.6131152 1.32279054 0.23929812 0.51112673 0.22684155 1.06086466 0.67379698 -0.96260494 -0.9868119 ], Predicted=0 X=[ 0.527639 -1.07398834 0.2132802 0.35661459 -0.81353884 0.51112673 -0.64387523 -0.4371617 -0.31967798 -0.69971036 1.53249956], Predicted=1 X=[ 0.64615301 -0.77632281 0.13064066 -0.84617589 -0.35578364 -0.31214112 -0.5262108 0.29178862 1.99843026 2.45502457 -0.17413078], Predicted=0 X=[-0.53898711 1.20811407 -0.69575474 -0.43210048 -0.63043676 -1.19421382 -1.11453294 -1.38680341 0.47510198 0.26423642 2.10137634], Predicted=1 X=[-0.18344508 1.80344514 -1.0263129 -0.47153623 -0.53888572 -1.37062835 -1.1851316 -1.29317677 0.47510198 0.43949948 2.02010823], Predicted=1 X=[ 0.64615301 -0.67710097 -0.28255704 0.29746096 -0.31000812 -1.25301866 -0.47914502 0.05772201 -1.51184794 -1.31313104 -0.09286267], Predicted=0 X=[-0.89452915 0.31511748 0.29591974 0.39605034 -0.67621228 2.04005274 0.74456503 -0.2097827 1.53480861 -0.78734189 0.96362278], Predicted=1 X=[ 1.35723709 2.69644174 -1.35687106 0.35661459 -0.2642326 -1.31182351 -1.8440524 0.52585524 -0.6508363 -1.66365715 -0.82427568], Predicted=0 X=[-1.25007119 1.05928131 -0.69575474 -0.53068986 -0.67621228 0.15829765 -0.38501348 -0.91867018 0.077712 1.22818321 0.55728222], Predicted=0 X=[-0.4204731 0.51356116 0.37855928 -0.76730438 0.05619604 -0.31214112 0.22684155 -1.46705482 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0.00422106 -1.97546959 -0.08628968 -0.82427568], Predicted=0 X=[ 0.05358295 1.00967039 -0.11727796 0.41576822 -0.08113052 0.04068796 0.32097309 -0.27665888 1.26988195 -1.22549952 1.20742712], Predicted=0 X=[ 2.06832116 -0.0817699 1.0396756 -0.05746082 -0.63043676 -1.31182351 -2.29117723 -0.34353506 -1.97546959 -1.31313104 0.31347789], Predicted=0 X=[ 0.527639 -0.18099175 -0.11727796 -1.02363678 -0.21845708 -0.37094597 -1.04393428 -1.4202415 -0.78329963 -0.34918426 1.20742712], Predicted=0 X=[-1.13155718 2.20033252 -2.34854555 -0.74758651 0.37662468 0.04068796 0.17977578 0.25835054 1.60104027 0.08897337 -1.06808001], Predicted=0 X=[ 0.29061097 -0.67710097 -0.53047566 0.43548609 0.46817572 -0.5473605 -0.64387523 0.52585524 -1.5780796 0.26423642 -0.82427568], Predicted=0 X=[-0.65750113 -0.87554465 -0.36519658 -0.17576808 -0.17268156 0.51112673 1.19168986 -0.33015982 0.01148034 -0.17392121 -0.17413078], Predicted=0 X=[ 1.83129314 -0.9747665 0.70911744 -0.25463959 -0.44733468 -1.66465259 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0.53276906 1.2280551 -0.8495313 -0.69971036 -1.31188435], Predicted=0 X=[ 5.86076957 -0.47865728 0.37855928 0.92843301 -0.53888572 -1.19421382 -0.3614806 1.89681687 -1.71054293 0.527131 -0.66173945], Predicted=0 X=[ 2.54237721 -0.37943543 1.37023377 -1.02363678 0.10197156 -0.5473605 -0.73800677 -0.74479212 0.14394366 -1.31313104 1.53249956], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[ 0.29061097 -1.37165388 -0.03463842 -1.06307253 2.66540067 -0.90018958 -1.98524971 -1.1560806 0.01148034 1.31581474 0.80108656], Predicted=0 X=[-1.13155718 -0.18099175 -0.36519658 -0.19548596 0.01042052 -0.07692173 -0.5262108 -0.59766453 0.34263866 -0.69971036 0.71981845], Predicted=0 X=[ 0.88318104 1.65461237 0.87439652 1.59884082 -0.035355 1.92244304 1.73294624 1.52899789 1.93219859 -1.13786799 -0.41793512], Predicted=0 X=[-0.06493106 -0.0817699 1.28759423 -1.02363678 -0.08113052 -0.01811689 -0.29088194 -1.34667771 -0.38590965 -0.08628968 1.28869523], Predicted=0 X=[-0.77601514 -0.57787912 -0.53047566 -0.96448315 0.83437988 -0.90018958 -0.14968462 -0.07603035 0.21017533 -0.26155273 -1.06808001], Predicted=0 X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[-1.01304317 -0.37943543 -0.03463842 -0.76730438 -0.90508988 -0.25333627 -1.25573025 -1.29986438 -0.38590965 0.08897337 0.63855033], Predicted=0 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[ 1.59426511 -0.28021359 1.0396756 -0.52083092 0.1935226 -1.25301866 -0.8556712 0.40547812 0.60756531 0.79002558 -0.66173945], Predicted=0 X=[-0.30195909 -0.28021359 0.2132802 0.33689671 -0.035355 1.09917519 0.97989389 0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=0 X=[ 0.64615301 0.01745194 0.2132802 1.61855869 0.10197156 -0.01811689 0.53276906 0.9271123 -0.31967798 0.61476253 0.06967355], Predicted=0 X=[-0.06493106 -0.28021359 0.29591974 -0.64899712 -0.90508988 -0.37094597 -1.06746717 -1.2296444 -0.31967798 -0.34918426 1.36996334], Predicted=1 X=[-0.4204731 0.8112267 1.28759423 -0.68843288 -0.7219878 -1.13540897 -1.04393428 -1.27980153 -0.58460464 0.00134185 1.28869523], Predicted=0 X=[-0.89452915 -1.27243203 0.13064066 1.85517321 -0.17268156 1.15798004 0.46217041 0.80004757 0.34263866 -1.05023647 0.06967355], Predicted=0 X=[ 1.00169505 0.41433932 2.27926871 1.06645815 -0.21845708 1.80483335 1.16815698 1.30830651 -1.24692128 0.43949948 -0.9868119 ], Predicted=0 X=[ 0.527639 -1.32204295 -0.03463842 -1.04335466 -0.17268156 -1.25301866 -1.74992086 -1.306552 -0.58460464 -1.05023647 1.04489089], Predicted=0 X=[-0.4204731 0.11667379 0.70911744 0.82984363 -0.17268156 1.80483335 1.49761738 0.90704945 0.34263866 0.35186795 -0.82427568], Predicted=0 X=[ 0.527639 -0.57787912 0.54383836 1.64813551 -0.17268156 0.54052915 -0.20851684 1.93025495 1.13741862 -0.69971036 -1.14934812], Predicted=0 X=[-0.53898711 0.01745194 1.86607101 -0.9250474 5.04572771 0.80515096 -0.76153965 -0.16296938 -0.58460464 -1.05023647 -1.06808001], Predicted=0 X=[ 0.29061097 -0.9747665 -0.6131152 -1.0039189 -0.21845708 -0.90018958 -1.58519066 -0.47728741 -0.98199462 2.19213 -0.49920323], Predicted=0 X=[ 0.527639 0.61278301 -0.94367336 -0.98420103 -0.08113052 0.45232188 0.88576235 -0.39034838 -0.31967798 -0.26155273 -0.49920323], Predicted=0 X=[-1.72412724 -1.27243203 -0.11727796 -0.76730438 -0.40155916 -1.48823805 -2.05584837 -1.75462238 -0.98199462 0.79002558 1.69503579], Predicted=1 X=[ 0.05358295 0.71200485 1.78343147 1.09603496 -0.35578364 -0.78257989 -0.64387523 0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=0 X=[-1.25007119 0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081 -1.04393428 -1.66099574 0.40887032 0.26423642 2.58898502], Predicted=1 X=[ 0.05358295 -0.37943543 0.2132802 2.84106705 -0.67621228 0.27590734 0.01504558 1.16117892 0.077712 -1.40076257 0.394746 ], Predicted=1 X=[-1.25007119 -0.37943543 -0.6131152 0.7213953 -0.31000812 1.62841881 0.55630195 -0.09274939 0.93872363 0.08897337 0.55728222], Predicted=1 X=[-0.06493106 -0.37943543 0.13064066 0.00169281 0.10197156 0.51112673 0.79163081 0.12459818 0.67379698 0.527131 -0.01159456], Predicted=0 X=[-0.06493106 -0.47865728 1.20495468 -0.96448315 -0.44733468 -0.01811689 0.62690061 -0.80498067 -0.05475133 -0.34918426 0.63855033], Predicted=0 X=[-0.30195909 -0.67710097 1.37023377 0.45520397 -0.44733468 0.33471219 1.23875564 -0.36359791 -1.51184794 0.61476253 0.394746 ], Predicted=0 X=[ 2.30534919 -0.47865728 3.35358273 -0.62927925 -0.17268156 -1.19421382 -0.29088194 -0.2097827 -1.11445795 0.1766049 0.55728222], Predicted=0 X=[ 2.4238632 0.61278301 0.04800112 -0.94476527 0.46817572 -1.31182351 0.88576235 0.19147436 -0.31967798 -0.17392121 -0.66173945], Predicted=0 X=[-0.4204731 -0.47865728 -0.69575474 2.15094136 0.01042052 -1.19421382 -0.66740811 1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=0 X=[ 1.00169505 1.10889223 1.28759423 0.2580252 -0.44733468 -1.4294332 -0.66740811 0.86023613 0.93872363 2.36739305 -0.41793512], Predicted=0 X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504 -0.64387523 0.00756487 1.07118696 1.31581474 -0.2553989 ], Predicted=0 X=[-0.30195909 -1.47087572 -0.36519658 1.48053356 0.46817572 -0.13572658 -1.0204014 1.0006761 -0.12098299 -0.87497341 -0.90554379], Predicted=0 X=[-1.25007119 0.11667379 -1.52215014 -1.04335466 -0.76776332 -1.37062835 -1.30279603 -1.41355388 0.74002864 -0.78734189 0.71981845], Predicted=0 X=[-0.30195909 -0.47865728 -1.10895244 0.98758664 -0.08113052 0.56993158 -0.17321751 0.67298283 -1.51184794 0.1766049 -0.66173945], Predicted=0 X=[-1.01304317 -0.57787912 -0.69575474 0.92843301 0.46817572 4.50985629 0.90929523 0.69304568 -0.71706797 -1.13786799 -0.90554379], Predicted=0 X=[ 1.00169505 0.61278301 -0.53047566 0.47492185 0.78860436 0.2171025 1.07402544 0.96055039 -0.6508363 1.22818321 -1.06808001], Predicted=0 X=[ 1.94980715 -1.07398834 1.28759423 0.47492185 0.10197156 -0.72377504 -0.71447388 0.22491245 -2.04170125 -1.31313104 -0.01159456], Predicted=0 X=[ 5.35829483e-02 6.12783009e-01 -2.82557040e-01 -3.33511097e-01 -7.67763319e-01 -7.69217335e-02 2.26841548e-01 -7.94949248e-01 1.13741862e+00 1.34184656e-03 1.45123145e+00], Predicted=1 X=[-0.18344508 -0.37943543 1.0396756 -0.82645801 -0.58466124 -0.95899443 -0.64387523 -1.19620631 -0.58460464 1.14055168 1.126159 ], Predicted=0 X=[ 2.18683518 -0.37943543 0.13064066 -1.14194404 -0.17268156 -1.4294332 -1.58519066 -0.47728741 -0.71706797 -0.96260494 0.06967355], Predicted=0 X=[-0.77601514 -0.77632281 1.28759423 -0.94476527 0.8801554 -1.07660412 0.10917712 -0.10946844 0.21017533 0.26423642 -1.06808001], Predicted=0 X=[-2.07966928e+00 -6.77100966e-01 -4.47836120e-01 -9.84201026e-01 5.61960394e-02 7.46346116e-01 2.26841548e-01 -7.84917822e-01 2.06466192e+00 1.34184656e-03 -9.28626721e-02], Predicted=0 X=[-0.30195909 0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=0 X=[ 1.23872307e+00 2.15895632e-01 2.19662917e+00 -8.95470581e-01 1.01971559e-01 -1.31182351e+00 -7.61539654e-01 -2.39876981e-01 3.42638656e-01 1.34184656e-03 1.08552495e+00], Predicted=0 X=[ 0.40912499 -0.28021359 0.46119882 2.47628633 -0.35578364 0.39351704 0.39157175 1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=0 X=[ 0.29061097 0.01745194 -0.6131152 -0.88561164 0.14774708 -1.37062835 -1.23219737 -0.2097827 -0.25344632 -0.96260494 -0.90554379], Predicted=0 X=[ 1.12020906 0.01745194 0.04800112 -0.94476527 -0.81353884 -0.19453143 -0.47914502 -1.31323962 -1.24692128 -0.96260494 1.28869523], Predicted=0 X=[-0.53898711 0.01745194 -0.36519658 -0.94476527 0.28507364 -0.07692173 -0.26734905 -0.37697314 1.93219859 0.61476253 -0.01159456], Predicted=0 X=[ 0.29061097 -0.77632281 0.04800112 1.89460897 0.1935226 0.92276066 0.65043349 1.49555981 0.14394366 0.96528863 -1.06808001], Predicted=0 X=[-0.4204731 0.8112267 -0.1999175 1.41152099 0.33084916 -0.90018958 -0.59680945 0.4723543 0.077712 0.61476253 0.394746 ], Predicted=0 X=[-0.53898711 0.91044854 -1.10895244 -0.15605021 3.26048243 1.51080912 1.05049255 0.18813055 0.34263866 -0.52444731 -0.82427568], Predicted=0 X=[-1.48709922 -0.77632281 2.69246641 0.75097212 -0.12690604 2.51049151 0.86222946 0.15803627 -1.37938461 -0.52444731 -0.09286267], Predicted=0 X=[1.00169505 1.40655776 0.37855928 0.33689671 0.69705332 0.80515096 0.13271 0.86023613 1.40234528 0.79002558 0.394746 ], Predicted=0 X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=0 X=[-0.30195909 0.71200485 -1.19159198 0.81012575 0.6512778 -1.19421382 -1.32632891 0.61948189 -0.38590965 -0.96260494 -0.49920323], Predicted=0 X=[ 0.05358295 0.61278301 1.28759423 0.1791537 -0.035355 1.51080912 1.59174892 0.55929333 -0.6508363 -0.78734189 -1.23061624], Predicted=0 X=[-0.06493106 0.01745194 -1.35687106 1.48053356 0.05619604 0.80515096 0.55630195 1.42868363 0.14394366 0.1766049 -1.23061624], Predicted=0 X=[-0.89452915 0.01745194 -0.69575474 0.10028219 0.46817572 0.51112673 1.47408449 0.49241715 0.01148034 -0.78734189 -1.14934812], Predicted=0 X=[-0.4204731 0.41433932 -1.77006876 1.00730452 -0.58466124 -0.01811689 0.62690061 1.12774083 0.21017533 -1.48839409 -1.23061624], Predicted=0 X=[-0.06493106 -0.9747665 0.37855928 -0.98420103 -0.35578364 -0.01811689 -0.64387523 -0.74479212 0.87249197 0.87765711 0.55728222], Predicted=0 X=[ 0.05358295 -0.47865728 0.04800112 -0.72786863 -0.63043676 -0.6649702 -0.40854637 -1.27980153 -0.31967798 -0.96260494 1.53249956], Predicted=0 X=[-0.65750113 -0.0817699 0.29591974 0.29746096 0.05619604 1.33439458 1.80354489 0.46566668 0.01148034 -0.08628968 -0.82427568], Predicted=0 X=[ 2.18683518 -0.47865728 -0.11727796 1.38194417 -0.08113052 -0.01811689 0.72103215 1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=0 X=[-1.60561323 -1.27243203 -0.11727796 1.50025143 -0.67621228 -1.13540897 -0.92626985 0.11456676 0.47510198 -0.96260494 0.80108656], Predicted=1 X=[-1.13155718 0.91044854 -1.60478968 -0.01802507 -0.44733468 -0.07692173 1.09755832 0.12459818 -0.12098299 1.22818321 -0.58047134], Predicted=0 X=[-1.25007119 -0.28021359 -0.77839428 1.3622263 -0.08113052 0.33471219 -0.0320202 1.06086466 1.0049553 -0.61207884 -0.82427568], Predicted=0 X=[-0.53898711 0.21589563 -0.03463842 -0.23492171 0.1935226 -0.31214112 -0.0320202 -0.33015982 0.47510198 0.79002558 0.47601411], Predicted=0 X=[ 1.59426511 0.91044854 -0.53047566 -0.9250474 -0.81353884 -1.48823805 -1.86758528 -0.57760167 -1.44561627 -0.08628968 -0.09286267], Predicted=0 X=[ 0.64615301 0.41433932 1.78343147 2.01291623 0.46817572 1.04037035 2.34480127 2.56557863 -1.51184794 0.79002558 -1.47442057], Predicted=0 X=[ 1.59426511 0.91044854 2.52718733 1.48053356 -0.12690604 -0.78257989 0.76809792 1.57246741 -1.31315295 2.71791915 -0.9868119 ], Predicted=0 X=[-1.72412724 1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597 -0.1967504 -1.50383672 1.33611362 2.45502457 2.34518068], Predicted=1 X=[ 0.17209696 -0.77632281 0.04800112 -0.13633233 -0.4931102 -0.19453143 -1.30279603 -0.41041123 0.01148034 -0.26155273 0.80108656], Predicted=0 X=[ 0.29061097 0.01745194 0.13064066 -0.57012562 -0.81353884 -0.01811689 -1.11453294 -1.27311391 -1.51184794 -1.40076257 1.28869523], Predicted=0 X=[ 0.05358295 -0.67710097 -0.77839428 -0.90532952 -1.13396748 -1.07660412 -1.37339468 -1.37342818 -0.25344632 -0.26155273 1.45123145], Predicted=1 X=[-0.89452915 -1.71893033 -0.1999175 -1.0039189 -0.40155916 1.15798004 0.15624289 -0.94542065 1.46857694 -0.69971036 0.47601411], Predicted=0 X=[-0.53898711 -0.57787912 -0.1999175 1.48053356 -0.2642326 1.27558973 -0.07908597 0.90036183 0.14394366 -0.96260494 0.15094166], Predicted=0 X=[ 1.12020906 0.21589563 0.29591974 -1.0039189 0.23929812 -1.13540897 -0.99686851 0.02428392 0.87249197 1.14055168 -0.41793512], Predicted=0 X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=0 X=[ 0.05358295 1.20811407 0.79175698 -0.03774295 0.8801554 0.39351704 0.93282812 0.49910477 -0.51837298 0.35186795 -0.90554379], Predicted=0 X=[-0.18344508 1.10889223 -0.1999175 -0.72786863 0.37662468 -0.48855566 1.49761738 0.25835054 1.79973526 0.70239405 -0.01159456], Predicted=0 X=[-1.25007119 -1.07398834 0.04800112 -0.90532952 -0.035355 3.56897874 0.74456503 -1.2296444 1.26988195 3.59423441 1.04489089], Predicted=1 X=[-0.4204731 0.71200485 0.2132802 -1.10250829 -0.53888572 -0.19453143 -0.64387523 -1.54061862 -0.51837298 0.08897337 1.28869523], Predicted=0 X=[-0.30195909 -0.28021359 -0.03463842 0.41576822 -0.17268156 -0.37094597 0.06211135 0.47904192 0.60756531 0.96528863 -0.09286267], Predicted=0 X=[ 1.71277913 -1.37165388 -0.6131152 -0.96448315 0.14774708 1.21678489 1.19168986 0.19147436 0.14394366 1.14055168 -0.82427568], Predicted=0 X=[-1.96115527 0.61278301 0.29591974 -0.03774295 -0.67621228 0.39351704 -0.12615174 -1.09254824 0.40887032 -0.69971036 1.61376767], Predicted=0 X=[-0.18344508 0.31511748 0.04800112 0.08056431 0.60550228 0.92276066 1.80354489 0.45229145 0.93872363 0.61476253 -0.17413078], Predicted=0 X=[ 1.4757511 -0.37943543 -0.11727796 0.81012575 -0.7219878 -0.07692173 -0.78507254 0.01425249 -0.51837298 -0.61207884 1.04489089], Predicted=1 X=[ 0.17209696 -0.37943543 -0.77839428 -0.90532952 0.05619604 -0.37094597 -1.11453294 -0.50738169 0.74002864 -0.52444731 -0.49920323], Predicted=0 X=[ 7.64667024e-01 1.30733592e+00 -8.61033822e-01 1.65799445e+00 3.76624679e-01 -4.29750812e-01 8.38696578e-01 1.65606263e+00 -5.47513286e-02 1.34184656e-03 -6.61739454e-01], Predicted=0 X=[-0.30195909 -0.9747665 -0.6131152 2.15094136 0.23929812 -1.07660412 0.25037443 1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=0 X=[ 1.23872307 0.01745194 -0.11727796 -0.55040774 -0.35578364 -1.54704289 -1.46752623 -0.67791594 -0.91576296 -1.57602562 0.96362278], Predicted=0 X=[-1.13155718 -0.18099175 -0.69575474 1.20448328 -0.53888572 0.15829765 0.32097309 1.2280551 0.93872363 -0.52444731 -0.90554379], Predicted=0 X=[-1.83445077e-01 -1.80991745e-01 4.61198823e-01 1.69280668e-03 5.73236051e+00 1.68722366e+00 1.45055161e+00 5.32542860e-01 1.14803354e-02 -9.62604939e-01 -9.05543789e-01], Predicted=0 X=[-0.18344508 0.01745194 -1.60478968 -0.98420103 -0.12690604 1.68722366 0.48570329 -0.67791594 -0.12098299 -0.87497341 -0.41793512], Predicted=0 X=[ 0.17209696 1.70422329 0.04800112 2.64388828 -0.2642326 -1.37062835 -1.6793222 1.19461701 -0.78329963 -0.96260494 0.394746 ], Predicted=0 X=[-0.53898711 -0.0817699 0.95703606 0.37633246 0.1935226 0.9815655 1.35642006 0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=0 X=[-2.19818329 0.11667379 1.70079193 -0.13633233 -0.4931102 1.09917519 0.39157175 -1.42692912 0.54133365 -1.31313104 1.93884012], Predicted=1 X=[ 1.71277913 -0.9747665 -0.28255704 -1.04335466 -0.58466124 -0.90018958 -1.91465106 -0.98220254 -1.11445795 0.1766049 0.394746 ], Predicted=0 X=[-1.48709922 -0.87554465 -0.6131152 -0.98420103 -0.7219878 -1.37062835 -1.46752623 -1.17948726 0.40887032 -1.05023647 0.31347789], Predicted=0 X=[ 0.88318104 -0.77632281 0.46119882 -0.74758651 -0.08113052 -0.31214112 0.97989389 0.02428392 1.79973526 -0.43681578 0.23220977], Predicted=0 X=[-1.96115527e+00 -3.79435433e-01 9.57036064e-01 -5.10971987e-01 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01 2.39582024e+00 1.34184656e-03 5.57282222e-01], Predicted=0 X=[ 0.17209696 -0.57787912 -0.6131152 0.55379335 -0.85931436 0.09949281 -0.38501348 -0.58428929 -0.8495313 -1.31313104 1.61376767], Predicted=1 X=[-0.06493106 0.91044854 1.45287331 1.06645815 -0.08113052 1.56961397 0.57983483 1.19461701 0.01148034 -0.43681578 -1.39315246], Predicted=0 X=[-0.77601514 0.71200485 -2.43118509 -1.02363678 0.6512778 -0.72377504 -0.71447388 -0.2097827 0.47510198 0.43949948 -1.06808001], Predicted=0 X=[-0.77601514 0.8112267 0.95703606 0.79040787 0.6512778 -0.78257989 1.07402544 1.03077038 0.8062603 0.61476253 -0.58047134], Predicted=0 X=[-0.89452915 -1.17321019 0.29591974 -1.04335466 -0.67621228 0.09949281 -0.97333563 -0.61103976 1.40234528 0.79002558 -0.01159456], Predicted=0 X=[-1.48709922 -0.87554465 1.0396756 -1.04335466 -0.63043676 -0.13572658 -0.54974368 -1.04573491 1.13741862 0.08897337 -0.09286267], Predicted=0 X=[ 0.527639 -0.57787912 1.37023377 1.4410978 0.14774708 1.21678489 1.19168986 1.7965026 0.34263866 1.49107779 -1.23061624], Predicted=0 X=[ 0.64615301 0.41433932 -0.53047566 1.28335479 -0.2642326 1.45200427 1.94474221 1.43202744 -0.91576296 1.49107779 -0.90554379], Predicted=0 X=[-1.13155718 3.39099465 -0.44783612 -0.57012562 -0.31000812 1.15798004 0.32097309 -1.11261109 1.66727194 -0.43681578 1.20742712], Predicted=0 X=[-0.89452915 -1.07398834 -1.0263129 -0.88561164 2.02454339 0.51112673 -0.1967504 -0.49400645 -0.78329963 -0.69971036 -0.66173945], Predicted=0 X=[ 1.35723709 0.11667379 -0.36519658 1.34250842 0.01042052 -0.5473605 -0.59680945 1.42868363 0.40887032 -1.05023647 -0.66173945], Predicted=0 X=[-0.4204731 0.21589563 -0.44783612 0.99744558 -0.21845708 -0.37094597 -0.690941 0.05103439 -1.37938461 -1.66365715 0.31347789], Predicted=0 X=[ 0.88318104 0.31511748 -0.53047566 -0.11661445 -0.44733468 -0.72377504 -0.690941 -0.01249798 1.0049553 0.43949948 0.394746 ], Predicted=0 X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=0 X=[-0.06493106 -0.18099175 1.0396756 0.37633246 -0.40155916 0.80515096 0.81516369 0.6629514 -0.12098299 -0.17392121 -0.9868119 ], Predicted=0 X=[-2.07966928 0.21589563 -0.28255704 -0.80674014 0.10197156 0.27590734 0.27390732 -1.533931 0.67379698 -0.26155273 1.36996334], Predicted=0 X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=0 X=[-0.4204731 -0.37943543 0.2132802 -0.82645801 -0.85931436 0.04068796 -0.10261885 -1.41355388 0.60756531 -1.13786799 1.61376767], Predicted=1 X=[ 0.64615301 0.01745194 0.54383836 1.08617602 -0.63043676 -1.31182351 -1.09100005 0.75657805 -1.18068962 -0.26155273 0.23220977], Predicted=0 X=[ 1.4757511 -0.77632281 1.28759423 1.06645815 0.10197156 0.62873642 1.73294624 0.9271123 -0.6508363 -0.26155273 -0.41793512], Predicted=0 X=[ 1.4757511 -0.77632281 1.28759423 0.33689671 0.23929812 0.92276066 1.56821604 0.45897907 -0.58460464 0.26423642 0.394746 ], Predicted=0 X=[ 0.40912499 -0.37943543 0.04800112 -1.04335466 -0.035355 -1.89987197 -1.74992086 -0.91198256 0.27640699 0.1766049 0.71981845], Predicted=0 X=[-0.53898711 -1.07398834 -0.53047566 0.69181849 0.05619604 -0.5473605 -0.87920408 0.64623236 1.0049553 0.08897337 -0.49920323], Predicted=0 X=[ 1.59426511 0.11667379 -0.03463842 0.53407548 -0.44733468 -0.42975081 -0.47914502 0.42554098 -1.51184794 -0.78734189 0.31347789], Predicted=0 X=[ 2.77940524 -0.87554465 0.70911744 -0.86589377 0.05619604 -1.13540897 -0.80860543 0.38207146 -0.6508363 1.49107779 -0.41793512], Predicted=0 X=[ 0.76466702 1.40655776 -1.19159198 0.10028219 -0.21845708 1.56961397 0.27390732 0.35197718 0.27640699 -1.05023647 -0.41793512], Predicted=0 X=[-0.77601514 1.70422329 -0.6131152 -0.39266473 0.78860436 1.62841881 1.59174892 -0.00915417 0.54133365 0.26423642 -0.58047134], Predicted=0 X=[ 0.88318104 -1.27243203 0.13064066 -0.4123826 0.23929812 -0.72377504 -0.94980274 0.06440962 -0.58460464 -0.43681578 -0.82427568], Predicted=0 X=[-0.18344508 0.01745194 -0.44783612 -0.37294685 0.23929812 -1.25301866 -1.09100005 -0.59766453 1.13741862 0.79002558 1.126159 ], Predicted=0 X=[-0.53898711 0.91044854 -1.77006876 -0.09689658 0.46817572 -1.72345743 -1.11453294 0.44560383 -0.8495313 -0.26155273 -1.71822491], Predicted=0 X=[ 0.527639 0.41433932 1.20495468 1.3622263 0.6512778 1.27558973 1.35642006 1.39524554 -0.98199462 0.08897337 -1.06808001], Predicted=0 X=[ 0.64615301 -0.47865728 0.37855928 0.43548609 0.28507364 0.33471219 0.27390732 0.43891621 -0.8495313 -0.26155273 -0.17413078], Predicted=0 X=[ 0.527639 -0.37943543 0.46119882 2.27910756 0.51395124 0.56993158 0.25037443 1.96369304 0.14394366 -1.13786799 -1.55568868], Predicted=0 X=[-0.89452915 0.01745194 -0.94367336 -0.90532952 -0.53888572 -0.19453143 -0.5262108 -1.41355388 1.13741862 -0.43681578 1.69503579], Predicted=1 X=[-0.30195909 1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382 -1.25573025 -1.34667771 0.60756531 0.1766049 2.34518068], Predicted=1 X=[ 0.64615301 1.60500145 -1.10895244 1.00730452 0.14774708 0.51112673 0.43863752 1.32836936 0.54133365 -0.43681578 -1.23061624], Predicted=0 X=[-0.4204731 0.41433932 -0.86103382 0.41576822 0.23929812 -0.90018958 -0.00848731 0.09116009 -1.04822629 -0.61207884 0.15094166], Predicted=0 X=[ 1.35723709 -0.47865728 1.0396756 -0.96448315 -0.7219878 -0.31214112 -0.31441482 -1.11261109 0.27640699 -0.17392121 1.61376767], Predicted=1 X=[ 0.76466702 -0.0817699 -0.1999175 2.22981287 0.23929812 -0.13572658 0.81516369 1.66275025 -0.6508363 1.31581474 -0.2553989 ], Predicted=0 X=[ 1.23872307 0.11667379 0.2132802 0.92843301 -0.58466124 0.45232188 1.63881469 0.96055039 -0.31967798 -0.26155273 -0.17413078], Predicted=0 X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=0 X=[ 0.88318104 0.41433932 2.03135009 2.04249304 0.1935226 0.45232188 0.57983483 1.96369304 -0.25344632 0.43949948 -1.06808001], Predicted=0 X=[-0.65750113 0.41433932 -0.6131152 1.1058939 0.14774708 1.62841881 0.74456503 0.69304568 -0.31967798 0.527131 -0.49920323], Predicted=0 X=[ 2.18683518 -0.37943543 0.13064066 -1.14194404 -0.17268156 -1.4294332 -1.58519066 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-0.1967504 0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=0 X=[ 1.59426511 -0.9747665 -0.1999175 1.06645815 -0.31000812 3.56897874 2.60366301 1.19461701 -0.78329963 0.26423642 -0.82427568], Predicted=0 X=[ 0.29061097 1.60500145 2.36190825 1.06645815 -0.08113052 0.9815655 0.32097309 1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=0 X=[-0.65750113 -0.57787912 0.04800112 -0.27435747 -0.63043676 0.04068796 -1.06746717 -1.306552 0.54133365 -1.13786799 2.42644879], Predicted=1 X=[ 1.23872307 -0.57787912 1.28759423 -0.51097199 -0.17268156 -0.5473605 -0.78507254 -0.34353506 -0.58460464 -0.87497341 -0.01159456], Predicted=0 X=[-0.53898711 -0.18099175 -1.0263129 0.35661459 0.1935226 0.92276066 1.02695966 0.46566668 0.27640699 -0.08628968 -0.82427568], Predicted=0 X=[-0.30195909 0.51356116 0.6264779 -0.86589377 -0.85931436 -1.25301866 -1.39692757 -1.13601775 0.54133365 1.22818321 1.53249956], Predicted=0 X=[ 0.29061097 -0.0817699 -0.77839428 1.22420116 -0.08113052 0.74634612 -0.47914502 1.08092751 -0.98199462 0.61476253 -0.41793512], Predicted=0 X=[-0.65750113 1.20811407 -0.77839428 -0.25463959 -0.44733468 0.45232188 -0.17321751 -0.72472926 0.34263866 -0.43681578 0.63855033], Predicted=0 X=[ 0.40912499 -0.87554465 -0.1999175 -0.94476527 0.74282884 -0.25333627 0.81516369 -0.7782302 1.07118696 -0.43681578 0.96362278], Predicted=0 X=[-1.13155718 -0.28021359 -1.19159198 1.18476541 0.05619604 0.86395581 0.55630195 1.09430274 1.07118696 -0.96260494 -0.82427568], Predicted=0 X=[-1.3685852 -0.37943543 1.12231514 -0.01802507 1.06325748 -0.01811689 1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.6211054 ], Predicted=0 X=[-0.53898711 1.95227791 -2.26590601 -1.06307253 -0.7219878 -1.54704289 -0.17321751 -1.21292535 -1.44561627 -1.75128867 0.23220977], Predicted=0 X=[-0.89452915 1.80344514 -0.11727796 -0.03774295 0.33084916 -1.48823805 -1.04393428 0.44894764 1.07118696 -0.17392121 -0.33666701], Predicted=0 X=[-1.96115527 2.20033252 -1.27423152 -0.86589377 -0.44733468 -0.72377504 -0.22028328 -1.51721196 1.13741862 2.45502457 2.34518068], Predicted=1 X=[ 1.00169505 1.10889223 -0.28255704 -0.23492171 -0.40155916 -0.37094597 -0.17321751 0.09116009 1.26988195 -0.43681578 0.394746 ], Predicted=0 X=[-0.53898711 -1.27243203 -0.1999175 -1.04335466 -0.08113052 -0.60616535 -0.99686851 -0.27665888 2.32958858 0.1766049 -0.17413078], Predicted=0 X=[ 0.88318104 -0.18099175 1.12231514 -0.94476527 1.01748196 -1.78226228 -1.96171683 0.12459818 -0.58460464 -0.34918426 -0.74300757], Predicted=0 X=[ 0.527639 0.61278301 -0.28255704 -1.0039189 0.51395124 -0.60616535 0.81516369 0.25835054 0.47510198 0.1766049 -1.14934812], Predicted=0 X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.2642326 -0.07692173 0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=0 X=[-0.18344508 -0.57787912 0.46119882 0.75097212 -0.35578364 1.45200427 0.25037443 1.0775837 -0.12098299 0.43949948 -0.41793512], Predicted=0 X=[ 1.35723709 2.89488543 0.46119882 -0.49125411 -0.53888572 -0.78257989 -0.38501348 -0.7782302 0.67379698 1.57870931 1.85757201], Predicted=0 X=[ 0.527639 0.01745194 0.70911744 -1.02363678 -0.58466124 -0.37094597 0.08564423 -0.66119689 -0.12098299 -0.52444731 0.15094166], Predicted=0 X=[-0.4204731 1.00967039 0.04800112 -0.58984349 -0.44733468 -0.07692173 1.45055161 -0.10946844 -0.31967798 2.36739305 -0.41793512], Predicted=0 X=[-0.18344508 -0.67710097 1.20495468 1.65799445 0.1935226 -0.25333627 1.33288718 1.80319022 -1.5780796 2.27976152 -1.39315246], Predicted=0 X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=0 X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315 0.37662468 -0.6649702 -0.78507254 -0.83173115 -0.12098299 -0.08628968 0.47601411], Predicted=0 X=[ 0.40912499 0.51356116 -0.44783612 -0.98420103 -0.53888572 -0.5473605 -0.690941 -0.52410073 0.60756531 0.70239405 0.06967355], Predicted=0 X=[-1.01304317 -0.57787912 -0.86103382 -0.27435747 -0.035355 -1.48823805 -0.38501348 -0.4739436 -1.64431127 1.22818321 -0.41793512], Predicted=0 X=[-1.01304317 -0.18099175 -0.6131152 -0.82645801 -0.4931102 -1.48823805 -1.56165777 -1.52557148 -0.51837298 -0.08628968 1.32932928], Predicted=0 X=[-0.4204731 0.41433932 0.95703606 0.2580252 -1.08819196 -0.25333627 -0.97333563 -0.89860732 0.077712 1.84160389 1.7763039 ], Predicted=1 X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=0 X=[ 0.527639 -0.57787912 -0.1999175 -0.80674014 -1.27129404 0.56993158 -1.37339468 -1.56068147 -0.8495313 -1.31313104 1.93884012], Predicted=1 X=[ 0.527639 -0.87554465 1.28759423 1.80587852 0.55972676 0.86395581 -0.10261885 1.93025495 1.53480861 -1.13786799 -1.14934812], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 -0.96448315 0.33084916 -0.5473605 -0.76153965 -0.79160544 -0.05475133 -0.17392121 0.47601411], Predicted=0 X=[-1.25007119 2.74605266 -0.6131152 -0.37294685 0.33084916 -1.07660412 -0.29088194 0.09116009 0.34263866 -0.26155273 -1.14934812], Predicted=0 X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[-0.89452915 -0.57787912 0.54383836 -0.89547058 -0.67621228 -0.60616535 -0.64387523 -1.46036721 -1.04822629 -1.66365715 1.04489089], Predicted=0 X=[-0.30195909 0.11667379 0.46119882 0.07070538 -0.67621228 -0.78257989 -0.94980274 -0.91198256 -0.25344632 2.71791915 1.93884012], Predicted=1 X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=0 X=[-1.25007119 -0.28021359 -0.44783612 0.92843301 0.46817572 0.56993158 0.86222946 1.17789797 1.53480861 -0.52444731 -0.82427568], Predicted=0 X=[-1.84264125 0.31511748 0.37855928 0.81012575 -0.67621228 1.04037035 0.03857846 -0.27331507 1.0049553 -0.26155273 0.96362278], Predicted=1 X=[ 0.40912499 -0.18099175 -0.6131152 1.24391904 -0.44733468 0.80515096 1.78001201 1.52899789 1.46857694 0.08897337 -0.41793512], Predicted=0 X=[-0.89452915 -0.47865728 -0.53047566 0.67210061 0.4224002 2.27527212 -0.10261885 0.43891621 -0.18721466 -0.78734189 -0.2553989 ], Predicted=0 X=[ 0.527639 -0.47865728 0.29591974 -0.90532952 -0.63043676 1.45200427 0.41510463 -0.67791594 -0.51837298 -1.22549952 0.47601411], Predicted=0 X=[ 2.18683518 2.10111067 1.94871055 2.24953075 0.28507364 -0.07692173 2.4624657 2.23119775 -1.37938461 2.8931822 -1.23061624], Predicted=0 X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103 0.46817572 -1.31182351 -0.0320202 -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=0 X=[-1.01304317 0.01745194 1.28759423 0.08056431 0.10197156 1.51080912 1.96827509 0.42554098 0.01148034 -0.17392121 -0.9868119 ], Predicted=0 X=[ 0.64615301 -0.18099175 -0.1999175 0.23830733 0.05619604 0.9815655 0.90929523 0.72648377 -0.38590965 -0.34918426 -1.31188435], Predicted=0 X=[ 0.29061097 1.60500145 -0.53047566 0.39605034 0.51395124 1.45200427 0.50923618 -0.48731884 -0.18721466 -1.13786799 1.04489089], Predicted=0 X=[-0.06493106 0.01745194 0.87439652 1.00730452 -0.2642326 1.33439458 1.99180798 0.96055039 0.21017533 0.61476253 -0.82427568], Predicted=0 X=[-0.77601514 0.01745194 -0.03463842 -0.9250474 -0.76776332 -0.6649702 -0.64387523 -1.34667771 0.34263866 0.08897337 1.28869523], Predicted=0 X=[-0.89452915 0.21589563 -0.28255704 -0.84617589 -0.67621228 0.86395581 0.57983483 -1.51386815 1.33611362 -0.52444731 1.7763039 ], Predicted=1 X=[ 2.4238632 0.41433932 1.28759423 -0.94476527 0.1935226 -1.07660412 -0.17321751 0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=0 X=[-1.48709922 0.51356116 -0.44783612 -1.02363678 -0.67621228 -0.13572658 -0.97333563 -0.92535779 1.99843026 0.79002558 0.31347789], Predicted=0 X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449 -0.76776332 0.45232188 -0.76153965 -0.97217112 -1.71054293 -0.52444731 0.80108656], Predicted=0 X=[ 0.40912499 -1.61970849 -0.28255704 0.08056431 0.46817572 -0.5473605 -0.78507254 0.45897907 1.66727194 -0.78734189 -0.74300757], Predicted=0 X=[ 0.29061097 -0.67710097 3.18830365 -0.94476527 5.54925843 1.7460285 -0.43207925 -0.26328364 -1.44561627 0.1766049 -1.06808001], Predicted=0 X=[ 0.29061097 0.8112267 1.86607101 -1.0039189 0.01042052 -0.60616535 -0.8556712 -0.57760167 0.34263866 -1.40076257 -0.01159456], Predicted=0 X=[ 0.40912499 1.10889223 2.44454779 0.90871513 -0.08113052 1.15798004 0.41510463 1.12774083 -0.6508363 -0.43681578 -1.47442057], Predicted=0 X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=0 X=[-1.25007119 -0.0817699 0.54383836 -1.02363678 1.38368612 0.68754127 -0.1967504 -0.72807307 -0.38590965 -0.34918426 -0.17413078], Predicted=0 X=[-0.30195909 -0.0817699 -0.11727796 -1.0039189 -0.08113052 -1.01779928 -1.06746717 -1.19955012 -0.51837298 0.61476253 1.4105974 ], Predicted=0 X=[-0.77601514 -0.42904636 0.04800112 -0.88561164 -0.44733468 -1.84106713 -0.50267791 -1.23967582 1.40234528 -0.43681578 1.36996334], Predicted=0 X=[-0.18344508 -0.37943543 0.6264779 0.59322911 -0.2642326 0.80515096 0.65043349 0.45897907 -0.45214131 1.05292016 -0.49920323], Predicted=0 X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897 0.1935226 -0.72377504 -0.94980274 0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=0 X=[-0.30195909 0.61278301 -0.53047566 -0.03774295 0.60550228 -0.72377504 -0.05555308 0.55929333 0.74002864 0.00134185 -0.33666701], Predicted=0 X=[-0.77601514 0.31511748 -0.86103382 -0.60956137 0.28507364 -0.07692173 -0.59680945 0.08781628 -0.18721466 -0.08628968 -1.71822491], Predicted=0 X=[ 0.05358295 0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605 -0.33794771 0.08447248 -0.05475133 0.08897337 -0.9868119 ], Predicted=0 X=[ 1.35723709 -0.0817699 -0.03463842 -1.02363678 0.1935226 0.33471219 -0.83213831 -1.33999009 -1.24692128 -0.34918426 1.53249956], Predicted=0 X=[ 0.40912499 -0.9747665 -0.1999175 -1.04335466 -0.035355 -0.90018958 -1.53812488 -0.5107255 0.87249197 -0.78734189 0.23220977], Predicted=0 X=[-0.30195909 1.45616868 -0.69575474 -0.7968812 -0.53888572 -0.72377504 -1.20866448 -1.07248538 -0.91576296 -0.69971036 0.71981845], Predicted=0 X=[-1.01304317 -0.67710097 -0.77839428 1.12561178 0.1935226 1.15798004 0.60336772 0.99398848 1.0049553 -0.87497341 -0.90554379], Predicted=0 X=[ 0.05358295 -0.37943543 0.54383836 1.77630171 0.28507364 2.68690605 1.40348584 1.52899789 0.077712 1.75397237 -0.90554379], Predicted=0 X=[-0.30195909 -0.57787912 0.13064066 -0.98420103 0.1935226 -0.72377504 -1.30279603 -1.28314534 -0.12098299 -0.08628968 1.20742712], Predicted=0 X=[-0.77601514 -0.0817699 1.28759423 -0.98420103 0.1935226 -0.90018958 -1.514592 -0.31009697 0.87249197 -0.43681578 -0.58047134], Predicted=0 X=[ 2.4238632 0.41433932 1.28759423 -0.94476527 0.1935226 -1.07660412 -0.17321751 0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=0 X=[ 0.76466702 1.20811407 5.50221078 2.58473465 -0.21845708 -0.13572658 0.22684155 1.2280551 0.34263866 -0.96260494 1.20742712], Predicted=0 X=[-1.60561323 -0.9747665 -0.94367336 -0.17576808 -0.40155916 -1.48823805 -1.23219737 -0.82504353 1.79973526 -0.43681578 1.36996334], Predicted=1 X=[-1.72412724 -0.23060267 -0.03463842 -1.02363678 0.23929812 -0.37094597 -0.38501348 -1.18617488 1.20365029 1.49107779 0.63855033], Predicted=0 X=[ 2.90610974e-01 4.14339320e-01 -2.82557040e-01 6.91818490e-01 -2.18457080e-01 1.62841881e+00 1.26228852e+00 8.00047567e-01 -4.52141313e-01 1.34184656e-03 -2.55398896e-01], Predicted=0 X=[-1.13155718 -0.67710097 -0.77839428 1.12561178 -0.08113052 1.04037035 0.62690061 0.96055039 0.40887032 -0.87497341 -0.82427568], Predicted=0 X=[-0.65750113 2.00188883 1.20495468 -0.90532952 -0.4931102 -0.01811689 -0.99686851 -0.94207684 1.99843026 2.19213 1.36996334], Predicted=0 X=[-0.06493106 -0.87554465 -0.03463842 -1.0039189 -0.67621228 -0.78257989 -1.20866448 -1.39014722 -0.71706797 1.14055168 1.45123145], Predicted=1 X=[ 0.64615301 0.51356116 -0.6131152 -0.74758651 -0.2642326 -0.37094597 -0.54974368 -0.91198256 -0.78329963 0.26423642 1.04489089], Predicted=0 X=[-0.18344508 1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535 -1.25573025 -1.05911015 -0.91576296 -1.31313104 0.96362278], Predicted=0 X=[ 2.18683518e+00 2.15895632e-01 4.80011213e-02 -3.13793220e-01 -1.27129404e+00 -7.23775044e-01 -2.67349053e-01 2.38287682e-01 -4.52141313e-01 1.34184656e-03 5.57282222e-01], Predicted=0 X=[-0.65750113 1.30733592 -0.03463842 -0.3335111 -1.04241644 -0.42975081 -0.66740811 -1.01229682 0.74002864 -0.96260494 1.61376767], Predicted=0 X=[-0.30195909 0.01745194 -2.01798739 0.88899726 0.23929812 0.09949281 -0.17321751 0.5459181 -1.71054293 1.14055168 -0.82427568], Predicted=0 X=[ 2.4238632 0.21589563 0.13064066 -0.35322897 -0.63043676 -0.19453143 0.22684155 0.18478674 -0.25344632 -0.34918426 0.80108656], Predicted=0 X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=0 X=[ 2.66089123 -0.0817699 -0.11727796 -1.04335466 -0.67621228 -1.19421382 0.29744021 -0.14290653 -1.04822629 -0.69971036 0.06967355], Predicted=0 X=[ 1.23872307 0.61278301 0.87439652 0.02141068 -0.85931436 0.68754127 -0.29088194 -0.93204541 -1.51184794 -1.05023647 1.61376767], Predicted=1 X=[-0.4204731 0.01745194 0.04800112 -0.35322897 0.37662468 -0.78257989 -0.1967504 -0.7013226 0.077712 -0.26155273 1.20742712], Predicted=0 X=[-0.89452915 -0.0817699 0.79175698 0.21858945 0.14774708 1.7460285 2.4624657 0.55929333 -0.45214131 -0.17392121 -1.23061624], Predicted=0 X=[ 0.29061097 0.31511748 -0.69575474 0.94815089 0.10197156 -0.19453143 -0.05555308 0.87026755 -0.31967798 -0.78734189 -0.82427568], Predicted=0 X=[-0.06493106 -0.28021359 -0.28255704 1.06645815 -0.12690604 1.04037035 -0.12615174 0.40547812 -1.04822629 0.79002558 -0.09286267], Predicted=0 X=[ 2.77940524 -0.0817699 0.04800112 0.81012575 -0.12690604 0.80515096 2.10947241 1.12774083 -0.98199462 -0.69971036 -0.09286267], Predicted=0 X=[ 1.71277913 0.8112267 1.94871055 1.6974302 0.28507364 -0.01811689 2.76839321 2.03056922 -1.71054293 1.31581474 -1.55568868], Predicted=0 X=[ 0.29061097 -0.57787912 3.35358273 -0.72786863 -0.08113052 0.39351704 0.13271 -1.01229682 0.8062603 -0.69971036 1.36996334], Predicted=0 X=[ 0.29061097 -0.18099175 -0.36519658 1.18476541 -0.08113052 1.56961397 2.39186704 0.96055039 -0.98199462 -0.61207884 -1.06808001], Predicted=0 X=[-0.06493106 0.01745194 0.87439652 0.57351123 -0.67621228 -0.01811689 -0.0320202 0.19147436 -0.18721466 -1.13786799 -0.09286267], Predicted=0 X=[-0.30195909 -0.87554465 -0.44783612 -1.04335466 -0.08113052 0.15829765 -0.90273697 -1.21292535 0.21017533 1.75397237 0.55728222], Predicted=1 X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=0 X=[ 0.29061097 0.01745194 -0.6131152 -0.70815075 -0.31000812 0.86395581 -0.47914502 -1.079173 -0.8495313 0.87765711 0.55728222], Predicted=0 X=[ 2.66089123 3.09332911 0.37855928 -0.94476527 0.92593092 -0.07692173 1.02695966 0.9271123 0.27640699 -0.96260494 -1.6369568 ], Predicted=0 X=[-0.06493106 -0.37943543 -0.36519658 0.61294698 -0.17268156 1.21678489 0.43863752 0.61279427 -0.51837298 0.1766049 -0.33666701], Predicted=0 X=[ 0.17209696 -1.27243203 0.37855928 -0.82645801 0.05619604 -0.13572658 -0.99686851 -0.41041123 -0.38590965 -0.87497341 -0.09286267], Predicted=0 X=[ 0.527639 -0.28021359 0.2132802 -0.84617589 -0.53888572 -0.31214112 0.90929523 -1.06245396 0.40887032 -0.78734189 1.126159 ], Predicted=0 X=[-0.53898711 0.51356116 0.87439652 0.49463972 0.4224002 0.9815655 0.60336772 0.28510101 -0.58460464 -0.08628968 -0.74300757], Predicted=0 X=[-0.65750113 -0.47865728 1.37023377 0.79040787 -0.12690604 1.51080912 -0.14968462 0.46566668 -2.17416458 -0.26155273 -1.14934812], Predicted=0 X=[ 0.29061097 0.11667379 -0.44783612 0.57351123 0.10197156 0.86395581 0.06211135 0.29178862 -0.38590965 0.00134185 -0.17413078], Predicted=0 X=[-0.30195909 -0.37943543 -0.53047566 0.77069 0.05619604 1.09917519 1.89767644 1.13442845 -0.98199462 -0.34918426 -1.39315246], Predicted=0 X=[-1.25007119 0.3647284 -0.53047566 -0.95462421 -0.90508988 -1.19421382 -1.60872354 -1.36674056 1.20365029 -0.78734189 1.126159 ], Predicted=0 X=[ 0.64615301 -0.0817699 1.53551285 1.83545534 0.37662468 0.04068796 0.01504558 1.28824366 -0.98199462 1.14055168 -0.39084575], Predicted=0 X=[ 0.88318104 -0.87554465 0.70911744 -0.96448315 -0.08113052 -1.72345743 -0.57327657 -0.87854447 -0.98199462 2.19213 1.85757201], Predicted=0 X=[ 1.71277913 -0.77632281 0.13064066 -1.08279041 0.1935226 -1.37062835 -1.514592 -0.67791594 -0.38590965 -0.96260494 -0.01159456], Predicted=0 X=[-0.77601514 0.21589563 -1.0263129 -1.04335466 -0.63043676 -0.25333627 -0.64387523 -1.71449668 -1.44561627 -0.61207884 1.36996334], Predicted=0 X=[ 1.23872307 -0.9747665 1.28759423 -0.23492171 0.23929812 0.04068796 0.43863752 0.42554098 -0.05475133 -0.08628968 0.06967355], Predicted=0 X=[-1.60561323 0.21589563 -0.69575474 -0.88561164 -0.76776332 -0.13572658 -0.47914502 -1.44030435 1.13741862 1.49107779 1.61376767], Predicted=1 X=[-0.30195909 -0.57787912 -0.36519658 1.57912294 0.01042052 0.2171025 -0.47914502 1.44205886 -0.91576296 0.08897337 -1.14934812], Predicted=0 X=[ 0.29061097 -1.27243203 0.04800112 -0.21520384 -0.53888572 -0.13572658 -0.80860543 0.42554098 1.20365029 0.26423642 -0.9868119 ], Predicted=0 X=[ 1.35723709 -0.77632281 0.87439652 -1.06307253 0.51395124 -0.6649702 -0.64387523 -0.81835591 -0.6508363 -1.48839409 0.55728222], Predicted=0 X=[-0.53898711 -0.47865728 -0.03463842 -1.03349572 -0.08113052 -1.16481139 1.86237711 -0.67791594 0.93872363 -0.43681578 0.394746 ], Predicted=0 X=[ 1.00169505 1.20811407 -0.53047566 -0.37294685 -0.53888572 -0.48855566 -1.0204014 -0.76151116 0.14394366 0.87765711 1.45123145], Predicted=0 X=[-2.07966928 1.10889223 -1.0263129 -0.9250474 -0.85931436 -1.19421382 -1.56165777 -1.54730624 2.06466192 -0.34918426 1.61376767], Predicted=1 X=[ 1.00169505 1.40655776 -0.1999175 0.55379335 0.10197156 -0.78257989 1.94474221 0.96055039 -0.8495313 1.05292016 -1.06808001], Predicted=0 X=[-1.01304317 0.8112267 -0.11727796 -1.04335466 0.33084916 -0.5473605 0.81516369 0.03765915 1.26988195 0.43949948 -1.39315246], Predicted=0 X=[-0.06493106 0.01745194 0.2132802 -0.94476527 -0.2642326 -0.60616535 -1.20866448 -0.54416359 0.27640699 1.49107779 -0.17413078], Predicted=0 X=[ 0.527639 -1.07398834 -0.77839428 0.33689671 3.44358451 -0.19453143 0.55630195 0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=0 X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866 -0.73800677 -0.18637604 0.34263866 -0.26155273 -0.09286267], Predicted=0 X=[ 1.71277913e+00 1.20811407e+00 6.26477903e-01 3.56614587e-01 1.93522599e-01 -1.19421382e+00 -3.85013482e-01 1.29493128e+00 1.33611362e+00 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[-1.01304317 1.70422329 0.70911744 -1.04335466 0.23929812 1.51080912 1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=0 X=[ 0.40912499 -1.27243203 -0.03463842 -1.04335466 -0.85931436 -1.13540897 -1.77345374 -0.10946844 1.20365029 -0.78734189 -0.49920323], Predicted=0 X=[ 0.17209696 -0.28021359 0.95703606 -0.80674014 -0.035355 0.27590734 -0.47914502 -1.13267394 -0.18721466 -0.08628968 1.126159 ], Predicted=0 X=[-0.18344508 0.01745194 -0.1999175 0.19887157 -0.21845708 -1.66465259 -1.3498618 -0.49735026 -0.98199462 -0.17392121 0.71981845], Predicted=0 X=[-0.89452915 -1.17321019 0.04800112 -0.05746082 -0.53888572 -0.25333627 -0.57327657 -0.12618748 0.87249197 0.79002558 -0.29603295], Predicted=0 X=[-1.25007119 -0.18099175 -0.28255704 -0.74758651 -0.53888572 2.33407697 -0.22028328 -1.27980153 0.077712 -0.96260494 0.80108656], Predicted=0 X=[ 1.00169505 -1.57009756 -0.11727796 -0.98420103 0.6512778 0.68754127 0.27390732 0.39210289 1.20365029 -0.61207884 -1.06808001], Predicted=0 X=[ 0.64615301 -0.28021359 1.28759423 -1.04335466 -0.17268156 -0.01811689 0.41510463 -0.7782302 -0.38590965 0.527131 0.63855033], Predicted=0 X=[-0.4204731 -0.77632281 0.13064066 -0.49125411 -0.2642326 -0.48855566 0.03857846 -1.00560921 -1.37938461 0.35186795 1.04489089], Predicted=0 X=[-0.65750113 -0.77632281 0.54383836 -0.96448315 -0.40155916 -0.01811689 -0.73800677 -0.7782302 1.79973526 0.08897337 0.71981845], Predicted=0 X=[ 0.40912499 -1.96698494 1.28759423 -1.0039189 0.1935226 -1.01779928 0.22684155 0.15803627 1.79973526 -0.43681578 -0.2553989 ], Predicted=0 X=[ 0.76466702 -0.77632281 0.6264779 -1.02363678 0.1935226 -0.5473605 -0.17321751 -0.90195113 0.01148034 0.26423642 0.47601411], Predicted=0 X=[-1.3685852 -0.37943543 -0.28255704 -1.0039189 -0.7219878 -0.60616535 -0.94980274 -1.45367959 1.20365029 -0.52444731 1.53249956], Predicted=1 X=[-0.06493106 -0.9747665 -0.44783612 0.45520397 0.05619604 0.9815655 2.43893281 0.39210289 0.21017533 0.35186795 -0.01159456], Predicted=0 X=[-2.07966928 -1.66931941 -0.11727796 -0.94476527 -0.81353884 -1.37062835 -1.13806583 -1.31992724 2.52828357 0.26423642 1.36996334], Predicted=1 X=[ 1.23872307 -0.9747665 0.2132802 -0.09689658 0.55972676 -0.25333627 -0.14968462 0.32522671 0.40887032 0.26423642 0.31347789], Predicted=0 X=[ 2.66089123 -0.0817699 0.95703606 0.82984363 -0.4931102 -0.42975081 -0.33794771 0.99398848 0.077712 -0.26155273 -0.09286267], Predicted=0 X=[-0.06493106 0.91044854 1.12231514 0.94815089 1.15480852 0.51112673 -0.05555308 0.9271123 -1.37938461 3.41897136 -1.06808001], Predicted=0 X=[ 1.00169505 -0.0817699 0.04800112 -0.90532952 -0.81353884 -0.5473605 0.69749926 -0.97885873 -1.31315295 -0.08628968 1.28869523], Predicted=0 X=[-0.53898711 0.01745194 0.87439652 0.13971794 0.10197156 0.80515096 0.95636101 0.41885336 -0.25344632 -0.08628968 -1.06808001], Predicted=0 X=[-0.30195909 0.41433932 -0.03463842 -0.76730438 0.28507364 0.27590734 1.68588046 -0.29003411 -0.25344632 0.96528863 -0.41793512], Predicted=0 X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658 0.05619604 -0.37094597 -0.87920408 -0.41709885 -0.25344632 -0.78734189 0.394746 ], Predicted=0 X=[-0.06493106 -0.28021359 -0.77839428 -0.94476527 -0.035355 0.2171025 0.60336772 -0.00246655 2.26335691 0.79002558 0.23220977], Predicted=0 X=[ 1.00169505 1.10889223 -0.44783612 -0.29407534 -0.4931102 0.04068796 -0.690941 -0.74479212 0.01148034 0.79002558 1.36996334], Predicted=1 X=[ 0.40912499 -0.87554465 -0.1999175 -0.01802507 -0.53888572 -1.07660412 -0.83213831 -0.32681601 -0.25344632 0.26423642 0.71981845], Predicted=0 X=[-1.01304317 -0.87554465 -0.36519658 -1.04335466 0.05619604 1.8636382 0.32097309 -0.81166829 2.32958858 0.87765711 0.47601411], Predicted=0 X=[-0.18344508 0.11667379 1.28759423 -0.3335111 -0.53888572 -0.01811689 0.41510463 0.15803627 -0.38590965 -0.34918426 -0.49920323], Predicted=0 X=[ 1.59426511 -0.37943543 1.28759423 0.57351123 -0.35578364 0.9815655 0.57983483 0.39210289 -1.11445795 -1.40076257 0.06967355], Predicted=0 X=[-2.19818329 1.60500145 -2.43118509 2.40727376 -0.31000812 0.15829765 -0.24381617 1.49555981 1.20365029 0.70239405 -0.2553989 ], Predicted=0 X=[-0.53898711 -0.18099175 -0.94367336 -0.25463959 -0.40155916 -0.72377504 -0.17321751 0.12459818 0.67379698 -1.48839409 -0.33666701], Predicted=0 X=[-0.65750113 0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143 0.03857846 -1.51386815 -0.12098299 -1.13786799 1.85757201], Predicted=1 X=[-0.06493106 -0.57787912 -0.1999175 0.10028219 -0.40155916 -0.13572658 -0.40854637 -0.75816735 -1.11445795 -0.87497341 1.126159 ], Predicted=0 X=[-1.01304317 0.51356116 -0.6131152 -0.25463959 0.23929812 -1.13540897 -0.45561214 0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=0 X=[-0.18344508 -1.47087572 -0.36519658 -0.21520384 0.23929812 -0.25333627 -0.38501348 0.12459818 1.66727194 -1.05023647 -0.66173945], Predicted=0 X=[ 0.17209696 -0.77632281 0.54383836 -1.04335466 0.55972676 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-0.12690604 0.39351704 0.43863752 0.17475531 1.07118696 -0.17392121 -0.01159456], Predicted=0 X=[-0.65750113 -0.77632281 2.03135009 -0.98420103 7.24295266 -1.19421382 -0.97333563 -0.31009697 -0.18721466 -0.52444731 -0.41793512], Predicted=0 X=[-0.65750113 0.51356116 -1.10895244 2.26924862 0.92593092 0.04068796 0.53276906 1.69618834 -0.31967798 0.1766049 -1.39315246], Predicted=0 X=[ 0.29061097 0.8112267 -1.10895244 -0.94476527 10.3099125 -0.6649702 0.03857846 -0.15628176 -0.51837298 1.22818321 -0.58047134], Predicted=0 X=[ 1.35723709 -1.47087572 -0.69575474 -1.04335466 -0.58466124 -1.19421382 -1.23219737 -1.19955012 -1.37938461 -0.87497341 0.55728222], Predicted=0 X=[-0.4204731 -0.28021359 0.95703606 0.27774308 0.10197156 0.9815655 1.16815698 0.57935618 0.077712 0.35186795 -1.14934812], Predicted=0 X=[-0.53898711 0.21589563 0.37855928 0.27774308 0.01042052 -0.01811689 1.26228852 0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=0 X=[ 1.12020906 -1.27243203 -0.77839428 0.2580252 0.05619604 -0.84138474 -0.94980274 0.3586648 -1.64431127 -1.57602562 -0.74300757], Predicted=0 X=[-0.30195909 -0.57787912 -0.44783612 1.11575284 0.55972676 -0.60616535 -0.31441482 1.51562266 1.7335036 -0.34918426 -0.90554379], Predicted=0 X=[ 1.00169505 -0.03215898 -0.28255704 -1.06307253 -0.31000812 -0.95899443 -1.49105911 -0.67791594 -1.18068962 0.61476253 0.15094166], Predicted=0 X=[ 2.30534919 0.01745194 0.95703606 -0.0771787 -1.08819196 -1.25301866 -2.10291414 -0.2097827 -1.18068962 -1.40076257 0.47601411], Predicted=0 X=[-0.53898711 -0.28021359 3.35358273 0.27774308 -0.035355 0.9815655 1.66234758 0.52585524 0.14394366 -0.61207884 -1.06808001], Predicted=0 X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=1 X=[-1.60561323 0.31511748 -0.36519658 -0.668715 -0.85931436 -1.13540897 -0.8556712 -1.12264251 0.27640699 0.61476253 0.55728222], Predicted=0 X=[-0.4204731 -0.47865728 0.46119882 -0.88561164 -0.44733468 0.33471219 -0.94980274 -1.34667771 0.01148034 -0.52444731 1.126159 ], Predicted=0 X=[-0.77601514 -0.57787912 -1.10895244 2.84106705 -0.4931102 1.33439458 1.07402544 2.07069493 -0.51837298 0.35186795 -1.23061624], Predicted=0 X=[-0.53898711 -0.77632281 -1.52215014 0.04112856 0.01042052 -0.5473605 -0.59680945 0.0175963 -1.31315295 0.79002558 -0.49920323], Predicted=0 X=[-0.30195909 -0.18099175 -0.77839428 0.15943582 -0.35578364 -0.42975081 -0.0320202 0.39210289 1.07118696 0.96528863 -0.09286267], Predicted=0 X=[-0.06493106 4.23438032 -0.69575474 -0.62927925 0.10197156 -1.48823805 -1.91465106 0.6596076 1.13741862 0.26423642 -0.82427568], Predicted=0 X=[ 1.23872307 1.60500145 -0.6131152 -0.38280579 -0.58466124 -0.72377504 -0.90273697 -0.95545207 -0.12098299 0.26423642 1.7763039 ], Predicted=1 X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=0 X=[ 0.88318104 0.31511748 1.53551285 1.34250842 -0.17268156 1.51080912 0.22684155 1.45877791 -1.37938461 -0.17392121 -1.14934812], Predicted=0 X=[ 1.35723709 1.20811407 -0.03463842 0.2580252 -0.53888572 -0.48855566 -0.94980274 -0.17634461 -0.05475133 -0.69971036 1.36996334], Predicted=0 X=[-1.48709922e+00 6.12783009e-01 -2.82557040e-01 1.00282190e-01 -3.55783640e-01 -7.23775044e-01 -1.16159871e+00 -4.57224556e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=0 X=[ 0.64615301 -0.37943543 -0.6131152 -0.94476527 0.55972676 1.04037035 0.27390732 -0.14290653 -0.05475133 0.08897337 -0.49920323], Predicted=0 X=[-0.30195909 -0.47865728 -1.10895244 0.98758664 -0.08113052 0.56993158 -0.17321751 0.67298283 -1.51184794 0.1766049 -0.66173945], Predicted=0 X=[ 1.35723709 0.91044854 -0.11727796 -0.94476527 -0.2642326 -0.19453143 0.65043349 -0.67791594 -1.24692128 0.527131 0.63855033], Predicted=0 X=[-2.90926737 0.41433932 0.46119882 -0.4123826 -0.7219878 -0.25333627 -0.26734905 -1.66768336 1.79973526 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0.54133365 0.08897337 -0.74300757], Predicted=0 X=[ 0.17209696 3.2917728 -0.6131152 -0.9250474 0.23929812 -0.60616535 0.53276906 0.19147436 1.13741862 0.96528863 0.06967355], Predicted=0 X=[-1.01304317 1.50577961 0.04800112 0.23830733 -0.035355 -0.60616535 -0.47914502 -0.60435214 -1.04822629 -1.05023647 0.394746 ], Predicted=0 X=[ 0.40912499 0.91044854 0.54383836 1.02702239 -0.63043676 -0.07692173 1.78001201 0.75992186 -0.58460464 0.1766049 -0.58047134], Predicted=0 X=[-0.4204731 -0.57787912 -1.19159198 -1.04335466 0.83437988 0.04068796 1.23875564 -0.35356648 -0.91576296 0.08897337 -0.82427568], Predicted=0 X=[ 1.12020906 0.01745194 -0.94367336 -0.98420103 0.46817572 -0.6649702 -0.1967504 0.12459818 0.60756531 -0.08628968 -0.82427568], Predicted=0 X=[ 0.17209696 0.71200485 -1.35687106 -1.04335466 0.14774708 -1.66465259 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=0 X=[ 1.35723709 -0.28021359 -0.6131152 1.50025143 -0.12690604 0.33471219 2.58013012 1.52899789 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1.50559123 -0.45214131 0.96528863 -0.9868119 ], Predicted=0 X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=0 X=[-0.06493106 0.21589563 -0.77839428 0.04112856 3.53513555 -0.01811689 -0.5262108 0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=0 X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.56806839 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=0 X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=0 X=[-0.53898711 -1.07398834 0.04800112 1.38194417 -0.08113052 0.56993158 0.01504558 1.16786654 -0.8495313 -0.52444731 -1.14934812], Predicted=0 X=[-0.65750113 0.61278301 -0.53047566 -0.76730438 -0.99664092 0.27590734 0.32097309 -1.02901587 1.07118696 0.96528863 1.126159 ], Predicted=0 X=[-1.13155718 0.41433932 -1.10895244 1.57912294 0.1935226 -0.37094597 0.13271 0.88029898 0.34263866 -0.69971036 -0.17413078], Predicted=0 X=[-0.18344508 -1.07398834 1.37023377 -0.84617589 -0.12690604 -0.48855566 -0.38501348 -0.57760167 -0.25344632 -0.34918426 -0.17413078], Predicted=0 X=[ 0.527639 5.32582061 -2.01798739 0.98758664 -0.08113052 0.56993158 1.54468315 1.03745799 -0.25344632 -0.26155273 -1.23061624], Predicted=0 X=[-1.48709922 -0.47865728 -0.69575474 0.31717883 -0.12690604 -0.25333627 -0.87920408 0.08781628 0.01148034 -0.61207884 -0.09286267], Predicted=0 X=[-0.53898711 -0.18099175 -0.6131152 -1.04335466 0.28507364 -0.78257989 0.88576235 -0.33015982 -0.6508363 0.43949948 -0.9868119 ], Predicted=0 X=[ 0.05358295 -0.77632281 0.2132802 -0.96448315 -0.67621228 0.15829765 0.20330866 -0.31009697 1.07118696 0.61476253 0.394746 ], Predicted=0 X=[ 0.527639 -0.57787912 1.28759423 0.59322911 -0.53888572 -0.37094597 -0.10261885 -0.04259226 -1.31315295 -1.48839409 0.394746 ], Predicted=0 X=[ 0.29061097 -0.28021359 -0.1999175 -0.80674014 0.1935226 -0.19453143 0.41510463 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1.28759423 0.94815089 0.55972676 1.92244304 1.80354489 0.84686089 0.01148034 0.96528863 -0.90554379], Predicted=0 X=[-0.53898711 -1.17321019 -0.69575474 -1.0039189 0.05619604 -0.90018958 -1.44399334 -0.24322079 2.79321022 0.43949948 -0.2553989 ], Predicted=0 X=[-0.18344508 2.20033252 0.37855928 0.21858945 0.01042052 -0.5473605 0.86222946 0.86692374 0.87249197 0.43949948 -0.74300757], Predicted=0 X=[ 0.88318104 0.01745194 0.46119882 -0.88561164 0.28507364 -0.72377504 -0.5262108 0.02428392 0.40887032 -0.78734189 -0.09286267], Predicted=0 X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=0 X=[ 0.05358295 -0.9747665 0.37855928 0.33689671 0.14774708 0.51112673 0.88576235 0.59273142 0.74002864 0.43949948 -0.58047134], Predicted=0 X=[-1.3685852 0.91044854 -0.28255704 -1.04335466 -0.76776332 -0.6649702 -1.1851316 -1.73790334 -0.05475133 -0.87497341 0.96362278], Predicted=0 X=[ 0.05358295 0.51356116 -0.1999175 -0.43210048 -0.2642326 -0.84138474 -1.06746717 -1.48043006 -0.05475133 -0.08628968 2.34518068], Predicted=1 X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=0 X=[ 1.71277913 0.51356116 0.79175698 0.55379335 0.01042052 -0.78257989 -0.29088194 1.39524554 1.26988195 -0.17392121 -0.9868119 ], Predicted=0 X=[ 2.30534919 -0.77632281 -0.44783612 -1.04335466 -1.27129404 -1.01779928 -1.56165777 -0.47728741 -1.44561627 -1.22549952 -0.09286267], Predicted=0 X=[-1.13155718 -0.28021359 -0.77839428 0.19887157 -0.08113052 -0.84138474 -0.59680945 0.19816198 1.26988195 0.79002558 -0.01159456], Predicted=0 X=[-0.4204731 0.51356116 -0.44783612 -0.05746082 -1.27129404 0.33471219 -0.83213831 -0.93873303 0.34263866 -1.48839409 1.36996334], Predicted=1 X=[-0.30195909 0.61278301 0.04800112 -0.74758651 0.23929812 0.30530977 1.68588046 -0.29672173 -0.25344632 1.05292016 -0.41793512], Predicted=0 X=[-1.60561323 0.3647284 0.37855928 -0.74758651 -0.58466124 -1.48823805 -1.63225643 -1.04573491 -0.45214131 0.87765711 0.23220977], Predicted=0 X=[-0.06493106 -0.9747665 -0.77839428 0.67210061 0.55972676 1.68722366 1.16815698 0.39210289 -0.38590965 0.1766049 0.06967355], Predicted=0 X=[-0.4204731 -0.57787912 3.18830365 0.08056431 -0.17268156 -0.13572658 0.69749926 0.59273142 -0.45214131 -1.13786799 -1.06808001], Predicted=0 X=[ 0.88318104 -0.18099175 2.03135009 0.29746096 -0.21845708 1.56961397 0.97989389 0.86023613 -0.78329963 -0.96260494 -1.23061624], Predicted=0 X=[-0.53898711 -0.37943543 -0.69575474 2.72275979 1.70411476 -0.01811689 0.43863752 1.91687972 -0.12098299 0.08897337 -1.14934812], Predicted=0 X=[-0.06493106 -0.47865728 0.54383836 -0.94476527 0.05619604 -1.78226228 -0.12615174 -0.34353506 0.27640699 1.84160389 0.71981845], Predicted=0 X=[ 0.76466702 0.51356116 -0.44783612 -0.29407534 -0.17268156 -0.84138474 0.39157175 -0.0593113 1.13741862 0.70239405 0.31347789], Predicted=0 X=[-1.25007119e+00 6.62393931e-01 -1.52215014e+00 8.69279380e-01 -5.84661239e-01 -5.47360505e-01 -4.32079253e-01 3.05163859e-01 4.08870320e-01 1.34184656e-03 -4.17935119e-01], Predicted=0 X=[ 2.54237721 -0.18099175 0.04800112 0.06084644 -0.76776332 -0.84138474 0.55630195 0.31519529 -0.71706797 0.08897337 0.06967355], Predicted=0 X=[ 0.05358295 0.21589563 -1.0263129 1.83545534 0.46817572 0.80515096 0.48570329 1.4186522 -0.51837298 -0.08628968 -1.23061624], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[-0.06493106 -0.28021359 0.37855928 0.33689671 0.01042052 -0.6649702 0.39157175 0.52585524 0.93872363 0.87765711 -0.2553989 ], Predicted=0 X=[ 0.40912499 0.61278301 0.87439652 -0.43210048 0.05619604 0.92276066 0.13271 -1.01229682 -1.18068962 2.36739305 1.45123145], Predicted=0 X=[-0.53898711 0.51356116 -0.1999175 -0.17576808 0.10197156 0.39351704 0.81516369 0.3586648 0.01148034 1.49107779 -0.9868119 ], Predicted=0 X=[-0.4204731 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.6649702 -1.39692757 -1.16945584 0.54133365 1.75397237 0.71981845], Predicted=0 X=[-0.18344508 -0.37943543 -0.11727796 0.5143576 -1.04241644 -0.90018958 -0.690941 -0.47059979 1.0049553 -1.22549952 1.69503579], Predicted=1 X=[ 0.05358295 -0.77632281 0.54383836 0.2580252 -0.63043676 0.92276066 0.88576235 -0.04259226 0.21017533 -1.92655172 0.71981845], Predicted=0 X=[-0.30195909 0.8112267 1.53551285 0.73125424 0.1935226 -0.37094597 0.03857846 0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=0 X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137 0.10197156 0.33471219 0.53276906 -0.49066264 -0.18721466 0.08897337 -0.01159456], Predicted=0 X=[-0.53898711 -0.57787912 -0.11727796 0.29746096 -0.76776332 -0.07692173 -0.33794771 0.25835054 1.40234528 -0.87497341 -0.2553989 ], Predicted=0 X=[ 1.12020906 -0.67710097 -0.53047566 -1.02363678 0.23929812 -0.90018958 -1.16159871 -0.14290653 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0.12000007 -0.99664092 -1.25301866 -0.1967504 -0.74479212 0.40887032 -0.34918426 1.61376767], Predicted=0 X=[ 0.05358295 -0.87554465 1.28759423 0.04112856 -0.44733468 0.80515096 0.79163081 -0.27665888 0.077712 -1.92655172 0.80108656], Predicted=0 X=[ 1.35723709 1.70422329 -0.44783612 0.86927938 0.23929812 -0.60616535 0.43863752 0.55929333 -0.8495313 -0.17392121 0.71981845], Predicted=0 X=[ 0.40912499 1.60500145 -0.44783612 -0.58984349 0.10197156 -0.78257989 -0.62034234 -0.71804165 0.14394366 -1.05023647 0.63855033], Predicted=0 X=[-2.19818329 -0.37943543 0.04800112 -1.04335466 -0.53888572 0.80515096 0.46217041 -2.1023785 0.87249197 -1.48839409 2.10137634], Predicted=1 X=[-0.53898711 0.01745194 0.95703606 0.43548609 0.51395124 0.68754127 1.99180798 0.84017327 -0.18721466 0.1766049 -1.14934812], Predicted=0 X=[ 1.35723709 -0.37943543 0.2132802 -0.96448315 0.05619604 -1.07660412 -0.22028328 0.25835054 0.077712 0.43949948 -0.41793512], Predicted=0 X=[-0.65750113 0.8112267 -1.10895244 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0.54383836 -1.02363678 -0.7219878 -0.95899443 -1.27926314 -1.59411956 0.01148034 4.12002357 2.02010823], Predicted=1 X=[-0.18344508 -0.47865728 -0.69575474 -0.94476527 -0.44733468 -0.42975081 0.10917712 -0.49066264 0.74002864 0.43949948 -0.17413078], Predicted=0 X=[ 0.17209696 0.61278301 -0.28255704 -0.90532952 -0.035355 0.51112673 0.08564423 -0.87854447 -1.31315295 -0.34918426 0.23220977], Predicted=0 X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=0 X=[ 0.76466702 0.11667379 0.2132802 1.83545534 0.1935226 -0.37094597 -0.33794771 0.9271123 -0.8495313 0.43949948 -0.09286267], Predicted=0 X=[-1.01304317 0.71200485 1.0396756 -1.08279041 -0.58466124 -1.54704289 -1.72638797 -1.56736909 0.34263866 -1.22549952 1.28869523], Predicted=0 X=[ 0.05358295 -0.18099175 0.37855928 0.81012575 -0.08113052 -0.13572658 0.01504558 0.38207146 -0.8495313 0.08897337 -0.17413078], Predicted=0 X=[ 0.527639 -0.0817699 0.46119882 0.06084644 0.83437988 -0.42975081 1.16815698 0.59273142 0.67379698 -1.66365715 -0.66173945], Predicted=0 X=[-0.06493106 -0.0817699 -0.94367336 0.33689671 -0.53888572 1.15798004 1.52115026 0.69304568 0.01148034 0.26423642 -1.31188435], Predicted=0 X=[-0.18344508 0.8112267 -0.44783612 0.37633246 -0.53888572 -0.37094597 -1.3498618 -0.84176257 -1.51184794 -0.87497341 1.61376767], Predicted=0 X=[-1.48709922 -0.72671189 -1.4395106 1.21434222 0.23929812 -0.25333627 -0.54974368 0.53923048 1.40234528 -0.96260494 0.23220977], Predicted=0 X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.31000812 -0.48855566 -0.94980274 -1.41355388 -0.6508363 -0.26155273 1.45123145], Predicted=0 X=[-0.30195909 -0.47865728 0.29591974 0.41576822 -0.44733468 0.62873642 0.34450598 0.57935618 0.077712 -0.08628968 -0.90554379], Predicted=0 X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=1 X=[-2.3166973 0.66239393 0.04800112 -1.06307253 1.01748196 -0.19453143 0.10917712 -0.88523209 0.34263866 -0.78734189 -0.33666701], Predicted=0 X=[ 0.527639 0.01745194 0.2132802 1.24391904 -0.2642326 0.15829765 0.03857846 1.32836936 0.74002864 2.63028763 -0.74300757], Predicted=0 X=[ 0.527639 -0.0817699 -0.28255704 -1.0039189 -0.2642326 -0.5473605 -1.27926314 -0.60435214 0.60756531 0.35186795 0.15094166], Predicted=0 X=[-0.4204731 -0.0817699 -1.19159198 0.04112856 -0.035355 3.68658844 0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=0 X=[-0.4204731 -0.67710097 0.70911744 -1.04335466 0.60550228 -0.13572658 -0.87920408 -0.44384932 -0.45214131 -0.96260494 -0.66173945], Predicted=0 X=[ 0.527639 -0.9747665 2.60982687 -0.98420103 0.01042052 -0.42975081 0.43863752 0.19147436 0.93872363 1.14055168 -0.90554379], Predicted=0 X=[-0.77601514 1.00967039 0.70911744 -0.76730438 -0.35578364 -0.07692173 -0.50267791 -0.90529494 1.13741862 0.87765711 0.88235467], Predicted=0 X=[-0.4204731 -0.9747665 -0.03463842 -0.98420103 -0.76776332 -0.01811689 -0.00848731 -0.9654835 1.13741862 0.96528863 0.80108656], Predicted=1 X=[-0.89452915 0.01745194 0.13064066 1.26363691 0.10197156 1.62841881 2.13300529 1.16117892 -0.71706797 -0.78734189 -1.31188435], Predicted=0 X=[ 2.66089123 0.01745194 1.28759423 -0.86589377 0.60550228 -1.48823805 -0.62034234 0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=0 X=[-1.96115527 -0.92515558 -0.94367336 -1.06307253 -0.7219878 0.68754127 -0.3614806 -0.61772738 2.39582024 -0.43681578 -0.29603295], Predicted=0 X=[-0.06493106 1.50577961 -0.28255704 -0.57012562 -0.58466124 -0.48855566 -0.07908597 -1.14604918 -1.24692128 -1.05023647 1.20742712], Predicted=0 X=[-1.25007119 0.61278301 -1.0263129 0.15943582 -0.21845708 0.74634612 0.17977578 0.12794199 -0.18721466 0.00134185 -0.58047134], Predicted=0 X=[ 0.40912499 -0.0817699 3.35358273 1.20448328 -0.40155916 0.68754127 0.41510463 1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=0 X=[ 0.05358295 1.70422329 -0.53047566 -0.3335111 -0.4931102 -1.07660412 -1.37339468 -1.15273679 -0.45214131 -1.13786799 1.61376767], Predicted=0 X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=0 X=[-1.72412724 1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597 -0.1967504 -1.50383672 1.33611362 2.45502457 2.34518068], Predicted=1 X=[ 0.17209696 -0.57787912 -0.03463842 -0.84617589 0.28507364 -1.19421382 -1.46752623 -0.34353506 0.077712 -0.69971036 0.06967355], Predicted=0 X=[-0.4204731 0.21589563 0.46119882 0.27774308 -0.35578364 1.51080912 1.89767644 0.62616951 0.01148034 0.08897337 -0.90554379], Predicted=0 X=[ 0.17209696 1.70422329 0.04800112 2.64388828 -0.2642326 -1.37062835 -1.6793222 1.19461701 -0.78329963 -0.96260494 0.394746 ], Predicted=0 X=[ 0.64615301 0.11667379 -0.44783612 0.75097212 -0.63043676 0.45232188 -0.00848731 0.3586648 -0.58460464 -0.17392121 0.06967355], Predicted=0 X=[-0.18344508 1.90266698 -0.36519658 -0.32365216 -0.53888572 -0.37094597 -0.10261885 -1.15942441 0.67379698 -0.26155273 2.02010823], Predicted=0 X=[-2.19818329 3.2917728 -1.77006876 -1.0039189 -1.68327372 1.7460285 -0.90273697 -2.216068 0.47510198 -1.05023647 2.42644879], Predicted=1 X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103 0.05619604 -0.31214112 -1.13806583 -0.79829306 0.54133365 0.43949948 0.55728222], Predicted=0 X=[ 1.35723709 0.21589563 1.28759423 0.59322911 0.01042052 0.68754127 1.16815698 0.79335995 -0.31967798 -0.08628968 -0.41793512], Predicted=0 X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=0 X=[ 0.05358295 -0.28021359 -0.03463842 -1.02363678 -0.4931102 -0.01811689 0.46217041 -1.07248538 -1.11445795 0.79002558 0.63855033], Predicted=0 X=[-0.53898711 0.11667379 -1.10895244 1.81573746 -0.2642326 -0.90018958 0.08564423 0.72648377 -0.58460464 0.43949948 0.06967355], Predicted=0 X=[-0.77601514 1.00967039 -1.27423152 0.19887157 2.25342099 -0.42975081 1.33288718 1.23808652 2.26335691 1.92923542 -1.06808001], Predicted=0 X=[-8.94529153e-01 -9.74766499e-01 3.78559282e-01 -8.06740136e-01 -5.84661239e-01 -4.29750812e-01 -6.43875225e-01 -1.47374244e+00 -1.87214657e-01 1.34184656e-03 1.53249956e+00], Predicted=1 X=[-0.65750113 -0.37943543 -0.94367336 1.08617602 0.1935226 1.7460285 0.95636101 0.85689232 -0.8495313 0.79002558 -0.9868119 ], Predicted=0 X=[ 1.12020906 0.41433932 -0.03463842 0.79040787 -0.67621228 0.68754127 1.30935429 0.96723801 -0.78329963 0.79002558 -0.74300757], Predicted=0 X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=0 X=[-0.30195909 -0.37943543 -0.53047566 -0.98420103 0.51395124 -0.13572658 0.32097309 -0.2097827 0.21017533 0.61476253 -0.82427568], Predicted=0 X=[-0.06493106 -1.37165388 0.13064066 -0.96448315 0.05619604 0.27590734 -0.50267791 -0.97551493 -0.78329963 2.01686694 0.47601411], Predicted=0 X=[-0.65750113 -0.9747665 -0.94367336 -0.15605021 0.05619604 0.56993158 0.20330866 -0.06599892 -0.6508363 0.43949948 -0.41793512], Predicted=0 X=[ 0.17209696 -0.37943543 -1.27423152 -1.0039189 0.01042052 -1.54704289 -1.79698663 -0.00915417 1.26988195 -0.17392121 -0.33666701], Predicted=0 X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=0 X=[-0.4204731 0.41433932 -1.77006876 1.00730452 -0.58466124 -0.01811689 0.62690061 1.12774083 0.21017533 -1.48839409 -1.23061624], Predicted=0 X=[ 0.17209696 2.49799805 0.79175698 -0.05746082 -0.76776332 -1.72345743 -1.46752623 -0.95210826 -0.71706797 0.08897337 1.61376767], Predicted=0 X=[ 0.88318104 -0.9747665 -0.44783612 0.13971794 -0.21845708 -0.37094597 -0.66740811 0.83348566 0.077712 -0.61207884 -1.06808001], Predicted=0 X=[ 0.05358295 -1.37165388 0.37855928 -1.06307253 -0.21845708 -0.78257989 -1.3498618 -1.20289393 -1.04822629 0.43949948 0.71981845], Predicted=0 X=[ 1.00169505 -0.9747665 0.13064066 -0.11661445 0.4224002 -0.60616535 0.13271 0.57935618 0.34263866 0.43949948 -0.2553989 ], Predicted=0 X=[-0.18344508 0.51356116 0.04800112 0.21858945 -0.44733468 0.2171025 -0.33794771 -0.93538922 -1.31315295 -1.48839409 1.53249956], Predicted=0 X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=0 X=[-0.18344508 -1.17321019 0.2132802 -0.86589377 -0.035355 -0.6649702 -0.17321751 -0.397036 0.74002864 0.87765711 -0.01159456], Predicted=0 X=[-0.89452915 0.01745194 -0.77839428 2.67346509 1.29213508 -0.19453143 0.83869658 1.73631404 0.01148034 -0.43681578 -0.9868119 ], Predicted=0 X=[-1.01304317 -0.37943543 -0.44783612 -0.48139517 -0.35578364 1.51080912 -0.10261885 -0.85848162 0.74002864 0.43949948 0.63855033], Predicted=0 X=[-0.06493106 -1.07398834 3.35358273 -0.78702226 0.33084916 1.51080912 1.02695966 0.42554098 2.92567355 2.36739305 -0.01159456], Predicted=0 X=[-1.01304317 0.41433932 -0.28255704 -0.88561164 -0.58466124 0.33471219 0.08564423 -1.64093288 0.67379698 -0.61207884 1.85757201], Predicted=1 X=[-0.65750113 -0.0817699 -0.69575474 -0.11661445 -0.35578364 0.9815655 0.39157175 0.32522671 0.60756531 -0.96260494 -0.90554379], Predicted=0 X=[ 0.76466702 0.01745194 0.46119882 0.75097212 -0.035355 1.39319943 1.66234758 1.06086466 -0.18721466 1.22818321 -0.74300757], Predicted=0 X=[ 0.527639 -0.47865728 0.6264779 1.61855869 0.10197156 2.21646728 1.99180798 1.53902932 -0.18721466 1.92923542 -0.90554379], Predicted=0 X=[ 0.05358295 0.91044854 -0.44783612 1.46081568 -0.67621228 -0.07692173 -0.0320202 0.25835054 -0.58460464 -1.05023647 0.88235467], Predicted=0 X=[-0.89452915 0.8112267 2.03135009 1.6974302 -0.08113052 0.39351704 -0.54974368 1.26149319 -0.25344632 0.1766049 -1.23061624], Predicted=0 X=[ 0.17209696 0.11667379 0.29591974 -0.94476527 -0.4931102 -0.07692173 -0.29088194 -1.15273679 0.47510198 -0.17392121 1.45123145], Predicted=0 X=[-0.53898711 1.40655776 3.35358273 1.26363691 1.38368612 0.74634612 1.66234758 1.26149319 -0.45214131 0.79002558 -1.23061624], Predicted=0 X=[-0.06493106 0.11667379 -0.94367336 -0.58984349 -0.4931102 0.27590734 -0.38501348 -1.26642629 -0.6508363 -0.17392121 1.45123145], Predicted=1 X=[-1.13155718 -1.57009756 -0.53047566 -0.31379322 -0.7219878 0.27590734 -0.66740811 -0.59097691 2.39582024 1.66634084 1.28869523], Predicted=1 X=[ 0.29061097 -0.18099175 -0.11727796 1.58898188 1.29213508 -0.37094597 -0.73800677 1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=0 X=[-0.30195909 -0.57787912 1.61815239 1.71714808 0.28507364 -0.78257989 -0.05555308 1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=0 X=[ 0.29061097 -0.67710097 0.54383836 -1.02363678 1.06325748 -0.6649702 0.41510463 -0.41041123 1.53480861 -0.52444731 0.06967355], Predicted=0 X=[ 0.527639 -0.18099175 1.28759423 -0.27435747 -0.81353884 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-0.12690604 0.9815655 -0.17321751 -0.80498067 -0.8495313 0.43949948 0.63855033], Predicted=0 X=[ 0.527639 2.29955436 -0.36519658 0.96786876 -0.53888572 1.51080912 2.01534087 0.93714373 -0.31967798 0.61476253 -0.82427568], Predicted=0 X=[-1.01304317 0.11667379 -0.53047566 -0.80674014 -0.08113052 -0.90018958 -0.50267791 -1.51386815 0.8062603 -0.69971036 1.7763039 ], Predicted=0 X=[ 0.17209696 0.31511748 0.13064066 -0.94476527 0.78860436 -1.31182351 -0.45561214 -0.73141688 0.21017533 0.08897337 0.15094166], Predicted=0 X=[ 1.83129314 2.99410727 -0.53047566 1.13547071 -0.58466124 0.09949281 -0.5262108 0.62616951 -1.31315295 -0.87497341 0.23220977], Predicted=0 X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=0 X=[ 1.94980715 -0.37943543 1.12231514 1.73686595 0.51395124 0.27590734 2.25066972 2.16432157 -1.11445795 1.49107779 -1.23061624], Predicted=0 X=[-0.06493106 -0.0817699 -0.6131152 1.91432684 0.14774708 1.15798004 1.35642006 1.46212172 -0.25344632 0.08897337 -0.9868119 ], Predicted=0 X=[ 0.40912499 1.20811407 -0.77839428 0.41576822 0.4224002 0.56993158 0.29744021 0.74654663 0.077712 0.26423642 -1.06808001], Predicted=0 X=[ 1.12020906 0.11667379 -0.36519658 -0.63913818 -0.08113052 0.33471219 -0.50267791 -0.83507495 0.34263866 -1.22549952 0.80108656], Predicted=0 X=[ 0.05358295 -0.47865728 0.54383836 0.21858945 -0.2642326 0.86395581 0.29744021 -0.44384932 -0.51837298 -1.92655172 0.71981845], Predicted=0 X=[-0.53898711 -0.9747665 -0.11727796 0.63266486 0.28507364 -0.6649702 -1.13806583 0.75992186 1.07118696 0.00134185 -0.90554379], Predicted=0 X=[-1.72412724 2.20033252 -1.68742922 -0.27435747 -0.81353884 -1.37062835 -0.73800677 -1.08251681 1.93219859 3.41897136 2.42644879], Predicted=1 X=[-0.06493106 -0.9747665 0.29591974 -0.96448315 -0.85931436 0.09949281 -1.06746717 -0.67791594 0.74002864 -0.34918426 0.23220977], Predicted=0 X=[-1.01304317 1.00967039 -0.6131152 -0.0771787 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-0.7219878 -0.95899443 -0.62034234 -0.61103976 2.4620519 -0.34918426 0.55728222], Predicted=0 X=[ 1.23872307 -1.17321019 -0.28255704 0.19887157 0.1935226 1.33439458 0.32097309 0.6997333 -0.45214131 -1.05023647 -0.82427568], Predicted=0 X=[ 1.35723709e+00 -2.80213589e-01 1.28759423e+00 5.14357600e-01 -8.11305203e-02 -2.53336273e-01 1.09755832e+00 1.32836936e+00 1.00495530e+00 1.34184656e-03 -4.17935119e-01], Predicted=0 X=[-0.53898711 -1.17321019 0.70911744 -1.06307253 -0.44733468 -0.37094597 -0.59680945 -1.079173 -0.05475133 0.26423642 0.394746 ], Predicted=0 X=[-0.18344508 3.39099465 -0.77839428 -1.04335466 -0.31000812 -1.72345743 -1.79698663 -0.2097827 1.46857694 -1.48839409 -0.09286267], Predicted=0 X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=0 X=[ 2.54237721 -0.18099175 0.04800112 0.06084644 -0.76776332 -0.84138474 0.55630195 0.31519529 -0.71706797 0.08897337 0.06967355], Predicted=0 X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=0 X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=0 X=[-0.30195909 0.51356116 -0.1999175 -1.0039189 -1.179743 -0.37094597 -1.16159871 -1.2296444 0.47510198 -0.43681578 1.53249956], Predicted=0 X=[-0.4204731 -0.77632281 -0.1999175 -0.84617589 -0.58466124 -0.19453143 -1.0204014 -1.53560291 -1.51184794 1.05292016 1.20742712], Predicted=1 X=[-0.06493106 0.31511748 -0.28255704 0.31717883 -0.81353884 -0.13572658 -0.38501348 -0.79829306 -0.38590965 1.22818321 1.69503579], Predicted=1 X=[ 0.17209696 -1.07398834 3.35358273 1.26363691 -0.035355 -0.6649702 -0.29088194 0.05772201 0.47510198 -0.96260494 1.36996334], Predicted=1 X=[ 0.76466702 -0.47865728 0.2132802 0.12000007 -0.44733468 0.45232188 0.53276906 -0.07603035 -0.98199462 -1.48839409 0.394746 ], Predicted=0 X=[-2.43521132 -0.67710097 -1.0263129 0.75097212 -0.40155916 -1.07660412 -0.62034234 -0.26328364 3.12436854 -0.08628968 1.36996334], Predicted=1 X=[-1.25007119 0.8112267 1.37023377 -1.06307253 3.71823763 1.62841881 0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=0 X=[ 1.94980715 0.01745194 0.04800112 1.46081568 -0.21845708 -0.19453143 0.53276906 1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=0 X=[ 0.05358295 0.41433932 -1.52215014 0.33689671 0.01042052 0.92276066 0.97989389 0.59273142 -0.38590965 -0.34918426 -1.31188435], Predicted=0 X=[ 0.17209696 -0.57787912 -0.77839428 0.90871513 -0.21845708 2.33407697 0.67396638 0.35197718 -1.37938461 0.61476253 -0.01159456], Predicted=0 X=[ 1.35723709 -0.57787912 -0.11727796 0.79040787 -0.12690604 1.62841881 1.47408449 0.99398848 -0.51837298 0.35186795 -0.82427568], Predicted=0 X=[-0.06493106 -1.66931941 -0.53047566 0.43548609 -0.08113052 0.56993158 -0.80860543 0.17141151 0.077712 -1.05023647 -0.49920323], Predicted=0 X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111 -0.67621228 -0.25333627 -1.09100005 -0.61103976 -1.18068962 -1.40076257 1.20742712], Predicted=0 X=[ 0.05358295 -0.37943543 0.29591974 -0.05746082 -0.85931436 0.15829765 -0.62034234 -1.05911015 0.01148034 -1.31313104 1.53249956], Predicted=1 X=[ 1.00169505 -0.28021359 -0.28255704 0.27774308 -0.35578364 1.8636382 1.35642006 0.5091362 -0.58460464 0.08897337 -0.33666701], Predicted=0 X=[ 0.17209696 2.00188883 -1.77006876 -0.37294685 0.1935226 -0.72377504 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=0 X=[-0.18344508 -0.67710097 0.29591974 -0.76730438 -0.53888572 -0.01811689 -1.16159871 -0.91198256 0.40887032 0.08897337 0.394746 ], Predicted=0 X=[ 0.527639 -0.77632281 0.46119882 -0.80674014 0.10197156 -0.6649702 -1.20866448 -1.19955012 -1.64431127 -1.22549952 1.20742712], Predicted=0 X=[ 0.05358295 0.41433932 -1.68742922 0.27774308 -0.17268156 -1.4294332 -0.50267791 0.6596076 0.27640699 -1.05023647 -1.06808001], Predicted=0 X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=0 X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=0 X=[-0.30195909 0.41433932 -0.94367336 2.0326341 0.01042052 0.15829765 -0.12615174 1.29493128 0.21017533 1.57870931 -0.09286267], Predicted=0 X=[ 0.05358295 1.20811407 1.86607101 0.94815089 -0.12690604 0.27590734 0.08564423 1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=0 X=[-0.4204731 -0.37943543 -1.19159198 -1.02363678 -0.21845708 -0.31214112 -0.64387523 -0.49735026 -1.31315295 -0.26155273 -0.90554379], Predicted=0 X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=0 X=[-1.84264125 0.31511748 0.37855928 0.81012575 -0.67621228 1.04037035 0.03857846 -0.27331507 1.0049553 -0.26155273 0.96362278], Predicted=1 X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=0 X=[ 0.40912499 0.31511748 0.6264779 0.43548609 0.33084916 -1.19421382 -1.16159871 1.19461701 0.67379698 1.31581474 -0.49920323], Predicted=0 X=[ 0.05358295 -1.07398834 -0.28255704 -0.86589377 0.05619604 -1.31182351 -0.50267791 -0.83841876 -0.18721466 0.1766049 0.88235467], Predicted=0 X=[-2.19818329 -0.0817699 -0.11727796 -0.37294685 -0.63043676 1.33439458 0.93282812 -1.4938053 1.7335036 -1.57602562 1.69503579], Predicted=1 X=[ 0.527639 0.41433932 0.04800112 0.04112856 -0.63043676 -0.6649702 -0.62034234 0.34194576 0.21017533 -0.26155273 -0.58047134], Predicted=0 X=[-1.72412724 0.31511748 1.12231514 -0.668715 0.33084916 0.62873642 0.13271 -0.31009697 0.67379698 2.36739305 -0.41793512], Predicted=0 X=[ 6.46153012e-01 -8.75544654e-01 7.09117443e-01 1.69280668e-03 9.71706437e-01 2.17102498e-01 1.73294624e+00 5.92731419e-01 7.40028640e-01 -1.40076257e+00 -7.43007566e-01], Predicted=0 X=[-0.77601514 -0.87554465 -0.36519658 -0.4123826 -0.035355 -0.13572658 -0.29088194 0.85354851 -0.05475133 -0.61207884 -0.9868119 ], Predicted=0 X=[-0.18344508 0.21589563 -0.36519658 -0.70815075 -0.9508654 0.09949281 -0.73800677 -0.8150121 0.8062603 1.22818321 0.63855033], Predicted=0 X=[ 1.71277913 -0.9747665 0.29591974 -1.02363678 0.14774708 -1.72345743 -1.04393428 -0.10946844 -0.05475133 0.26423642 -0.33666701], Predicted=0 X=[-0.53898711 0.61278301 -1.10895244 1.67771232 0.6512778 0.09949281 0.55630195 1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=0 X=[ 1.23872307 -1.17321019 3.35358273 2.25938968 -0.40155916 0.9815655 1.14462409 1.93025495 -1.31315295 -0.69971036 -0.9868119 ], Predicted=0 X=[-1.25007119 1.00967039 -0.6131152 -1.04335466 0.55972676 -0.90018958 0.03857846 -0.44050551 0.54133365 -0.52444731 -0.66173945], Predicted=0 X=[-0.53898711 0.01745194 -0.53047566 0.90871513 -0.17268156 0.56993158 0.22684155 1.28155604 -0.31967798 -0.26155273 -1.47442057], Predicted=0 X=[-1.25007119 0.11667379 -0.03463842 -0.53068986 -0.76776332 -0.31214112 -1.1851316 -1.36674056 0.40887032 -0.61207884 1.45123145], Predicted=1 X=[ 0.29061097 1.40655776 -1.10895244 -0.70815075 -0.35578364 -0.42975081 -0.690941 -1.45367959 0.27640699 -0.17392121 2.34518068], Predicted=1 X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836 0.37662468 -0.72377504 -0.5262108 -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=0 X=[ 0.29061097 0.01745194 0.87439652 -0.90532952 -0.63043676 -0.19453143 -0.73800677 -1.11261109 0.40887032 -0.08628968 1.36996334], Predicted=0 X=[ 0.05358295 -0.28021359 -0.53047566 0.52421654 -0.31000812 0.09949281 -0.24381617 -0.14290653 0.54133365 -1.31313104 0.63855033], Predicted=0 X=[ 2.06832116 0.91044854 3.02302457 1.13547071 -0.31000812 -0.84138474 0.46217041 1.42868363 -1.24692128 2.10449847 -0.9868119 ], Predicted=0 X=[ 0.76466702 -0.18099175 2.11398963 1.06645815 0.01042052 1.33439458 0.60336772 1.37518269 -0.12098299 -0.26155273 -1.31188435], Predicted=0 X=[ 2.4238632 -1.47087572 1.28759423 -1.06307253 -0.81353884 -1.72345743 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=0 X=[-3.01959090e-01 -3.79435433e-01 -2.82557040e-01 1.30307267e+00 2.85073639e-01 -1.01779928e+00 1.09177119e-01 1.41196458e+00 1.20365029e+00 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[ 0.88318104 0.71200485 1.12231514 1.3622263 -0.40155916 0.39351704 -0.5262108 1.40193316 -0.98199462 0.08897337 -1.06808001], Predicted=0 X=[-0.06493106 3.88710387 -0.28255704 1.30307267 11.17964737 -0.78257989 1.28582141 1.46212172 -0.71706797 1.57870931 -1.23061624], Predicted=0 X=[-0.30195909 -0.47865728 -0.77839428 -0.49125411 -0.035355 0.04068796 -0.00848731 -0.61103976 -0.25344632 1.31581474 0.63855033], Predicted=0 X=[-0.89452915 -0.0817699 -0.1999175 -0.96448315 -0.4931102 -1.07660412 -1.30279603 -1.09254824 0.87249197 -0.43681578 0.47601411], Predicted=0 X=[ 1.35723709 0.51356116 0.13064066 0.71153637 -0.4931102 -0.78257989 -0.71447388 0.18144293 -0.45214131 -1.13786799 0.88235467], Predicted=0 X=[ 0.17209696 -1.27243203 -0.28255704 1.3622263 0.14774708 0.62873642 -0.43207925 1.00736371 0.077712 -1.13786799 -0.82427568], Predicted=0 X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=0 X=[-0.30195909 -0.28021359 0.6264779 0.19887157 -0.12690604 -0.37094597 0.29744021 0.19147436 -0.25344632 0.96528863 -0.2553989 ], Predicted=0 X=[-1.48709922 -0.87554465 0.46119882 -1.04335466 -0.12690604 -1.07660412 -1.6793222 -0.74479212 0.27640699 0.35186795 -0.17413078], Predicted=0 X=[ 0.76466702 0.51356116 1.20495468 2.57487571 0.10197156 1.15798004 2.4624657 2.33151201 -1.5780796 -0.78734189 -1.39315246], Predicted=0 X=[-0.18344508 1.40655776 0.46119882 1.12561178 -0.2642326 1.51080912 2.58013012 1.30830651 0.8062603 0.79002558 -0.66173945], Predicted=0 X=[-1.25007119 -1.07398834 0.2132802 -1.0039189 -0.44733468 -1.4294332 -1.60872354 -0.67122832 1.60104027 1.66634084 -0.09286267], Predicted=0 X=[-0.89452915 -0.57787912 -0.1999175 -0.98420103 -0.31000812 0.27590734 -0.22028328 -0.7013226 1.7335036 0.87765711 0.31347789], Predicted=0 X=[ 2.77940524 0.71200485 0.46119882 -1.08279041 -0.17268156 -1.19421382 -1.82051951 -0.54416359 -1.51184794 -1.8389202 -0.09286267], Predicted=0 X=[-3.14629539 -0.62749004 -0.86103382 -0.25463959 -0.21845708 1.68722366 0.43863752 0.95386277 1.53480861 -0.43681578 -2.04329735], Predicted=0 X=[ 0.527639 -0.37943543 -0.28255704 -0.76730438 -0.17268156 -0.25333627 -0.80860543 -0.97885873 -0.91576296 0.61476253 0.63855033], Predicted=0 X=[-1.01304317 0.51356116 -0.6131152 -0.25463959 0.23929812 -1.13540897 -0.45561214 0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=0 X=[-0.4204731 -0.87554465 -0.6131152 -0.23492171 -0.2642326 -0.25333627 0.03857846 0.32522671 0.47510198 1.66634084 -0.82427568], Predicted=0 X=[ 1.35723709 -0.77632281 0.2132802 -1.02363678 -0.63043676 -0.84138474 -1.42046046 -0.64447785 -0.71706797 -1.05023647 -0.09286267], Predicted=0 X=[ 2.06832116 -0.13138082 0.2132802 -1.02363678 -0.53888572 -1.19421382 -1.37339468 -0.91198256 -1.5780796 -1.13786799 0.71981845], Predicted=0 X=[-0.65750113 -0.0817699 -1.27423152 0.2580252 0.10197156 0.56993158 1.12109121 0.72648377 0.27640699 -0.17392121 -1.23061624], Predicted=0 X=[-0.53898711 -1.76854125 0.13064066 -0.29407534 0.10197156 -0.25333627 -0.83213831 0.22491245 1.60104027 2.63028763 -0.66173945], Predicted=0 X=[ 1.00169505e+00 6.12783009e-01 2.03135009e+00 9.28433010e-01 -3.10008120e-01 3.34712191e-01 2.97440205e-01 1.26149319e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=0 X=[-0.06493106 -0.18099175 0.87439652 0.35661459 0.01042052 0.9815655 1.05049255 0.60610665 0.077712 0.1766049 -0.90554379], Predicted=0 X=[-1.13155718 0.61278301 -0.69575474 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0.37855928 -1.08279041 -0.40155916 -1.89987197 -1.49105911 -1.21292535 0.60756531 -1.31313104 0.71981845], Predicted=0 X=[-0.53898711 -1.57009756 -0.28255704 -1.04335466 -0.67621228 0.09949281 -1.04393428 -1.39349103 -1.18068962 0.61476253 0.96362278], Predicted=0 X=[-0.18344508 -0.37943543 -0.6131152 1.22420116 0.33084916 0.51112673 1.02695966 1.33505698 1.53480861 -0.61207884 -0.66173945], Predicted=0 X=[-0.65750113 -0.0817699 -0.69575474 -0.11661445 -0.35578364 0.9815655 0.39157175 0.32522671 0.60756531 -0.96260494 -0.90554379], Predicted=0 X=[ 1.00169505 0.01745194 -0.36519658 0.10028219 -0.21845708 -0.37094597 0.57983483 0.39210289 1.66727194 0.96528863 -0.01159456], Predicted=0 X=[-0.30195909 -0.28021359 -0.28255704 -0.94476527 0.01042052 -0.19453143 -0.10261885 -0.34353506 1.53480861 0.1766049 -0.33666701], Predicted=0 X=[ 0.17209696 0.11667379 -0.6131152 -0.94476527 -0.08113052 -1.37062835 -1.20866448 -0.57760167 -0.71706797 -0.26155273 -0.01159456], Predicted=0 X=[-1.72412724 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0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=0 X=[-1.96115527 0.06706287 -0.36519658 -0.24478065 -0.4931102 1.68722366 -0.00848731 -1.51386815 0.01148034 -1.31313104 1.53249956], Predicted=1 X=[ 0.64615301 -0.9747665 -0.77839428 -0.98420103 0.05619604 -0.84138474 -0.76153965 -0.06599892 2.19712525 1.31581474 -0.01159456], Predicted=0 X=[-0.89452915 0.71200485 -0.77839428 -0.80674014 -0.53888572 -0.60616535 -0.12615174 -1.14604918 1.0049553 0.87765711 1.20742712], Predicted=0 X=[ 0.17209696 0.71200485 -1.35687106 -1.04335466 0.14774708 -1.66465259 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=0 X=[ 0.76466702 0.01745194 0.04800112 -0.43210048 -0.81353884 0.04068796 -0.5262108 -1.01229682 -1.31315295 -0.69971036 1.45123145], Predicted=0 X=[-0.77601514 -0.77632281 -0.69575474 1.6974302 0.4224002 -1.60584774 -0.43207925 1.21802367 0.01148034 0.35186795 -0.74300757], Predicted=0 X=[ 0.76466702 0.41433932 -0.77839428 -0.35322897 0.33084916 -1.60584774 -0.10261885 0.59273142 -0.31967798 0.08897337 -1.14934812], Predicted=0 X=[ 0.17209696 1.10889223 -0.1999175 -0.21520384 5.64080947 -0.19453143 0.55630195 0.82679804 0.077712 -0.08628968 -0.90554379], Predicted=0 X=[ 0.64615301 -0.37943543 -0.36519658 0.73125424 0.1935226 -0.84138474 -0.78507254 0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=0 X=[ 0.64615301 -0.87554465 1.28759423 0.06084644 -0.40155916 -1.19421382 -0.66740811 -0.07603035 0.077712 -0.96260494 0.394746 ], Predicted=0 X=[-2.3166973 0.56317209 -1.60478968 -1.0039189 -0.44733468 1.98124789 0.69749926 -0.63779023 1.86596693 -0.26155273 -0.03868393], Predicted=0 X=[ 1.12020906 -0.77632281 -0.11727796 -0.27435747 -1.36284508 -0.25333627 -0.87920408 -0.72472926 -1.31315295 -0.87497341 0.394746 ], Predicted=0 X=[ 0.29061097 -0.9747665 0.2132802 -0.98420103 -0.12690604 -0.25333627 -1.20866448 -1.41355388 0.47510198 -1.05023647 1.7763039 ], Predicted=1 X=[-0.4204731 0.01745194 0.04800112 -0.55040774 -0.2642326 -0.37094597 -0.40854637 -0.97551493 0.60756531 -0.08628968 1.28869523], Predicted=0 X=[-0.65750113 -0.18099175 -0.69575474 -0.23492171 0.01042052 -1.4294332 -0.12615174 -0.67122832 -1.44561627 1.66634084 0.394746 ], Predicted=0 X=[ 1.35723709 -1.37165388 -0.03463842 -1.02363678 -0.035355 2.09885758 0.55630195 -0.87854447 -0.78329963 -0.17392121 0.394746 ], Predicted=0 X=[-0.53898711 0.11667379 1.94871055 -1.06307253 0.6512778 -1.19421382 -0.43207925 -0.54416359 -0.8495313 -0.69971036 -0.82427568], Predicted=0 X=[-0.89452915 3.19255096 -2.76174325 -1.0039189 -0.17268156 -0.6649702 -1.39692757 -0.10946844 0.8062603 -0.96260494 -0.90554379], Predicted=0 X=[ 0.17209696 0.01745194 -0.11727796 0.26788414 -0.63043676 -0.31214112 -0.57327657 -0.81835591 -0.45214131 1.31581474 1.85757201], Predicted=1 X=[ 0.64615301 -0.37943543 -0.1999175 0.39605034 -0.035355 0.9815655 1.05049255 0.75992186 -0.6508363 -1.48839409 -1.39315246], Predicted=0 X=[ 0.64615301 -0.28021359 0.29591974 -0.74758651 0.1935226 -0.6649702 -0.14968462 -0.88523209 -0.98199462 0.35186795 0.55728222], Predicted=0 X=[-0.30195909 2.79566358 -0.94367336 0.49463972 -0.53888572 -0.48855566 -0.12615174 0.91039326 0.077712 0.1766049 -1.14934812], Predicted=0 X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604 1.62841881 0.25037443 -0.5107255 1.66727194 0.26423642 0.23220977], Predicted=0 X=[ 0.88318104 0.61278301 0.46119882 0.23830733 -0.2642326 0.56993158 1.80354489 0.82679804 -0.51837298 0.35186795 -1.06808001], Predicted=0 X=[ 0.05358295 1.20811407 0.29591974 0.49463972 0.33084916 0.04068796 0.22684155 0.6596076 -0.18721466 0.08897337 -0.9868119 ], Predicted=0 X=[ 1.4757511 -0.77632281 -0.44783612 -1.08279041 -1.04241644 0.80515096 -1.20866448 -1.13936156 -1.77677459 -1.13786799 0.47601411], Predicted=0 X=[-0.4204731 2.29955436 -0.69575474 -0.9250474 0.10197156 0.2171025 0.90929523 -0.63779023 0.60756531 0.70239405 0.04258418], Predicted=0 X=[-0.30195909 0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597 -0.92626985 -1.24301963 -0.58460464 -0.78734189 1.45123145], Predicted=0 X=[-0.4204731 0.21589563 -0.53047566 -0.47153623 -0.35578364 0.09949281 -0.97333563 -1.25973868 0.077712 0.96528863 1.69503579], Predicted=1 X=[-0.65750113 -0.18099175 -0.77839428 0.15943582 -0.31000812 0.15829765 0.79163081 0.59273142 1.99843026 1.31581474 -0.66173945], Predicted=0 X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=0 X=[ 0.40912499 -1.17321019 -0.6131152 0.13971794 0.37662468 0.33471219 2.01534087 0.86023613 1.26988195 0.527131 -0.33666701], Predicted=0 X=[ 1.59426511 0.21589563 0.87439652 1.18476541 -0.12690604 0.9815655 0.36803886 0.16472389 -0.98199462 -1.40076257 1.20742712], Predicted=0 X=[-0.89452915 -0.77632281 0.04800112 0.61294698 -0.21845708 0.15829765 1.47408449 0.32522671 -0.31967798 -0.43681578 -0.33666701], Predicted=0 X=[ 0.64615301 -1.17321019 -0.11727796 -0.98420103 0.8801554 -0.72377504 0.03857846 -0.89860732 -0.8495313 -0.17392121 0.71981845], Predicted=0 X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.56806839 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=0 X=[-0.77601514 0.21589563 -1.0263129 -1.04335466 -0.63043676 -0.25333627 -0.64387523 -1.71449668 -1.44561627 -0.61207884 1.36996334], Predicted=0 X=[ 1.59426511 0.41433932 -0.6131152 -0.84617589 0.74282884 -0.5473605 -1.20866448 -1.43361674 -0.58460464 -0.17392121 1.85757201], Predicted=1 X=[ 0.17209696 -0.47865728 0.70911744 2.29882544 0.1935226 -0.01811689 0.13271 1.96369304 0.21017533 -0.61207884 -1.39315246], Predicted=0 X=[ 0.527639 -0.28021359 0.2132802 -0.84617589 -0.53888572 -0.31214112 0.90929523 -1.06245396 0.40887032 -0.78734189 1.126159 ], Predicted=0 X=[ 0.527639 -0.28021359 -0.36519658 0.21858945 0.14774708 0.15829765 0.46217041 0.82679804 1.60104027 -0.96260494 -0.74300757], Predicted=0 X=[ 0.29061097 1.90266698 -0.36519658 1.65799445 -0.99664092 -0.78257989 0.08564423 0.38541527 -0.45214131 -0.08628968 1.20742712], Predicted=0 X=[-0.06493106 0.61278301 0.2132802 0.49463972 -0.76776332 0.51112673 -0.24381617 -0.2833465 0.60756531 -1.22549952 1.16679306], Predicted=0 X=[-1.60561323 -1.17321019 -0.94367336 -0.37294685 -0.7219878 -0.31214112 -0.8556712 -0.07603035 0.34263866 -1.13786799 -0.90554379], Predicted=0 X=[ 0.527639 -0.87554465 -0.69575474 -0.98420103 0.23929812 0.33471219 -0.73800677 -0.06934273 2.26335691 1.49107779 -0.01159456], Predicted=0 X=[ 0.88318104 0.41433932 -0.69575474 0.61294698 -0.7219878 -1.19421382 -0.05555308 -0.11949986 -0.58460464 -0.43681578 1.28869523], Predicted=0 X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103 0.46817572 -1.31182351 -0.0320202 -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=0 X=[ 0.527639 -0.67710097 -0.36519658 -0.94476527 -0.53888572 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0.83437988 1.15798004 0.32097309 0.39210289 0.67379698 -1.05023647 -0.9868119 ], Predicted=0 X=[-1.3685852 -1.27243203 -0.44783612 -0.53068986 -0.035355 1.27558973 0.29744021 -0.91198256 0.21017533 -1.92655172 0.55728222], Predicted=0 X=[ 3.96454537 1.60500145 4.5105363 -0.03774295 0.14774708 -0.90018958 -0.33794771 0.9271123 -1.31315295 0.1766049 -0.49920323], Predicted=0 X=[ 0.76466702 -0.67710097 -0.11727796 -0.31379322 0.46817572 0.2171025 -0.59680945 -0.03256083 -0.51837298 0.26423642 -0.2553989 ], Predicted=0 X=[-1.3685852 -0.9747665 -0.94367336 -0.43210048 -0.17268156 -0.60616535 -0.64387523 -0.00915417 1.07118696 -0.87497341 -0.90554379], Predicted=0 X=[-0.53898711 -0.28021359 -0.11727796 -1.08279041 -0.53888572 0.27590734 -0.57327657 -0.9654835 0.8062603 0.79002558 0.23220977], Predicted=0 X=[ 0.527639 1.20811407 -0.6131152 -0.18562702 -1.36284508 -0.5473605 -1.13806583 -1.51052434 -2.30662791 0.43949948 2.18264446], Predicted=1 X=[ 1.12020906 0.01745194 -0.1999175 -0.84617589 0.01042052 -0.42975081 1.63881469 0.10453533 0.27640699 1.31581474 -0.58047134], Predicted=0 X=[ 0.05358295 -0.87554465 0.46119882 0.31717883 -0.81353884 -0.78257989 -1.27926314 -0.00915417 -0.51837298 1.49107779 0.23220977], Predicted=0 X=[-0.06493106 -0.37943543 0.04800112 -0.25463959 -0.35578364 -0.25333627 -0.92626985 -0.64447785 0.34263866 -0.26155273 1.04489089], Predicted=0 X=[-0.89452915 0.51356116 -0.11727796 0.27774308 0.28507364 0.9815655 1.05049255 0.8502047 1.33611362 1.40344626 -0.82427568], Predicted=0 X=[-1.3685852 -0.57787912 -0.44783612 -1.0039189 -0.85931436 -0.5473605 -0.87920408 -1.52055577 1.07118696 -0.96260494 1.61376767], Predicted=1 X=[-1.25007119 0.21589563 -2.01798739 -0.01802507 -0.17268156 0.04068796 -0.00848731 -0.06934273 -0.25344632 -0.08628968 -0.66173945], Predicted=0 X=[-1.3685852 -0.47865728 -0.44783612 0.6425238 -0.9508654 -0.5473605 -0.40854637 -0.5107255 0.60756531 -0.96260494 0.63855033], Predicted=1 X=[ 2.4238632 0.51356116 -0.11727796 -0.96448315 0.05619604 -1.4294332 1.45055161 0.45897907 0.01148034 -0.26155273 -0.90554379], Predicted=0 X=[ 1.4757511 1.70422329 0.04800112 0.37633246 -0.40155916 -0.13572658 1.82707778 1.19461701 0.8062603 1.31581474 -0.66173945], Predicted=0 X=[-1.3685852 1.70422329 0.70911744 -1.04335466 0.23929812 1.51080912 1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=0 X=[ 0.76466702 0.21589563 -0.11727796 -0.98420103 -0.63043676 -0.25333627 0.53276906 -0.83173115 -1.5780796 -0.61207884 -0.01159456], Predicted=0 X=[ 1.12020906 -0.18099175 0.87439652 -1.0039189 -0.40155916 0.45232188 -0.14968462 0.12459818 -0.05475133 1.40344626 -0.41793512], Predicted=0 X=[-1.13155718 -0.87554465 -1.0263129 -0.9250474 -0.035355 1.27558973 -0.07908597 -0.20643889 0.87249197 -0.43681578 -0.82427568], Predicted=0 X=[-0.53898711 -0.9747665 -0.1999175 -0.94476527 0.14774708 0.04068796 -0.26734905 -0.2097827 2.72697856 1.57870931 -0.09286267], Predicted=0 X=[-0.77601514 0.01745194 -0.94367336 0.1791537 -0.21845708 -0.5473605 0.43863752 0.55929333 1.66727194 1.31581474 -0.58047134], Predicted=0 X=[ 0.76466702 1.40655776 -1.10895244 -0.98420103 0.6512778 -1.19421382 0.69749926 0.12459818 -0.8495313 -0.78734189 -0.90554379], Predicted=0 X=[ 0.64615301 0.41433932 -0.53047566 -0.98420103 0.14774708 0.15829765 0.81516369 -0.22650175 -1.04822629 0.26423642 -0.9868119 ], Predicted=0 X=[-0.30195909 -0.0817699 1.53551285 0.33689671 -0.08113052 1.04037035 1.49761738 0.48572954 -0.05475133 -0.08628968 -0.82427568], Predicted=0 X=[-0.06493106 -0.57787912 -0.1999175 -0.98420103 0.33084916 -0.07692173 -0.57327657 -0.37697314 1.33611362 2.45502457 0.06967355], Predicted=0 X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228 0.27590734 -0.57327657 -1.079173 1.53480861 -0.78734189 0.394746 ], Predicted=0 X=[-1.25007119 -0.0817699 -1.10895244 0.1791537 -0.2642326 0.39351704 0.15624289 0.1312858 -0.25344632 -0.08628968 -0.58047134], Predicted=0 X=[ 1.35723709 1.60500145 1.28759423 0.53407548 -0.67621228 0.62873642 0.29744021 -0.47728741 -0.18721466 -1.92655172 1.7763039 ], Predicted=0 X=[-0.89452915 0.21589563 1.86607101 -0.72786863 0.01042052 0.62873642 1.07402544 -0.54416359 0.8062603 0.70239405 0.31347789], Predicted=0 X=[-0.18344508 -1.27243203 -0.11727796 0.29746096 -0.53888572 -1.07660412 -1.3498618 0.36535242 0.67379698 -1.57602562 -0.41793512], Predicted=0 X=[-0.65750113 0.01745194 -0.28255704 -0.64899712 -0.31000812 -0.6649702 -0.54974368 0.05772201 -0.91576296 -0.52444731 -1.55568868], Predicted=0 X=[-1.01304317 -0.0817699 0.54383836 -0.9250474 -1.13396748 -1.01779928 -1.32632891 -1.6476205 0.34263866 4.03239204 2.12846571], Predicted=1 X=[ 1.4757511 -0.87554465 2.03135009 2.02277516 0.14774708 0.74634612 1.00342678 2.19775966 0.077712 1.14055168 -1.14934812], Predicted=0 X=[ 0.17209696 0.71200485 -0.1999175 -0.90532952 1.06325748 -1.19421382 0.55630195 0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=0 X=[-0.18344508 -0.18099175 -0.6131152 -0.47153623 1.52101268 0.01128554 1.82707778 0.52585524 0.8062603 1.66634084 -0.82427568], Predicted=0 X=[ 1.35723709 0.01745194 0.70911744 0.13971794 -0.035355 0.33471219 0.72103215 0.62616951 -0.12098299 -0.52444731 0.06967355], Predicted=0 X=[-1.25007119 -0.47865728 -0.1999175 -0.37294685 0.01042052 0.39351704 -0.33794771 -0.26328364 0.8062603 1.31581474 0.23220977], Predicted=0 X=[-1.60561323 -1.37165388 -0.53047566 -0.35322897 -0.76776332 -0.78257989 -0.80860543 0.29178862 1.0049553 -0.43681578 -1.23061624], Predicted=0 X=[-0.06493106 -0.18099175 -0.77839428 0.27774308 0.28507364 1.09917519 1.78001201 0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=0 X=[-0.89452915 -0.37943543 -0.53047566 0.67210061 0.74282884 -0.13572658 0.32097309 0.86023613 0.8062603 -0.17392121 -0.82427568], Predicted=0 X=[ 0.05358295 0.01745194 -0.77839428 -0.84617589 -0.53888572 0.80515096 -0.40854637 -1.74124715 -1.37938461 -0.52444731 2.18264446], Predicted=1 X=[-0.89452915 0.71200485 -2.18326647 -0.98420103 1.06325748 -0.78257989 -0.71447388 -0.2097827 0.27640699 0.26423642 -1.06808001], Predicted=0 X=[ 0.76466702 -0.28021359 1.12231514 -0.45181836 -0.21845708 3.5101739 0.57983483 -0.73141688 -1.77677459 0.87765711 0.63855033], Predicted=0 X=[-1.01304317 0.51356116 -0.53047566 -1.10250829 6.37321778 -1.37062835 1.16815698 -0.54416359 -0.45214131 1.14055168 -0.90554379], Predicted=0 X=[ 0.527639 -0.57787912 1.28759423 0.69181849 -0.67621228 0.74634612 0.53276906 -0.10946844 -1.18068962 -1.8389202 0.55728222], Predicted=0 X=[ 0.527639 -0.57787912 -0.6131152 -0.96448315 -0.2642326 -0.19453143 0.79163081 -0.69797879 0.54133365 -0.08628968 0.55728222], Predicted=0 X=[ 0.05358295 0.21589563 1.28759423 0.23830733 0.51395124 -0.60616535 0.41510463 0.72648377 1.60104027 1.22818321 0.394746 ], Predicted=0 X=[-1.3685852 -0.28021359 -0.94367336 0.67210061 0.14774708 0.86395581 -0.31441482 0.56263714 0.077712 -0.34918426 -0.33666701], Predicted=0 X=[-0.18344508 1.40655776 1.0396756 0.65238274 0.37662468 1.8636382 2.25066972 1.48887219 0.27640699 0.08897337 -1.23061624], Predicted=0 X=[ 0.29061097 1.20811407 1.53551285 -1.0039189 4.67952355 0.56993158 0.25037443 0.21822483 -0.71706797 0.61476253 -1.47442057], Predicted=0 X=[ 1.12020906 -0.18099175 -0.1999175 -0.55040774 -0.9508654 -0.78257989 -0.90273697 -1.12598632 -1.31315295 -0.17392121 1.28869523], Predicted=0 X=[-0.53898711 -1.27243203 0.2132802 -0.90532952 -0.53888572 0.45232188 0.27390732 -0.61103976 1.53480861 1.75397237 0.394746 ], Predicted=0 X=[-1.96115527 -1.07398834 -0.53047566 -1.12222616 -0.7219878 -1.4294332 -1.65578931 -0.61772738 0.74002864 -0.69971036 -0.58047134], Predicted=0 X=[-0.30195909 -0.87554465 0.79175698 0.88899726 -0.035355 1.04037035 0.36803886 1.16786654 2.19712525 2.45502457 -0.09286267], Predicted=0 X=[-0.77601514 -0.28021359 0.37855928 0.29746096 -0.035355 1.09917519 1.63881469 0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=0 X=[-0.18344508 0.61278301 0.54383836 -0.84617589 -0.58466124 -0.07692173 -0.64387523 -1.60080718 -1.44561627 -0.08628968 1.36996334], Predicted=0 X=[ 0.40912499 -0.18099175 0.37855928 -0.96448315 0.69705332 -1.37062835 -0.43207925 -0.70466641 -0.05475133 -0.26155273 -0.09286267], Predicted=0 X=[ 0.40912499 0.8112267 0.2132802 -0.13633233 -0.35578364 -0.5473605 -0.94980274 -0.87854447 -1.71054293 0.87765711 1.61376767], Predicted=0 X=[-0.30195909 0.41433932 -0.6131152 0.2580252 0.37662468 1.21678489 1.66234758 0.69304568 -0.12098299 -0.34918426 -1.39315246], Predicted=0 X=[ 0.64615301 -0.18099175 -0.28255704 0.29746096 0.14774708 0.15829765 0.43863752 0.75992186 -0.38590965 -0.08628968 -1.31188435], Predicted=0 X=[-0.77601514 -0.0817699 -0.6131152 1.12561178 0.01042052 0.45232188 -0.26734905 0.3586648 -0.18721466 -1.05023647 0.23220977], Predicted=0 X=[ 2.30534919e+00 -4.78657278e-01 1.30640662e-01 8.49561503e-01 -2.64232600e-01 -5.47360505e-01 1.05049255e+00 1.46212172e+00 -1.71054293e+00 1.34184656e-03 -1.14934812e+00], Predicted=0 X=[ 0.05358295 -0.77632281 0.04800112 -0.88561164 -0.12690604 -0.60616535 -0.05555308 -0.17634461 0.8062603 0.96528863 -0.33666701], Predicted=0 X=[-0.77601514 -0.0817699 -1.27423152 -0.96448315 -0.81353884 -0.90018958 -0.64387523 -0.58428929 1.46857694 0.08897337 -0.41793512], Predicted=0 X=[ 0.64615301 0.41433932 -0.94367336 1.04674027 -0.4931102 0.51112673 0.27390732 0.5860438 -0.58460464 -0.34918426 -0.09286267], Predicted=0 X=[ 1.23872307 -0.28021359 -0.36519658 -0.21520384 -0.67621228 -0.13572658 -0.50267791 -0.74479212 -0.8495313 -1.48839409 1.04489089], Predicted=0 X=[ 0.29061097 -0.18099175 -0.11727796 1.58898188 1.29213508 -0.37094597 -0.73800677 1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=0 X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=0 X=[-1.13155718 -0.0817699 -0.53047566 -0.27435747 -0.4931102 -1.25301866 -0.97333563 -1.15273679 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0.62616951 -0.12098299 -0.52444731 0.06967355], Predicted=0 X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=0 X=[ 0.17209696 -0.0817699 -0.11727796 0.08056431 0.05619604 0.68754127 1.28582141 -0.07603035 0.27640699 -0.87497341 0.71981845], Predicted=0 X=[ 1.00169505 -0.18099175 1.45287331 -0.74758651 -0.035355 -0.5473605 0.48570329 -0.92535779 -1.24692128 0.08897337 0.55728222], Predicted=0 X=[-0.06493106 0.41433932 -1.27423152 0.21858945 -0.21845708 2.09885758 1.99180798 0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=0 X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=0 X=[ 0.29061097 -0.0817699 -0.53047566 0.79040787 -0.21845708 -0.5473605 -0.57327657 -0.22650175 -0.98199462 0.26423642 0.80108656], Predicted=0 X=[-0.77601514 0.8112267 -0.11727796 -0.47153623 -0.44733468 0.51112673 -1.09100005 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0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=0 X=[ 1.71277913 -0.67710097 0.54383836 -0.94476527 -0.63043676 -0.01811689 -0.66740811 -1.11261109 -1.11445795 0.96528863 1.93884012], Predicted=1 X=[ 0.76466702 -0.47865728 -0.11727796 0.55379335 -0.35578364 1.09917519 1.23875564 0.86023613 -0.98199462 0.61476253 -0.66173945], Predicted=0 X=[-0.65750113 -0.77632281 -0.77839428 -0.9250474 0.28507364 0.04068796 -0.07908597 -0.0960932 4.05161184 1.49107779 0.23220977], Predicted=0 X=[ 0.76466702 -0.37943543 2.36190825 0.82984363 -0.035355 0.92276066 0.34450598 1.25814938 -0.18721466 -0.43681578 -1.39315246], Predicted=0 X=[ 0.76466702 1.40655776 -1.60478968 0.8495615 0.01042052 -1.01779928 -1.0204014 0.62616951 0.21017533 -1.40076257 0.15094166], Predicted=0 X=[-0.06493106 -0.67710097 -0.6131152 1.04674027 -0.35578364 1.51080912 0.32097309 0.40213432 -1.11445795 0.61476253 -0.01159456], Predicted=0 X=[-0.18344508 -0.9747665 -1.19159198 -0.3335111 0.01042052 1.27558973 0.53276906 0.19147436 0.87249197 1.49107779 -0.01159456], Predicted=0 X=[ 0.17209696 0.71200485 -0.77839428 -0.88561164 -0.2642326 -0.84138474 0.13271 -0.57760167 1.07118696 -0.96260494 0.394746 ], Predicted=0 X=[-1.13155718 0.01745194 0.46119882 -0.98420103 -0.67621228 0.68754127 0.20330866 -1.89506236 -0.71706797 1.31581474 1.93884012], Predicted=1 X=[ 1.00169505 0.11667379 1.20495468 -0.80674014 0.14774708 0.04068796 0.93282812 -0.31009697 -0.12098299 1.31581474 0.06967355], Predicted=0 X=[ 0.29061097 -1.47087572 -0.36519658 1.79601958 0.83437988 1.21678489 -0.53797724 1.11770941 -0.18721466 -0.69971036 -0.66173945], Predicted=0 X=[-0.30195909 -0.67710097 1.28759423 2.31854331 -0.17268156 0.33471219 0.46217041 1.89681687 0.60756531 -0.87497341 -1.47442057], Predicted=0 X=[-1.01304317 2.74605266 -0.6131152 -0.37294685 0.33084916 -1.07660412 -0.29088194 0.09116009 0.34263866 -0.26155273 -1.14934812], Predicted=0 X=[ 0.527639 -0.0817699 0.29591974 0.65238274 -0.17268156 0.04068796 -0.1967504 1.29493128 1.93219859 2.27976152 -0.49920323], Predicted=0 X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081 -1.09100005 -0.59432072 1.33611362 1.75397237 0.31347789], Predicted=0 X=[ 1.35723709 2.69644174 0.70911744 1.22420116 7.5633813 0.09949281 1.75647912 1.59587407 -1.31315295 0.61476253 -0.9868119 ], Predicted=0 X=[ 0.29061097 -1.17321019 0.2132802 -1.02363678 -0.12690604 -0.84138474 -1.13806583 -0.5107255 -0.18721466 -0.61207884 0.394746 ], Predicted=0 X=[ 0.29061097 -0.47865728 -0.77839428 -0.19548596 -0.31000812 1.45200427 1.35642006 0.25835054 0.01148034 2.5426561 -0.41793512], Predicted=0 X=[ 1.12020906 -0.37943543 0.37855928 -0.84617589 0.55972676 -1.25301866 0.67396638 -0.00915417 0.14394366 0.527131 -0.49920323], Predicted=0 X=[ 0.40912499 0.8112267 0.2132802 -0.13633233 -0.35578364 -0.5473605 -0.94980274 -0.87854447 -1.71054293 0.87765711 1.61376767], Predicted=0 X=[ 0.76466702 0.21589563 3.10566411 -1.0039189 5.22882979 0.51112673 0.25037443 0.25835054 -0.71706797 -0.61207884 -1.31188435], Predicted=0 X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468 2.27527212 1.07402544 -1.02567206 0.21017533 -0.69971036 0.394746 ], Predicted=0 X=[-0.18344508 -0.47865728 -0.03463842 -0.90532952 -0.44733468 -0.72377504 -0.99686851 -0.5107255 0.87249197 -0.78734189 0.23220977], Predicted=0 X=[-0.77601514 0.71200485 -0.36519658 -0.49125411 -0.21845708 -0.78257989 -1.39692757 -1.32995866 -0.58460464 0.87765711 1.26160586], Predicted=0 X=[ 0.88318104 -0.77632281 -0.6131152 -0.37294685 1.84144132 0.09949281 -0.12615174 0.75992186 -0.25344632 -0.61207884 -1.06808001], Predicted=0 X=[ 0.05358295 -0.0817699 0.6264779 -0.9250474 0.05619604 -1.72345743 -0.10261885 -0.37697314 -0.25344632 1.75397237 0.71981845], Predicted=0 X=[-0.18344508 -1.66931941 -0.6131152 1.65799445 0.33084916 0.51112673 -1.0204014 0.91373707 0.077712 -1.22549952 -0.58047134], Predicted=0 X=[-0.4204731 0.8112267 0.37855928 0.75097212 -0.81353884 -0.90018958 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0.74634612 0.53276906 1.76306451 1.0049553 -0.08628968 -0.82427568], Predicted=0 X=[-0.53898711 -0.37943543 -0.86103382 0.1791537 1.06325748 -0.25333627 0.43863752 0.72648377 0.40887032 0.35186795 -1.14934812], Predicted=0 X=[ 0.29061097 -0.77632281 -0.53047566 0.63266486 -0.40155916 -0.95899443 -0.78507254 0.13797342 -0.98199462 -1.05023647 -0.01159456], Predicted=0 X=[-1.48709922 -0.57787912 -0.11727796 -1.02363678 -0.99664092 -0.37094597 -0.97333563 -1.93853187 0.077712 -0.26155273 2.06074229], Predicted=1 X=[ 1.83129314 0.01745194 0.54383836 0.49463972 0.10197156 -0.13572658 0.17977578 1.59587407 1.40234528 -0.26155273 -0.9868119 ], Predicted=0 X=[ 1.23872307 -0.77632281 0.46119882 -1.06307253 -0.21845708 0.09949281 0.36803886 -1.03570348 -0.71706797 -0.52444731 1.126159 ], Predicted=0 X=[-0.4204731 2.29955436 -0.69575474 -0.9250474 0.10197156 0.2171025 0.90929523 -0.63779023 0.60756531 0.70239405 0.06967355], Predicted=0 X=[-0.30195909 3.39099465 -1.10895244 0.45520397 0.01042052 2.68690605 2.01534087 0.67632664 -0.12098299 -0.43681578 -0.9868119 ], Predicted=0 X=[-1.72412724 0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535 -1.06746717 -2.20938039 0.8062603 -0.78734189 2.5077169 ], Predicted=1 X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897 0.1935226 -0.72377504 -0.94980274 0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=0 X=[ 0.76466702 0.41433932 -0.6131152 -0.90532952 -0.17268156 -1.31182351 -0.12615174 -0.07603035 -0.78329963 -0.96260494 -0.82427568], Predicted=0 X=[ 1.12020906 -0.77632281 -1.10895244 -0.98420103 -0.44733468 -0.60616535 -1.30279603 -1.05242253 -1.04822629 -0.26155273 0.96362278], Predicted=0 X=[-1.48709922 -0.42904636 -0.36519658 -1.02363678 0.05619604 -0.13572658 -0.26734905 -1.01229682 1.0049553 0.08897337 0.394746 ], Predicted=0 X=[-0.06493106 -0.57787912 0.13064066 -0.17576808 -0.12690604 -0.84138474 -0.57327657 -0.07603035 0.74002864 0.35186795 0.15094166], Predicted=0 X=[-0.65750113 -0.77632281 -0.6131152 -0.3335111 -0.2642326 4.2746369 0.69749926 -0.41709885 -0.78329963 2.27976152 0.15094166], Predicted=0 X=[ 1.12020906 0.11667379 -0.03463842 0.46506291 -0.4931102 -0.13572658 1.00342678 0.72648377 -0.51837298 -0.26155273 0.15094166], Predicted=0 X=[-0.30195909 -0.28021359 -0.28255704 1.57912294 0.28507364 0.27590734 1.05049255 1.32836936 -1.11445795 0.08897337 -1.14934812], Predicted=0 X=[ 0.76466702 -0.47865728 -0.11727796 0.55379335 -0.35578364 1.09917519 1.23875564 0.86023613 -0.98199462 0.61476253 -0.66173945], Predicted=0 X=[-0.53898711 -0.47865728 0.46119882 -0.90532952 -0.63043676 -0.72377504 -0.47914502 -0.94542065 0.87249197 0.08897337 1.04489089], Predicted=0 X=[ 0.17209696 0.41433932 -0.77839428 -0.03774295 0.10197156 -0.25333627 2.10947241 0.55929333 0.27640699 1.14055168 -0.90554379], Predicted=0 X=[ 0.76466702 -0.18099175 -0.1999175 -0.94476527 -0.63043676 0.04068796 -0.690941 -1.19955012 -1.44561627 -0.52444731 1.126159 ], Predicted=0 X=[ 0.05358295 0.11667379 0.6264779 0.27774308 0.01042052 0.9815655 0.76809792 0.44894764 -0.45214131 0.1766049 -0.74300757], Predicted=0 X=[-0.77601514 -0.47865728 0.13064066 -1.12222616 0.23929812 -0.6649702 -0.64387523 -0.81166829 1.20365029 -0.52444731 0.394746 ], Predicted=0 X=[ 0.05358295 0.01745194 -0.94367336 0.71153637 0.28507364 0.04068796 -0.17321751 0.98061324 -0.71706797 -0.26155273 -0.74300757], Predicted=0 X=[ 0.527639 -0.57787912 0.54383836 1.64813551 -0.17268156 0.54052915 -0.20851684 1.93025495 1.13741862 -0.69971036 -1.14934812], Predicted=0 X=[ 0.527639 1.20811407 -0.44783612 0.02141068 -0.40155916 -0.5473605 -0.97333563 -0.851794 -0.18721466 0.79002558 1.69503579], Predicted=1 X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=0 X=[ 0.64615301 -1.17321019 1.28759423 -1.02363678 0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=0 X=[-0.53898711 1.00967039 -1.19159198 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1.28759423 0.23830733 0.28507364 1.8636382 2.06240664 0.52585524 -0.18721466 -0.17392121 -1.31188435], Predicted=0 X=[-0.53898711 -0.77632281 -0.44783612 -0.76730438 -0.63043676 -0.6649702 -1.27926314 -0.78491782 0.8062603 0.527131 0.80108656], Predicted=0 X=[-1.48709922 1.30733592 -0.77839428 -0.88561164 -0.53888572 -1.48823805 -2.0087826 -1.96528234 0.87249197 0.08897337 2.42644879], Predicted=1 X=[ 1.4757511 -0.77632281 -0.28255704 -1.0039189 -0.44733468 -1.66465259 -2.10291414 -0.53747597 -1.31315295 2.10449847 -0.17413078], Predicted=0 X=[-0.53898711 1.50577961 -0.11727796 -0.98420103 0.10197156 -1.48823805 -1.6793222 -0.67791594 -0.71706797 -0.69971036 0.71981845], Predicted=0 X=[ 0.64615301 1.30733592 2.69246641 0.86927938 0.23929812 2.45168666 1.30935429 1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=0 X=[-1.13155718 -0.28021359 -0.69575474 0.96786876 0.28507364 -0.31214112 0.62690061 0.99398848 0.34263866 -0.43681578 -0.82427568], Predicted=0 X=[-0.65750113 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0.91044854 -0.28255704 -0.03774295 -0.2642326 0.80515096 0.01504558 -1.27645772 -0.12098299 -1.92655172 2.5077169 ], Predicted=1 X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805 -0.71447388 -0.53413216 0.60756531 0.08897337 -0.41793512], Predicted=0 X=[-0.06493106 0.31511748 -0.11727796 0.23830733 0.28507364 -0.01811689 0.10917712 0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=0 X=[ 1.4757511 1.50577961 0.70911744 0.04112856 -0.58466124 0.04068796 0.06211135 -0.74479212 -1.37938461 -0.87497341 2.26391257], Predicted=0 X=[-2.3166973 -0.42904636 -0.53047566 1.05659921 -0.7219878 -0.07692173 -0.47914502 0.45897907 -0.78329963 0.08897337 -0.90554379], Predicted=0 X=[-0.65750113 -0.47865728 -1.0263129 -0.25463959 -0.4931102 -0.37094597 0.08564423 0.05772201 1.13741862 -1.40076257 -0.33666701], Predicted=0 X=[-0.65750113 -0.67710097 -0.1999175 -1.02363678 -0.12690604 -0.31214112 -0.50267791 -0.81835591 1.99843026 1.66634084 0.394746 ], Predicted=0 X=[ 0.29061097 1.10889223 0.13064066 1.20448328 -0.08113052 -0.5473605 -1.56165777 0.02428392 -0.12098299 -1.75128867 0.88235467], Predicted=0 X=[ 0.17209696 -0.37943543 1.45287331 0.90871513 -0.76776332 1.15798004 2.08593952 0.82679804 -1.04822629 1.05292016 -0.82427568], Predicted=0 X=[-0.30195909 -0.77632281 -0.53047566 0.88899726 -0.35578364 -0.37094597 -0.1967504 0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=0 X=[ 0.05358295 -0.57787912 -0.11727796 0.57351123 -0.2642326 -0.78257989 -0.66740811 0.59273142 1.0049553 0.43949948 0.15094166], Predicted=0 X=[ 0.17209696 -0.9747665 0.29591974 -0.96448315 -0.12690604 -1.13540897 -0.80860543 -0.624415 -0.05475133 0.08897337 0.23220977], Predicted=0 X=[ 0.76466702 -1.07398834 0.87439652 0.96786876 0.01042052 1.7460285 0.17977578 0.99398848 -0.12098299 -0.34918426 -0.41793512], Predicted=0 X=[-0.77601514 -0.18099175 -1.10895244 0.31717883 0.05619604 -0.01811689 -0.64387523 0.14131723 -0.51837298 -0.61207884 -0.09286267], Predicted=0 X=[ 0.88318104 0.51356116 0.6264779 1.4410978 -0.035355 0.51112673 1.37995295 1.62931216 -0.05475133 1.31581474 -1.14934812], Predicted=0 X=[ 0.64615301 0.21589563 -0.94367336 -0.22506277 0.33084916 -0.13572658 0.97989389 -0.47728741 -0.38590965 -0.34918426 0.88235467], Predicted=0 X=[ 0.40912499 1.10889223 1.70079193 -0.98420103 5.09150323 -0.07692173 -0.14968462 0.15469246 -0.51837298 0.35186795 -1.23061624], Predicted=0 X=[ 1.12020906 -0.18099175 1.28759423 -0.62927925 -0.85931436 -0.42975081 -1.20866448 -0.71135403 -1.04822629 -1.48839409 0.63855033], Predicted=0 X=[-1.13155718 3.68866018 -0.86103382 -0.27435747 -0.4931102 -0.90018958 -0.24381617 -1.29317677 1.79973526 -0.08628968 1.85757201], Predicted=0 X=[ 0.64615301 1.70422329 -0.11727796 0.13971794 -0.08113052 -1.07660412 -0.50267791 0.72648377 0.87249197 -0.69971036 -0.09286267], Predicted=0 X=[ 0.29061097 -1.07398834 0.79175698 -1.0039189 -1.04241644 -0.13572658 -0.14968462 -1.12264251 -0.51837298 0.61476253 0.96362278], Predicted=0 X=[ 0.40912499 -0.47865728 -1.19159198 1.4410978 0.28507364 0.68754127 1.37995295 1.54571694 -0.45214131 0.35186795 -1.23061624], Predicted=0 X=[-1.01304317 -1.07398834 -0.28255704 0.1791537 -0.31000812 0.2171025 -0.80860543 -0.50403788 -1.84300626 0.70239405 0.394746 ], Predicted=0 X=[ 1.00169505e+00 -1.80991745e-01 4.80011213e-02 1.69280668e-03 1.93522599e-01 4.06879593e-02 5.79834834e-01 -1.09468437e-01 1.14803354e-02 1.84160389e+00 8.01086557e-01], Predicted=0 X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382 -0.22028328 0.25835054 -0.31967798 0.00134185 -0.74300757], Predicted=0 X=[-0.4204731 -0.87554465 -0.44783612 -0.98420103 0.01042052 -0.78257989 -1.13806583 -1.21961297 -0.05475133 0.1766049 0.96362278], Predicted=0 X=[0.05358295 0.31511748 0.04800112 0.19887157 0.60550228 0.04068796 0.83869658 0.75992186 1.79973526 1.14055168 0.47601411], Predicted=0 X=[ 0.527639 -0.47865728 -0.77839428 -1.08279041 -0.67621228 -0.37094597 -1.23219737 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0.86222946 -0.41041123 -0.98199462 -1.48839409 0.71981845], Predicted=0 X=[ 0.05358295 3.34138372 0.70911744 1.1058939 0.97170644 -0.6649702 -0.17321751 1.08427132 0.01148034 -1.31313104 -0.9868119 ], Predicted=0 X=[-3.01959090e-01 -2.80213589e-01 1.45287331e+00 3.17178833e-01 5.61960394e-02 1.51080912e+00 1.19168986e+00 6.72982831e-01 2.10175327e-01 1.34184656e-03 -1.06808001e+00], Predicted=0 X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=0 X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 -0.52444731 0.63855033], Predicted=0 X=[ 0.527639 -0.47865728 0.6264779 1.61855869 0.10197156 2.21646728 1.99180798 1.53902932 -0.18721466 1.92923542 -0.90554379], Predicted=0 X=[-0.53898711 0.01745194 -0.94367336 1.26363691 -0.31000812 0.92276066 0.27390732 0.44226002 0.27640699 -0.52444731 0.15094166], Predicted=0 X=[-2.07966928 0.11667379 -0.44783612 0.37633246 -0.90508988 -0.48855566 -0.73800677 -0.31678458 1.13741862 -1.05023647 0.394746 ], Predicted=0 X=[-0.53898711 0.41433932 0.13064066 -0.31379322 -0.7219878 -0.07692173 -0.87920408 -0.94542065 1.13741862 0.96528863 1.61376767], Predicted=1 X=[-0.06493106 1.00967039 -0.36519658 0.69181849 -0.40155916 0.27590734 0.17977578 -0.25659603 -0.51837298 -1.05023647 0.80108656], Predicted=0 X=[ 0.05358295 -1.37165388 -0.36519658 0.69181849 0.46817572 -0.31214112 -1.11453294 0.36535242 0.01148034 -1.40076257 -0.49920323], Predicted=0 X=[-0.30195909 -1.07398834 -0.6131152 0.19887157 0.28507364 0.56993158 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=0 X=[-0.89452915 1.70422329 -0.53047566 -1.10250829 -0.31000812 -1.31182351 -1.32632891 -0.44384932 0.27640699 -1.48839409 -0.82427568], Predicted=0 X=[-0.65750113 0.01745194 -0.28255704 0.04112856 7.42605474 1.45200427 0.36803886 0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=0 X=[ 0.64615301 -0.28021359 0.29591974 1.40166205 0.6512778 0.9815655 1.26228852 1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=0 X=[ 1.23872307 0.71200485 -0.77839428 1.81573746 1.20058404 0.51112673 2.13300529 1.27821223 -1.04822629 0.87765711 -0.01159456], Predicted=0 X=[-0.06493106 0.71200485 1.61815239 0.73125424 0.33084916 0.09949281 0.29744021 0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=0 X=[-0.06493106 0.21589563 -0.86103382 -0.35322897 0.69705332 0.89335823 2.35656771 0.59273142 0.87249197 0.96528863 -0.82427568], Predicted=0 X=[-0.77601514 0.21589563 -0.28255704 -0.76730438 -0.21845708 -0.37094597 -1.32632891 -1.12933013 0.8062603 1.05292016 1.04489089], Predicted=0 X=[-1.13155718 -0.47865728 -0.77839428 -0.51097199 -0.35578364 1.51080912 0.32097309 -0.88188828 0.8062603 0.08897337 0.63855033], Predicted=0 X=[ 0.88318104 -0.47865728 0.54383836 -0.23492171 0.92593092 -1.25301866 -1.11453294 0.28510101 -0.12098299 2.71791915 -0.66173945], Predicted=0 X=[-1.25007119 0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332 -2.55003897 -0.54416359 1.13741862 -1.22549952 -1.06808001], Predicted=0 X=[-0.53898711 -0.37943543 -0.11727796 -1.07293147 -0.21845708 -0.72377504 -0.17321751 -1.23633202 0.40887032 -1.22549952 1.04489089], Predicted=0 X=[ 0.05358295 -0.87554465 -0.1999175 2.53543996 -0.12690604 0.15829765 0.67396638 1.84331592 -1.71054293 0.26423642 -1.14934812], Predicted=0 X=[-0.4204731 0.71200485 -0.44783612 1.18476541 0.23929812 2.98093028 1.75647912 0.72648377 -0.18721466 0.1766049 -0.49920323], Predicted=0 X=[-1.3685852 -0.67710097 0.29591974 -0.37294685 -0.2642326 1.33439458 0.03857846 -0.23653317 0.67379698 1.14055168 0.06967355], Predicted=0 X=[ 0.17209696 1.10889223 -1.0263129 0.8495615 2.39074755 -1.31182351 -1.11453294 0.8502047 -1.04822629 -0.17392121 -0.9868119 ], Predicted=0 X=[ 0.40912499 -0.87554465 1.0396756 -0.51097199 -0.21845708 2.74571089 1.14462409 -0.27665888 0.01148034 0.96528863 0.55728222], Predicted=0 X=[ 4.55711543 -0.57787912 1.86607101 0.35661459 -0.08113052 0.09949281 1.00342678 1.32836936 -2.10793291 1.66634084 -0.82427568], Predicted=0 X=[ 0.88318104 -0.0817699 -0.77839428 -0.51097199 0.55972676 -0.95899443 -0.54974368 0.59273142 -0.25344632 -0.34918426 -1.31188435], Predicted=0 X=[ 0.05358295 2.59721989 -0.6131152 1.24391904 0.14774708 1.39319943 1.33288718 0.64623236 0.47510198 0.43949948 -0.01159456], Predicted=0 X=[-0.4204731 1.30733592 -0.94367336 -0.31379322 0.28507364 0.80515096 0.08564423 0.19147436 -0.31967798 1.14055168 -1.06808001], Predicted=0 X=[-1.01304317 0.41433932 -0.28255704 -0.88561164 -0.58466124 0.33471219 0.08564423 -1.64093288 0.67379698 -0.61207884 1.85757201], Predicted=1 X=[-0.18344508 0.31511748 -0.1999175 -0.29407534 -0.67621228 -0.90018958 0.29744021 -0.47728741 1.13741862 2.8931822 1.20742712], Predicted=1 X=[-0.06493106 -0.47865728 -0.03463842 -0.88561164 0.05619604 -0.90018958 -0.87920408 -0.87854447 -0.58460464 -0.26155273 0.47601411], Predicted=0 X=[ 3.25346129 -0.67710097 -0.44783612 -1.02363678 -0.35578364 -1.37062835 -2.0087826 -0.47728741 -2.57155456 -0.26155273 0.06967355], Predicted=0 X=[-0.30195909 0.8112267 1.53551285 0.73125424 0.1935226 -0.37094597 0.03857846 0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=0 X=[ 0.76466702 -0.47865728 2.85774549 0.90871513 0.05619604 0.09949281 -0.12615174 1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=0 X=[-0.53898711 -0.0817699 0.95703606 0.37633246 0.1935226 0.9815655 1.35642006 0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=0 X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566 -0.92626985 -0.44384932 0.01148034 -1.40076257 -0.58047134], Predicted=0 X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=0 X=[-0.53898711 -0.9747665 3.35358273 1.08617602 0.01042052 1.09917519 0.69749926 1.26149319 2.59451523 1.66634084 -0.33666701], Predicted=0 X=[-0.89452915 -0.28021359 -1.27423152 0.81012575 0.14774708 0.33471219 -0.33794771 0.75992186 -0.31967798 -1.22549952 -0.01159456], Predicted=0 X=[ 2.90610974e-01 3.15117476e-01 1.12231514e+00 1.42137993e+00 4.68175718e-01 1.09917519e+00 1.37995295e+00 1.26149319e+00 -5.84604641e-01 1.34184656e-03 -9.86811901e-01], Predicted=0 X=[ 1.35723709 -0.57787912 -0.44783612 1.50025143 0.33084916 2.80451574 1.37995295 1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=0 X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866 -0.73800677 -0.18637604 0.34263866 -0.26155273 -0.09286267], Predicted=0 X=[-1.3685852 -0.67710097 -0.77839428 -0.80674014 0.05619604 1.45200427 1.19168986 0.32522671 3.05813688 2.01686694 -0.33666701], Predicted=0 X=[-0.18344508 -0.28021359 -0.6131152 -0.95462421 -0.21845708 4.89208779 1.82707778 0.29178862 2.39582024 1.22818321 -0.90554379], Predicted=0 X=[-0.06493106 0.21589563 0.13064066 -0.70815075 -0.35578364 -1.48823805 0.60336772 -0.94542065 -0.6508363 0.35186795 1.20742712], Predicted=0 X=[-0.53898711 1.80344514 -2.10062693 -0.29407534 0.01042052 -0.07692173 0.13271 0.14131723 -0.58460464 0.61476253 -0.41793512], Predicted=0 X=[ 1.23872307 3.58943834 1.0396756 0.82984363 9.07397346 -0.13572658 2.08593952 1.42868363 -2.10793291 2.19213 -1.14934812], Predicted=0 X=[-1.3685852 -0.67710097 -0.69575474 -1.04335466 -0.4931102 -0.5473605 -1.3498618 -1.27980153 0.8062603 0.26423642 0.71981845], Predicted=0 X=[-1.01304317 -0.77632281 -0.11727796 -0.668715 -0.67621228 -0.5473605 -0.47914502 -0.89860732 1.26988195 1.66634084 0.55728222], Predicted=1 X=[-0.30195909 -0.18099175 0.37855928 0.02141068 5.68658499 1.92244304 1.47408449 0.52585524 0.01148034 -0.96260494 -0.90554379], Predicted=0 X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=0 X=[ 0.05358295 0.51356116 -1.0263129 -1.06307253 0.33084916 0.2171025 0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=0 X=[ 0.76466702 0.71200485 1.20495468 1.18476541 0.46817572 1.51080912 0.89752879 1.33840079 -1.44561627 0.26423642 -1.39315246], Predicted=0 X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=0 X=[ 0.88318104 1.10889223 -0.11727796 -0.55040774 -0.4931102 -0.78257989 -1.06746717 -0.86516923 -0.71706797 0.96528863 1.61376767], Predicted=0 X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=0 X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958 -0.45561214 -0.35691029 -0.12098299 0.527131 0.55728222], Predicted=0 X=[-0.65750113 1.50577961 -0.11727796 0.47492185 -0.17268156 -1.01779928 -0.76153965 -0.77154259 0.60756531 -1.40076257 1.93884012], Predicted=0 X=[ 0.29061097 0.11667379 1.28759423 -1.02363678 -0.67621228 -0.19453143 -0.92626985 -1.58074433 -0.78329963 -1.40076257 1.36996334], Predicted=0 X=[-0.06493106 -0.57787912 -0.77839428 -0.29407534 2.11609443 -0.31214112 -0.3614806 0.3586648 -1.04822629 -0.26155273 -1.55568868], Predicted=0 X=[-0.30195909 -0.57787912 -0.44783612 -0.29407534 -0.17268156 0.92276066 0.97989389 0.39210289 0.74002864 2.27976152 -0.82427568], Predicted=0 X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.394746 ], Predicted=0 X=[-1.3685852 0.31511748 -0.44783612 -0.45181836 -0.7219878 -0.78257989 -1.23219737 -1.13936156 0.8062603 -0.96260494 0.96362278], Predicted=0 X=[-0.77601514 0.51356116 -1.60478968 -0.31379322 0.28507364 -0.48855566 -0.24381617 0.24163149 0.14394366 -0.08628968 -0.90554379], Predicted=0 X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=0 X=[-0.77601514 -0.37943543 0.13064066 -1.02363678 -0.35578364 -0.78257989 0.67396638 -0.94542065 -0.58460464 -0.08628968 0.06967355], Predicted=0 X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=0 X=[-1.25007119 -0.87554465 1.28759423 -0.29407534 -0.2642326 0.51112673 -0.47914502 -0.17634461 1.0049553 -0.96260494 -0.82427568], Predicted=0 X=[ 0.64615301 -0.18099175 -0.36519658 -0.53068986 0.10197156 -1.25301866 -1.53812488 -0.84510638 -0.8495313 -0.34918426 0.71981845], Predicted=0 X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=0 X=[ 0.527639 -0.57787912 -0.28255704 0.35661459 0.05619604 0.39351704 1.61528181 0.86023613 0.93872363 -0.26155273 -0.82427568], Predicted=0 X=[-1.01304317 2.3987762 -0.03463842 0.2580252 0.01042052 -0.6649702 -0.45561214 -0.59766453 -0.98199462 -0.96260494 0.394746 ], Predicted=0 X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=0 X=[-0.89452915 1.60500145 -0.44783612 -0.42224154 -0.63043676 0.45232188 -0.14968462 -0.81166829 0.47510198 -0.17392121 0.63855033], Predicted=0 X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102 0.51112673 0.03857846 -0.87185685 -0.12098299 0.527131 0.15094166], Predicted=0 X=[-0.4204731 -0.18099175 -0.44783612 1.20448328 0.01042052 2.6281012 2.03887375 0.94383135 -0.05475133 -0.69971036 -0.41793512], Predicted=0 X=[ 1.23872307 -1.66931941 1.28759423 -0.37294685 0.10197156 -0.48855566 -0.12615174 0.19147436 0.34263866 -0.61207884 0.06967355], Predicted=0 X=[-0.18344508 -1.57009756 -0.28255704 -0.23492171 0.10197156 0.15829765 -0.59680945 -0.169657 0.93872363 -0.43681578 -0.33666701], Predicted=0 X=[-0.89452915 0.91044854 1.0396756 1.1058939 -0.17268156 1.51080912 1.68588046 0.99398848 -0.12098299 0.87765711 -0.66173945], Predicted=0 X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=0 X=[-0.18344508 -1.17321019 0.04800112 -0.94476527 -0.90508988 -0.48855566 -0.690941 -0.2097827 1.0049553 0.79002558 -0.33666701], Predicted=0 X=[-0.30195909 0.06706287 1.28759423 0.98758664 -0.4931102 1.27558973 -0.0320202 1.10099036 -0.71706797 0.43949948 -1.31188435], Predicted=0 X=[-0.65750113 0.11667379 -0.28255704 0.33689671 7.60915682 1.45200427 0.27390732 0.59273142 -0.58460464 -0.78734189 -0.9868119 ], Predicted=0 X=[ 2.66089123 0.01745194 1.28759423 -0.86589377 0.60550228 -1.48823805 -0.62034234 0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=0 X=[-0.65750113 -0.57787912 1.94871055 -0.98420103 7.42605474 -1.25301866 -0.99686851 -0.27665888 -0.18721466 -0.52444731 -0.41793512], Predicted=0 X=[ 0.64615301 -0.77632281 -0.36519658 -0.9250474 0.05619604 -1.13540897 -0.90273697 -0.53413216 0.60756531 -0.34918426 0.06967355], Predicted=0 X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=0 X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=0 X=[ 0.29061097 -0.28021359 0.46119882 -0.84617589 -0.44733468 -0.31214112 -0.33794771 -1.079173 0.60756531 -0.52444731 1.36996334], Predicted=0 X=[-0.65750113 0.41433932 -0.11727796 -0.96448315 -0.7219878 -0.6649702 -0.87920408 -1.60415099 0.14394366 -0.61207884 2.02010823], Predicted=1 X=[ 0.40912499 0.31511748 1.0396756 -0.27435747 -0.2642326 -1.89987197 -2.57357186 -1.14604918 -0.98199462 0.35186795 1.61376767], Predicted=0 X=[-0.65750113 -0.47865728 -0.03463842 -0.96448315 -0.44733468 -1.19421382 -0.78507254 -1.01229682 0.87249197 -0.61207884 0.55728222], Predicted=0 X=[-0.06493106 -1.37165388 0.13064066 -0.96448315 0.05619604 0.27590734 -0.50267791 -0.97551493 -0.78329963 2.01686694 0.47601411], Predicted=0 X=[ 1.4757511 0.51356116 0.2132802 0.19887157 -0.40155916 0.04068796 0.41510463 0.63285713 0.01148034 0.43949948 0.06967355], Predicted=0 X=[ 0.17209696 -0.18099175 2.11398963 -0.98420103 -0.40155916 0.27590734 -0.43207925 -0.74479212 1.0049553 -0.69971036 0.47601411], Predicted=0 X=[-0.89452915 -1.07398834 0.70911744 1.71714808 -0.58466124 -0.42975081 -0.33794771 0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=0 X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=0
#Making Probability Prediction
#This is called a probability prediction where given a new instance, the model returns the probability for each outcome class as a value between 0 and 1.
ynew = logreg.predict_proba(X)
# show the inputs and predicted outputs
for i in range(len(X)):
print("X=%s, Predicted=%s" % (X[i], ynew[i]))
X=[ 1.59426511 -0.47865728 0.29591974 -1.0039189 -0.17268156 0.2171025 -0.50267791 -0.41041123 -1.31315295 -1.13786799 -0.41793512], Predicted=[0.91610156 0.08389844] X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=[0.72301896 0.27698104] X=[-0.77601514 -0.9747665 1.28759423 -0.37294685 0.05619604 -1.07660412 -1.13806583 -0.71135403 0.54133365 -1.05023647 0.88235467], Predicted=[0.7245242 0.2754758] X=[ 1.35723709e+00 6.12783009e-01 -6.95754741e-01 1.69280668e-03 -4.93110199e-01 1.58297652e-01 -8.32138311e-01 -8.51793999e-01 -1.84300626e+00 -2.27707783e+00 1.36996334e+00], Predicted=[0.65078056 0.34921944] X=[-1.72412724 -0.72671189 -1.4395106 1.21434222 0.23929812 -0.25333627 -0.54974368 0.53923048 1.40234528 -0.96260494 0.23220977], Predicted=[0.70193938 0.29806062] X=[ 0.05358295 -0.37943543 -0.86103382 0.13971794 -0.21845708 -0.90018958 -0.97333563 -0.52410073 -0.58460464 3.15607678 0.71981845], Predicted=[0.42359505 0.57640495] X=[ 0.76466702 -0.87554465 1.28759423 -0.94476527 0.05619604 0.39351704 0.03857846 -0.27665888 1.40234528 -0.17392121 0.15094166], Predicted=[0.78073473 0.21926527] X=[-0.06493106 -0.0817699 0.29591974 0.35661459 0.4224002 0.9815655 1.26228852 0.61279427 -0.51837298 0.26423642 -0.82427568], Predicted=[0.93860418 0.06139582] X=[-0.30195909 -0.47865728 -0.28255704 1.67771232 0.23929812 -0.13572658 -0.47914502 1.44540267 -0.98199462 0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987] X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106] X=[ 1.4757511 -1.57009756 1.28759423 -1.02363678 -0.17268156 0.45232188 0.50923618 -0.2097827 -0.38590965 -0.08628968 -0.66173945], Predicted=[0.87177492 0.12822508] X=[ 0.64615301 -0.57787912 -0.6131152 0.47492185 -0.85931436 -0.72377504 -0.62034234 -0.31009697 -1.37938461 -0.69971036 0.71981845], Predicted=[0.59520552 0.40479448] X=[-5.38987115e-01 2.15895632e-01 -1.43951060e+00 2.18589450e-01 1.93522599e-01 1.15798004e+00 1.23875564e+00 6.26169507e-01 -1.20982993e-01 1.34184656e-03 -1.23061624e+00], Predicted=[0.94956033 0.05043967] X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=[0.36458132 0.63541868] X=[ 1.71277913 1.10889223 3.02302457 0.82984363 -0.035355 -0.13572658 0.72103215 1.19461701 -0.6508363 0.70239405 -0.90554379], Predicted=[0.95794298 0.04205702] X=[ 0.17209696 -1.37165388 -0.11727796 0.5143576 -0.31000812 1.09917519 0.06211135 0.52585524 0.21017533 -0.52444731 -0.90554379], Predicted=[0.78436343 0.21563657] X=[-1.25007119 0.8112267 1.37023377 -1.06307253 3.71823763 1.62841881 0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.99022192 0.00977808] X=[-1.13155718 -1.57009756 -0.44783612 -0.98420103 -0.40155916 0.04068796 -1.30279603 -1.09923585 0.93872363 -0.61207884 0.31347789], Predicted=[0.59114824 0.40885176] X=[-0.53898711 -0.18099175 0.79175698 1.22420116 -0.58466124 1.68722366 2.15653818 1.12774083 -0.71706797 -0.96260494 -1.31188435], Predicted=[0.94213931 0.05786069] X=[-0.77601514 0.8112267 -0.6131152 1.34250842 0.23929812 1.09917519 1.47408449 1.19461701 0.40887032 -0.26155273 -1.23061624], Predicted=[0.93818429 0.06181571] X=[ 0.76466702 1.00967039 1.86607101 0.65238274 0.4224002 -1.19421382 0.74456503 0.67632664 -0.38590965 1.40344626 -0.49920323], Predicted=[0.93541389 0.06458611] X=[-0.06493106 -0.9747665 0.13064066 -0.19548596 0.37662468 1.04037035 0.10917712 -0.38700457 -0.58460464 0.43949948 0.394746 ], Predicted=[0.71997877 0.28002123] X=[-1.25007119 -1.47087572 -0.94367336 1.24391904 0.55972676 -0.6649702 1.05049255 0.52585524 0.87249197 -0.61207884 0.96362278], Predicted=[0.64101397 0.35898603] X=[-1.01304317 0.11667379 -1.10895244 1.22420116 -0.035355 0.56993158 1.14462409 1.06086466 0.93872363 -0.61207884 -0.82427568], Predicted=[0.89192931 0.10807069] X=[-0.53898711 -0.57787912 0.04800112 -0.90532952 0.51395124 -0.37094597 -0.80860543 0.62616951 4.1178435 0.70239405 -0.17413078], Predicted=[0.88422787 0.11577213] X=[ 0.17209696 0.51356116 -0.11727796 -1.02363678 0.33084916 0.15829765 -0.00848731 -1.14604918 -0.38590965 -1.8389202 0.55728222], Predicted=[0.86067665 0.13932335] X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542] X=[-0.53898711 -0.28021359 0.6264779 0.43548609 -0.17268156 1.27558973 0.81516369 0.82679804 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.96784685 0.03215315] X=[-0.53898711 -0.0817699 -0.36519658 0.86927938 -0.81353884 -1.07660412 -0.47914502 -0.15628176 -0.05475133 -1.05023647 0.55728222], Predicted=[0.61648915 0.38351085] X=[-0.30195909 0.41433932 -0.03463842 -0.76730438 0.28507364 0.27590734 1.90944288 -0.29003411 -0.25344632 0.96528863 -0.41793512], Predicted=[0.93596567 0.06403433] X=[ 1.12020906 0.61278301 0.13064066 -0.90532952 -0.17268156 -1.60584774 0.67396638 -1.079173 -0.51837298 -0.69971036 1.28869523], Predicted=[0.77026077 0.22973923] X=[-0.06493106 -0.0817699 0.13064066 0.27774308 0.10197156 2.39288182 1.37995295 0.62616951 0.34263866 -0.52444731 -0.82427568], Predicted=[0.90667868 0.09332132] X=[-0.53898711 0.11667379 -1.0263129 0.6425238 -0.21845708 0.04068796 -0.45561214 -0.22984555 -1.31315295 -1.31313104 0.34056725], Predicted=[0.79054732 0.20945268] X=[ 0.17209696 0.71200485 -0.1999175 -0.90532952 1.06325748 -1.19421382 0.55630195 0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.98540695 0.01459305] X=[ 0.05358295 0.31511748 0.04800112 -0.94476527 -0.63043676 -0.72377504 -0.24381617 -0.7782302 1.20365029 -0.17392121 0.96362278], Predicted=[0.69906594 0.30093406] X=[-1.01304317 0.61278301 2.69246641 1.87489109 0.01042052 -0.5473605 0.60336772 1.29493128 -0.31967798 0.08897337 -1.39315246], Predicted=[0.9556556 0.0443444] X=[-1.13155718 1.35694684 -1.68742922 -0.98420103 -0.2642326 -1.4294332 -1.74992086 -0.61103976 0.67379698 0.26423642 -0.01159456], Predicted=[0.91866367 0.08133633] X=[-0.53898711 -0.9747665 -0.44783612 2.10164667 0.05619604 1.04037035 0.01504558 1.07423989 0.40887032 -1.22549952 -0.01159456], Predicted=[0.61393937 0.38606063] X=[ 0.76466702 -0.77632281 1.28759423 -1.0039189 -0.67621228 -1.60584774 -0.97333563 -0.74479212 -0.8495313 1.14055168 0.47601411], Predicted=[0.77767166 0.22232834] X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156 4.09822236 0.95636101 -0.71469784 -0.98199462 0.87765711 0.63855033], Predicted=[0.58011397 0.41988603] X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=[0.46478745 0.53521255] X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784] X=[ 1.59426511 -0.0817699 0.79175698 -0.94476527 -0.4931102 -0.25333627 -0.24381617 -0.81166829 -0.58460464 0.08897337 1.45123145], Predicted=[0.6523028 0.3476972] X=[ 0.05358295 -0.18099175 -0.53047566 -0.43210048 -0.67621228 -0.90018958 -1.37339468 -1.04907872 -0.45214131 -0.87497341 0.80108656], Predicted=[0.60255098 0.39744902] X=[ 1.00169505 0.11667379 -0.36519658 -0.31379322 0.6512778 -0.48855566 0.41510463 0.56598095 1.99843026 0.87765711 -0.17413078], Predicted=[0.86872203 0.13127797] X=[-1.96115527 -0.37943543 -1.52215014 0.13971794 -0.12690604 -0.19453143 -0.10261885 -0.08271797 0.34263866 -0.08628968 -0.49920323], Predicted=[0.86422926 0.13577074] X=[-0.30195909 2.79566358 -1.52215014 0.71153637 -0.40155916 0.15829765 0.43863752 0.80004757 0.60756531 0.26423642 -0.90554379], Predicted=[0.94913355 0.05086645] X=[-1.84264125 0.8112267 -0.53047566 -0.01802507 -0.81353884 0.27590734 -0.14968462 -0.72472926 1.20365029 -0.78734189 0.88235467], Predicted=[0.63886541 0.36113459] X=[-1.83445077e-01 2.20033252e+00 2.13280202e-01 1.00730452e+00 2.29919651e+00 -1.01779928e+00 -1.09100005e+00 8.00047567e-01 -5.18372977e-01 1.34184656e-03 -7.43007566e-01], Predicted=[0.98252562 0.01747438] X=[ 3.01643326 -0.47865728 1.86607101 1.98333941 0.78860436 1.01096792 3.38024824 2.3248244 -0.58460464 0.1766049 -0.9868119 ], Predicted=[0.92957302 0.07042698] X=[ 1.35723709 1.40655776 0.2132802 -0.27435747 -0.40155916 -0.07692173 -0.87920408 -0.67791594 -0.38590965 0.70239405 1.45123145], Predicted=[0.58141987 0.41858013] X=[-0.77601514 1.30733592 -0.94367336 -0.88561164 -1.04241644 -1.78226228 -1.93818394 -1.58743194 -0.98199462 2.63028763 2.02010823], Predicted=[0.48436295 0.51563705] X=[ 0.29061097 0.51356116 -0.28255704 -0.60956137 -0.53888572 -0.31214112 -0.8556712 -0.94542065 -0.71706797 -1.57602562 1.45123145], Predicted=[0.73716616 0.26283384] X=[ 3.01643326 -1.07398834 1.78343147 -0.94476527 0.14774708 -1.25301866 -1.04393428 0.29178862 -1.11445795 1.05292016 -0.17413078], Predicted=[0.91871879 0.08128121] X=[ 0.76466702 -0.77632281 1.12231514 2.07206986 0.28507364 0.92276066 1.16815698 1.80987784 -0.6508363 1.14055168 -0.9868119 ], Predicted=[0.8591648 0.1408352] X=[-0.65750113 0.21589563 -0.77839428 0.04112856 -0.2642326 0.15829765 0.06211135 0.32522671 0.21017533 -0.17392121 -0.82427568], Predicted=[0.92473653 0.07526347] X=[ 0.17209696 -0.28021359 -0.11727796 0.5143576 0.01042052 1.21678489 2.50953147 0.49241715 0.40887032 0.08897337 -0.09286267], Predicted=[0.80504939 0.19495061] X=[ 1.71277913 -0.0817699 0.95703606 -1.0039189 0.10197156 -1.60584774 -1.56165777 0.12459818 -0.71706797 1.05292016 -0.17413078], Predicted=[0.94646083 0.05353917] X=[-0.65750113 0.71200485 -0.28255704 -0.13633233 -0.4931102 -1.60584774 -0.97333563 -0.44384932 0.54133365 -0.69971036 0.394746 ], Predicted=[0.82150271 0.17849729] X=[ 0.64615301 2.10111067 -0.77839428 1.71714808 -0.7219878 -0.07692173 0.34450598 0.42554098 -0.38590965 0.1766049 1.20742712], Predicted=[0.54720275 0.45279725] X=[-0.30195909 0.11667379 -0.1999175 -0.49125411 -0.85931436 0.2171025 -0.99686851 -1.2296444 0.34263866 0.96528863 1.69503579], Predicted=[0.29804184 0.70195816] X=[-1.3685852 1.05928131 -2.43118509 1.22420116 -0.53888572 -0.78257989 -0.54974368 0.79335995 0.60756531 1.22818321 -0.49920323], Predicted=[0.82937536 0.17062464] X=[-0.77601514 -1.27243203 -0.53047566 0.90871513 -0.4931102 0.62873642 -0.5262108 0.66629521 -0.45214131 -0.96260494 -1.14934812], Predicted=[0.86244192 0.13755808] X=[-0.18344508 -1.27243203 -0.11727796 0.29746096 -0.53888572 -1.07660412 -1.3498618 0.36535242 0.67379698 -1.57602562 -0.41793512], Predicted=[0.83077105 0.16922895] X=[ 1.00169505 0.71200485 1.0396756 1.06645815 1.93299236 1.51080912 1.05049255 1.28155604 -2.17416458 -0.17392121 -1.23061624], Predicted=[0.98588144 0.01411856] X=[ 0.76466702 -0.87554465 0.54383836 0.13971794 0.46817572 0.86395581 -0.66740811 0.45897907 -0.8495313 0.26423642 -0.49920323], Predicted=[0.88856298 0.11143702] X=[ 0.29061097 2.69644174 -1.68742922 -0.9250474 1.24635956 -0.84138474 0.62690061 -0.00915417 -1.44561627 0.79002558 -1.06808001], Predicted=[0.99344167 0.00655833] X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=[0.62503206 0.37496794] X=[-1.01304317 -0.47865728 -1.52215014 0.65238274 0.10197156 3.86300298 1.61528181 0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=[0.91770973 0.08229027] X=[ 0.88318104 0.21589563 -0.53047566 0.82984363 -0.31000812 -0.25333627 -0.45561214 1.3785265 0.54133365 -1.66365715 -0.9868119 ], Predicted=[0.94705158 0.05294842] X=[-0.47973011 -1.37165388 0.70911744 -1.02363678 0.1935226 0.92276066 -0.22028328 -0.95879588 0.54133365 1.75397237 0.47601411], Predicted=[0.56366375 0.43633625] X=[-0.77601514 -0.57787912 -0.28255704 1.18476541 0.37662468 4.2746369 0.32097309 1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=[0.86611613 0.13388387] X=[ 0.76466702 -0.18099175 -0.6131152 2.35797907 1.74989028 -0.13572658 0.01504558 2.3649501 -0.12098299 -0.87497341 -1.39315246], Predicted=[0.96658364 0.03341636] X=[-0.53898711 0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835 -0.45561214 -0.71135403 0.87249197 0.1766049 -0.09286267], Predicted=[0.85346728 0.14653272] X=[-0.77601514 -0.28021359 0.37855928 0.29746096 -0.035355 1.09917519 1.63881469 0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=[0.94541732 0.05458268] X=[-0.30195909 0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=[0.97061772 0.02938228] X=[ 0.40912499 0.31511748 1.37023377 1.3622263 0.46817572 1.92244304 1.33288718 1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=[0.95723049 0.04276951] X=[ 0.527639 -0.72671189 -0.1999175 -0.9250474 0.6512778 -0.07692173 -0.66740811 0.75992186 3.52175853 1.75397237 -0.01159456], Predicted=[0.84721584 0.15278416] X=[-0.65750113 -1.37165388 0.46119882 -1.02363678 -0.08113052 -0.5473605 -0.5262108 -0.67791594 0.47510198 0.35186795 -0.17413078], Predicted=[0.81554222 0.18445778] X=[-0.77601514 0.61278301 -0.69575474 1.12561178 0.60550228 -0.13572658 0.76809792 1.22471129 -0.31967798 0.61476253 -1.47442057], Predicted=[0.96900398 0.03099602] X=[-0.65750113 -0.0817699 1.45287331 0.23830733 0.14774708 -0.01811689 1.45055161 0.48572954 -0.18721466 0.43949948 -0.90554379], Predicted=[0.952167 0.047833] X=[ 1.71277913 -0.57787912 0.04800112 -1.04335466 -0.12690604 -0.90018958 -0.5262108 -0.44384932 -1.24692128 -0.17392121 -0.2553989 ], Predicted=[0.89829184 0.10170816] X=[ 0.40912499 -0.67710097 0.04800112 1.08617602 -0.12690604 0.09949281 1.75647912 0.72648377 -0.6508363 0.08897337 -0.74300757], Predicted=[0.83810367 0.16189633] X=[-0.53898711 -0.57787912 -0.28255704 0.94815089 0.01042052 1.04037035 0.25037443 0.25500673 0.14394366 -1.31313104 0.23220977], Predicted=[0.70232708 0.29767292] X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808] X=[ 0.76466702 -0.57787912 -0.03463842 0.06084644 -0.44733468 0.56993158 -0.00848731 -0.04259226 0.077712 1.66634084 0.71981845], Predicted=[0.51539612 0.48460388] X=[-1.01304317 0.61278301 -0.77839428 -0.19548596 0.6512778 -0.72377504 -0.29088194 0.3586648 0.40887032 -0.43681578 -1.23061624], Predicted=[0.97646415 0.02353585] X=[ 0.05358295 0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958 0.65043349 -0.65116547 -0.91576296 0.43949948 -0.58047134], Predicted=[0.91787244 0.08212756] X=[ 1.94980715 -0.37943543 0.46119882 0.79040787 -0.08113052 -0.90018958 0.08564423 1.12774083 0.077712 0.35186795 -0.41793512], Predicted=[0.85494615 0.14505385] X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.79718631], Predicted=[0.90289357 0.09710643] X=[ 0.05358295 -1.37165388 0.37855928 -1.06307253 -0.21845708 -0.78257989 -1.3498618 -1.20289393 -1.04822629 0.43949948 0.71981845], Predicted=[0.66909637 0.33090363] X=[ 0.40912499 1.50577961 -0.77839428 0.06084644 0.55972676 0.27590734 0.57983483 0.32522671 0.077712 -0.69971036 -0.49920323], Predicted=[0.95051832 0.04948168] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[-0.65750113 2.15072159 -0.94367336 -0.90532952 0.01042052 -0.25333627 0.03857846 -0.37697314 1.33611362 0.43949948 -0.09286267], Predicted=[0.9315407 0.0684593] X=[ 0.64615301 0.61278301 -0.28255704 1.67771232 -0.40155916 2.04005274 0.72103215 0.98730086 0.40887032 -1.05023647 -0.09286267], Predicted=[0.67511076 0.32488924] X=[-1.01304317 -1.66931941 1.12231514 0.82984363 0.28507364 1.98124789 0.22684155 0.59273142 -1.84300626 -1.31313104 -0.9868119 ], Predicted=[0.93421112 0.06578888] X=[-0.06493106 0.31511748 -0.69575474 0.81012575 -0.12690604 -0.31214112 0.62690061 1.06086466 1.13741862 0.527131 0.0290395 ], Predicted=[0.85900543 0.14099457] X=[ 0.64615301 0.71200485 -1.10895244 1.48053356 0.37662468 1.62841881 2.13300529 1.62262454 -0.51837298 0.08897337 -1.31188435], Predicted=[0.94816474 0.05183526] X=[ 0.76466702 4.23438032 -1.93534784 1.30307267 -0.08113052 0.51112673 1.78001201 1.13108464 -0.58460464 0.08897337 -1.14934812], Predicted=[0.97358266 0.02641734] X=[ 1.59426511 0.61278301 -0.36519658 -0.23492171 1.38368612 -0.95899443 -1.09100005 -0.88523209 -1.5780796 -0.87497341 1.61376767], Predicted=[0.75270608 0.24729392] X=[-1.72412724 0.11667379 0.37855928 -1.02363678 -0.76776332 -0.25333627 -0.14968462 -1.69777763 0.60756531 -1.13786799 1.53249956], Predicted=[0.58382876 0.41617124] X=[ 0.17209696 -1.07398834 0.70911744 -1.06307253 1.3379106 -0.95899443 -1.58519066 -1.0022654 0.87249197 1.14055168 0.71981845], Predicted=[0.662475 0.337525] X=[-0.30195909 -0.0817699 0.6264779 -1.0039189 0.28507364 -1.13540897 0.08564423 0.3586648 1.53480861 -0.17392121 -0.41793512], Predicted=[0.96991851 0.03008149] X=[-1.25007119 0.21589563 -0.86103382 -0.96448315 -0.53888572 0.09949281 -0.40854637 -1.77802905 -1.51184794 -1.31313104 1.28869523], Predicted=[0.71086683 0.28913317] X=[ 2.54237721 1.50577961 -0.28255704 -0.96448315 0.1935226 -1.66465259 0.86222946 0.3586648 -0.51837298 -0.34918426 -0.66173945], Predicted=[0.98203203 0.01796797] X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233 3.53513555 -0.48855566 -0.80860543 0.45897907 -0.98199462 0.43949948 -0.90554379], Predicted=[0.98122198 0.01877802] X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=[0.75148471 0.24851529] X=[-0.18344508 -0.18099175 -0.36519658 -0.11661445 -0.9508654 -0.5473605 -1.514592 -0.37697314 0.60756531 0.35186795 0.394746 ], Predicted=[0.5930092 0.4069908] X=[-0.89452915 -1.37165388 -0.69575474 -1.0039189 0.05619604 0.09949281 0.81516369 -0.5107255 1.07118696 -0.26155273 -0.41793512], Predicted=[0.84295871 0.15704129] X=[ 0.17209696 -0.18099175 -0.6131152 0.86927938 -0.31000812 0.09949281 1.07402544 1.28489985 1.86596693 0.79002558 -0.17413078], Predicted=[0.79994587 0.20005413] X=[ 0.40912499 0.41433932 0.54383836 0.45520397 -0.35578364 0.56993158 0.36803886 0.55260571 0.077712 -0.17392121 -0.09286267], Predicted=[0.86739046 0.13260954] X=[-0.53898711 1.40655776 1.0396756 0.39605034 0.1935226 1.33439458 0.97989389 0.30850767 -0.05475133 -0.26155273 -0.66173945], Predicted=[0.94078088 0.05921912] X=[-2.3166973 0.56317209 -1.60478968 -1.0039189 -0.44733468 1.98124789 0.69749926 -0.63779023 1.86596693 -0.26155273 -0.03868393], Predicted=[0.84023962 0.15976038] X=[ 0.527639 3.7382711 -1.10895244 0.75097212 1.15480852 -0.42975081 1.73294624 1.02742657 -1.51184794 0.79002558 -1.06808001], Predicted=[0.99281942 0.00718058] X=[ 0.527639 0.61278301 -1.0263129 -0.62927925 0.1935226 -1.25301866 -0.05555308 -0.14290653 0.40887032 -0.43681578 -0.2553989 ], Predicted=[0.92295732 0.07704268] X=[-1.13155718 0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=[0.93507196 0.06492804] X=[-0.06493106 -0.47865728 0.70911744 0.19887157 -0.08113052 1.21678489 1.19168986 0.59273142 0.21017533 -0.08628968 -0.9868119 ], Predicted=[0.9156761 0.0843239] X=[-0.06493106 1.70422329 -0.44783612 3.87625557 -0.67621228 -0.48855566 -0.38501348 2.98355474 -0.8495313 -0.61207884 0.06967355], Predicted=[0.91914156 0.08085844] X=[-0.53898711 -0.57787912 0.37855928 0.53407548 -0.08113052 -0.01811689 -0.26734905 -0.25659603 -1.44561627 -1.66365715 0.394746 ], Predicted=[0.81903475 0.18096525] X=[ 3.49048932 6.46687182 0.95703606 0.43548609 0.28507364 -0.07692173 1.14462409 1.7965026 -0.45214131 0.87765711 -0.2553989 ], Predicted=[0.99582886 0.00417114] X=[ 0.17209696 -0.18099175 1.0396756 1.80587852 -0.40155916 1.51080912 0.76809792 1.52899789 -1.64431127 -1.22549952 -1.39315246], Predicted=[0.9492885 0.0507115] X=[-0.06493106 -0.47865728 -0.11727796 -0.94476527 -0.90508988 0.45232188 0.20330866 -1.21292535 0.67379698 0.43949948 1.61376767], Predicted=[0.36772172 0.63227828] X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635] X=[-1.25007119 0.01745194 0.04800112 -0.47153623 -0.67621228 0.27590734 -0.92626985 -1.48043006 1.33611362 -0.87497341 1.85757201], Predicted=[0.29051929 0.70948071] X=[-0.18344508 -0.47865728 -0.03463842 0.33689671 0.10197156 0.56993158 0.88576235 0.23160006 -0.51837298 0.26423642 -0.33666701], Predicted=[0.85608875 0.14391125] X=[ 0.05358295 0.01745194 0.29591974 0.53407548 -0.40155916 -1.13540897 -1.46752623 0.25835054 -0.91576296 0.43949948 0.47601411], Predicted=[0.8215141 0.1784859] X=[ 0.40912499 -0.47865728 -0.69575474 2.44670951 1.7956658 -0.95899443 -0.64387523 2.14425872 -0.58460464 0.1766049 -1.47442057], Predicted=[0.95364973 0.04635027] X=[-1.13155718 0.91044854 -0.11727796 -0.94476527 -0.76776332 0.33471219 -0.8556712 -1.62755765 1.46857694 0.527131 1.7763039 ], Predicted=[0.34112611 0.65887389] X=[ 0.64615301 1.20811407 -0.36519658 -0.19548596 -0.08113052 -0.25333627 -0.38501348 -0.00915417 0.74002864 0.08897337 0.47601411], Predicted=[0.8282491 0.1717509] X=[ 2.06832116 -0.18099175 0.6264779 -0.82645801 0.14774708 -0.37094597 -0.64387523 0.02428392 -1.51184794 -0.43681578 -0.41793512], Predicted=[0.94962052 0.05037948] X=[-1.3685852 1.20811407 0.13064066 -0.25463959 -0.90508988 -1.07660412 -0.59680945 -1.17279965 -0.05475133 1.57870931 1.53249956], Predicted=[0.5384893 0.4615107] X=[ 0.76466702 -0.0817699 3.76678043 1.09603496 -0.2642326 0.92276066 0.48570329 1.45877791 -1.37938461 -0.43681578 -1.47442057], Predicted=[0.97551022 0.02448978] X=[-1.25007119 -0.37943543 0.46119882 -0.96448315 0.37662468 0.09949281 0.46217041 -0.27665888 0.14394366 0.26423642 -0.9868119 ], Predicted=[0.96127021 0.03872979] X=[-1.25007119 0.3647284 -1.19159198 2.56501677 -0.67621228 -0.42975081 -0.76153965 1.00736371 -1.44561627 -0.78734189 0.0290395 ], Predicted=[0.75912642 0.24087358] X=[-0.65750113 -0.9747665 -0.77839428 -0.58984349 0.33084916 -0.90018958 -0.45561214 -0.09943701 -0.51837298 0.26423642 -1.06808001], Predicted=[0.94458755 0.05541245] X=[-0.18344508 2.59721989 -0.44783612 -0.19548596 0.6512778 -0.84138474 -0.78507254 0.29178862 0.54133365 -1.05023647 -1.23061624], Predicted=[0.98519003 0.01480997] X=[ 0.17209696 -0.47865728 -0.11727796 -0.90532952 0.10197156 -0.60616535 -0.59680945 -0.84510638 -0.51837298 -0.17392121 0.47601411], Predicted=[0.80938276 0.19061724] X=[ 0.40912499 0.11667379 1.61815239 2.31854331 0.05619604 1.39319943 1.02695966 1.72962642 -0.6508363 0.26423642 -0.74300757], Predicted=[0.86676029 0.13323971] X=[ 0.88318104 0.01745194 -1.35687106 -0.94476527 0.01042052 -0.42975081 -0.50267791 -0.38366076 -0.71706797 -0.52444731 -0.41793512], Predicted=[0.91761716 0.08238284] X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129] X=[-0.30195909 -0.87554465 0.6264779 0.49463972 0.01042052 0.92276066 0.72103215 0.45897907 -0.31967798 0.70239405 -0.58047134], Predicted=[0.84371198 0.15628802] X=[-1.48709922 0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332 -2.55003897 -0.54416359 1.13741862 -1.22549952 -1.06808001], Predicted=[0.93662512 0.06337488] X=[-1.01304317 -0.77632281 -0.03463842 -1.04335466 -0.31000812 0.56993158 -0.29088194 -1.17614346 0.8062603 -0.34918426 0.88235467], Predicted=[0.60743213 0.39256787] X=[-0.06493106 -0.77632281 0.37855928 -0.3335111 -0.2642326 -0.48855566 -0.83213831 -0.00915417 1.20365029 0.79002558 0.15094166], Predicted=[0.73414788 0.26585212] X=[ 0.29061097 -0.47865728 0.46119882 1.4410978 0.55972676 -0.5473605 0.79163081 1.17789797 -1.90923792 -0.26155273 -1.23061624], Predicted=[0.95938535 0.04061465] X=[ 1.12020906 1.10889223 -0.6131152 0.69181849 0.60550228 -0.13572658 1.00342678 0.49241715 -0.98199462 -0.61207884 0.31347789], Predicted=[0.90882518 0.09117482] X=[ 0.17209696 -1.27243203 0.04800112 -0.98420103 -0.31000812 -0.84138474 0.90929523 -0.44384932 0.87249197 1.14055168 0.23220977], Predicted=[0.73953786 0.26046214] X=[-0.4204731 -0.67710097 0.54383836 0.1791537 -0.21845708 0.80515096 -0.54974368 -0.45053694 0.14394366 -0.52444731 0.394746 ], Predicted=[0.59684179 0.40315821] X=[ 1.12020906 -0.28021359 0.29591974 -1.06307253 -0.12690604 -1.48823805 -1.37339468 -0.91867018 -0.71706797 -0.96260494 0.71981845], Predicted=[0.8188768 0.1811232] X=[ 0.05358295 0.41433932 -0.6131152 -0.80674014 -0.7219878 -1.4294332 -0.83213831 -0.99223397 -0.8495313 -0.61207884 0.47601411], Predicted=[0.82315918 0.17684082] X=[-1.13155718 -0.87554465 0.29591974 -1.10250829 -0.85931436 -1.89987197 -2.76183494 -1.44699197 -0.6508363 -1.57602562 0.23220977], Predicted=[0.80082679 0.19917321] X=[-0.89452915 0.61278301 -0.53047566 -0.74758651 -0.99664092 -0.90018958 -0.78507254 -1.14604918 1.40234528 1.57870931 1.36996334], Predicted=[0.41475488 0.58524512] X=[-0.30195909 -0.18099175 1.0396756 0.10028219 0.05619604 1.39319943 1.05049255 0.63954474 0.077712 -0.34918426 -0.9868119 ], Predicted=[0.9502011 0.0497989] X=[-0.30195909 0.71200485 -0.6131152 -0.72786863 -0.035355 -0.95899443 -0.22028328 -1.50718053 0.34263866 -0.08628968 2.02010823], Predicted=[0.47650633 0.52349367] X=[-2.55372533 3.88710387 -2.01798739 -1.06307253 -1.179743 -1.78226228 -3.04422957 -2.27625656 0.74002864 -1.31313104 2.5077169 ], Predicted=[0.64015514 0.35984486] X=[ 0.88318104 0.11667379 0.70911744 -1.0039189 -0.4931102 -1.01779928 -1.23219737 -1.079173 -1.31315295 -0.87497341 0.63855033], Predicted=[0.82433195 0.17566805] X=[-0.77601514 1.90266698 -1.0263129 -1.06307253 -0.08113052 -1.31182351 -0.94980274 -0.19306366 -0.31967798 -0.26155273 -1.06808001], Predicted=[0.98732913 0.01267087] X=[ 1.94980715 -0.87554465 1.20495468 -1.04335466 -0.90508988 -0.72377504 -1.89111817 -0.73141688 -1.90923792 0.08897337 -0.01159456], Predicted=[0.80102484 0.19897516] X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155] X=[-0.4204731 0.91044854 -0.03463842 -0.57012562 -0.44733468 -0.72377504 -1.09100005 -0.8919197 -0.05475133 -0.96260494 0.55728222], Predicted=[0.81710629 0.18289371] X=[ 0.17209696 -1.66931941 -0.11727796 -0.35322897 0.51395124 1.39319943 0.13271 0.52585524 2.39582024 -0.43681578 -0.90554379], Predicted=[0.81894501 0.18105499] X=[-1.01304317 -0.28021359 0.54383836 -0.13633233 0.28507364 1.21678489 0.32097309 -0.01584179 -0.18721466 3.41897136 -0.01159456], Predicted=[0.78895098 0.21104902] X=[-0.65750113 -0.87554465 -0.36519658 -0.86589377 -1.08819196 -0.13572658 -0.99686851 -1.67437097 -0.98199462 0.43949948 1.85757201], Predicted=[0.32864587 0.67135413] X=[ 0.88318104 0.41433932 2.03135009 2.04249304 0.1935226 0.45232188 0.57983483 1.96369304 -0.25344632 0.43949948 -1.06808001], Predicted=[0.93372694 0.06627306] X=[ 0.527639 -0.57787912 0.29591974 1.79601958 0.10197156 2.04005274 1.52115026 1.65940644 0.40887032 2.45502457 -0.90554379], Predicted=[0.71758419 0.28241581] X=[ 2.06832116e+00 -7.76322810e-01 7.09117443e-01 -9.64483150e-01 -2.18457080e-01 -1.81168871e-02 -3.14414825e-01 -5.10725497e-01 -5.18372977e-01 1.34184656e-03 7.19818445e-01], Predicted=[0.721272 0.278728] X=[ 0.40912499 -0.77632281 -0.94367336 -0.94476527 -0.08113052 -1.07660412 -0.87920408 0.22825626 1.20365029 0.35186795 -0.41793512], Predicted=[0.90691699 0.09308301] X=[ 0.76466702 -0.18099175 -0.69575474 -0.9250474 -0.35578364 -0.37094597 -0.22028328 -0.30340935 1.7335036 0.61476253 -0.09286267], Predicted=[0.72669374 0.27330626] X=[ 0.05358295 1.30733592 -0.94367336 -0.43210048 -0.67621228 -1.48823805 -0.8556712 -0.34353506 -1.24692128 3.24370831 0.88235467], Predicted=[0.81594067 0.18405933] X=[ 0.29061097 -0.67710097 -0.53047566 0.43548609 0.46817572 -0.5473605 -0.64387523 0.52585524 -1.5780796 0.26423642 -0.82427568], Predicted=[0.93402953 0.06597047] X=[-0.30195909 -0.77632281 0.37855928 0.29746096 0.28507364 -0.31214112 0.15624289 0.22491245 0.87249197 0.61476253 0.394746 ], Predicted=[0.73521913 0.26478087] X=[-0.06493106 -0.67710097 -0.53047566 -0.84617589 -0.7219878 -0.5473605 0.01504558 -1.34667771 -0.18721466 1.05292016 1.69503579], Predicted=[0.36367472 0.63632528] X=[ 1.4757511 0.51356116 -0.94367336 -0.23492171 0.05619604 -0.6649702 0.29744021 0.41550955 0.21017533 -0.17392121 -0.17413078], Predicted=[0.9104056 0.0895944] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[-0.30195909 -0.37943543 -0.44783612 -0.90532952 -0.81353884 0.2171025 -0.14968462 -0.7381045 1.0049553 -0.26155273 0.71981845], Predicted=[0.65074355 0.34925645] X=[ 0.29061097 -1.57009756 -0.28255704 -0.64899712 -1.27129404 -1.19421382 -2.38530877 -1.33330247 -1.11445795 0.26423642 1.126159 ], Predicted=[0.33320882 0.66679118] X=[ 0.29061097 -0.18099175 0.29591974 -0.17576808 -0.9508654 -0.25333627 -0.78507254 -1.07248538 -0.8495313 -1.40076257 1.69503579], Predicted=[0.46935714 0.53064286] X=[ 0.29061097 0.61278301 4.34525721 -0.98420103 5.86968707 0.04068796 -0.92626985 -0.38366076 -1.77677459 0.08897337 -0.9868119 ], Predicted=[0.99758627 0.00241373] X=[ 1.35723709 0.8112267 0.79175698 0.73125424 0.33084916 -0.37094597 0.17977578 1.39524554 1.40234528 -0.26155273 -0.82427568], Predicted=[0.94035216 0.05964784] X=[-0.53898711 0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928 -0.38501348 -0.81166829 1.13741862 1.92923542 1.61376767], Predicted=[0.38915668 0.61084332] X=[ 0.88318104 -0.67710097 0.87439652 -0.88561164 -0.44733468 -1.48823805 -0.45561214 -0.91198256 -1.18068962 1.84160389 1.85757201], Predicted=[0.59169974 0.40830026] X=[ 1.35723709 -0.9747665 1.28759423 -0.90532952 0.69705332 -1.48823805 0.15624289 0.05772201 0.27640699 -0.08628968 -0.41793512], Predicted=[0.93857711 0.06142289] X=[ 0.29061097 -0.77632281 0.29591974 -0.96448315 0.14774708 -0.42975081 -0.22028328 -0.59097691 -0.25344632 0.26423642 0.23220977], Predicted=[0.8415718 0.1584282] X=[-0.30195909 -0.28021359 0.2132802 0.33689671 -0.035355 1.09917519 0.97989389 0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=[0.94822202 0.05177798] X=[ 0.05358295 0.11667379 -1.4395106 0.08056431 -0.53888572 1.7460285 1.73294624 0.49241715 -0.71706797 -0.87497341 -1.23061624], Predicted=[0.94150488 0.05849512] X=[-0.4204731 0.11667379 1.53551285 -0.9250474 -0.53888572 0.33471219 1.28582141 -0.60100834 0.40887032 0.87765711 -0.09286267], Predicted=[0.85617047 0.14382953] X=[-0.65750113 -0.28021359 0.87439652 -0.9250474 -0.99664092 0.04068796 -0.5262108 -1.56402528 -0.05475133 -0.78734189 1.61376767], Predicted=[0.48088935 0.51911065] X=[-1.01304317 -0.18099175 -0.11727796 -0.57012562 -0.81353884 -0.37094597 -0.59680945 -0.94542065 1.40234528 1.92923542 1.45123145], Predicted=[0.35202578 0.64797422] X=[ 0.17209696 0.8112267 -0.28255704 -0.27435747 -0.2642326 0.27590734 0.10917712 -0.76819878 0.93872363 -0.61207884 1.36996334], Predicted=[0.54635668 0.45364332] X=[-0.06493106 -0.37943543 0.04800112 -0.35322897 -0.63043676 0.09949281 -0.07908597 -0.44384932 0.077712 -0.87497341 0.06967355], Predicted=[0.77497325 0.22502675] X=[ 1.94980715 -0.9747665 -0.28255704 -1.04335466 -0.81353884 -0.07692173 -1.0204014 -0.4371617 -2.37285957 -1.13786799 -0.41793512], Predicted=[0.90483454 0.09516546] X=[-0.89452915 -1.07398834 0.70911744 1.71714808 -0.58466124 -0.42975081 -0.33794771 0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=[0.89281677 0.10718323] X=[ 1.35723709 0.01745194 -0.11727796 0.23830733 -0.035355 1.51080912 1.54468315 0.46901049 -0.58460464 0.527131 -0.33666701], Predicted=[0.83897445 0.16102555] X=[ 0.40912499 0.31511748 0.13064066 0.15943582 0.01042052 0.56993158 0.93282812 0.49241715 -0.31967798 0.35186795 -0.66173945], Predicted=[0.9229494 0.0770506] X=[-0.77601514 -0.28021359 -1.0263129 1.80587852 -0.31000812 -0.42975081 0.48570329 1.39524554 1.93219859 1.31581474 -0.74300757], Predicted=[0.68587375 0.31412625] X=[-1.84264125 1.20811407 -0.69575474 -0.49125411 -0.67621228 0.56993158 -0.1967504 -1.10592347 0.8062603 0.79002558 1.00425684], Predicted=[0.60822236 0.39177764] X=[ 0.17209696 -1.07398834 0.29591974 -0.96448315 -0.81353884 -0.5473605 -1.49105911 -0.61103976 0.74002864 -0.26155273 0.23220977], Predicted=[0.70132861 0.29867139] X=[ 0.17209696 -1.17321019 -0.69575474 1.55940506 -0.08113052 -0.48855566 0.25037443 1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711] X=[-0.53898711 -0.28021359 0.29591974 -0.37294685 -0.31000812 0.33471219 0.20330866 -0.64447785 -0.05475133 -0.78734189 0.47601411], Predicted=[0.7655681 0.2344319] X=[ 1.12020906 -1.17321019 0.6264779 -0.9250474 -0.90508988 -0.37094597 0.03857846 -1.01229682 -1.11445795 2.5426561 1.61376767], Predicted=[0.37925051 0.62074949] X=[ 0.88318104 0.31511748 -0.36519658 0.81012575 -0.2642326 -0.84138474 0.15624289 0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=[0.94662914 0.05337086] X=[-0.4204731 -0.77632281 -0.03463842 -0.96448315 -0.31000812 0.04068796 -0.66740811 -1.31992724 0.21017533 1.40344626 1.20742712], Predicted=[0.4204763 0.5795237] X=[ 0.76466702 0.31511748 1.45287331 1.65799445 -0.31000812 1.56961397 1.54468315 1.39524554 -0.8495313 0.96528863 -0.82427568], Predicted=[0.8721652 0.1278348] X=[-1.96115527 3.19255096 -2.18326647 0.12000007 -0.08113052 -0.13572658 0.20330866 0.12459818 0.93872363 0.79002558 -0.66173945], Predicted=[0.95799191 0.04200809] X=[ 1.00169505 0.01745194 2.44454779 0.92843301 -0.31000812 1.33439458 0.95636101 1.29493128 -0.71706797 -0.43681578 -1.39315246], Predicted=[0.95523777 0.04476223] X=[ 1.12020906 -0.9747665 1.0396756 1.42137993 0.28507364 0.15829765 -0.47914502 1.32836936 -0.25344632 0.08897337 -0.41793512], Predicted=[0.82461287 0.17538713] X=[-1.01304317 1.60500145 -0.6131152 -0.64899712 0.33084916 1.27558973 -0.24381617 -1.40686627 0.21017533 -0.87497341 1.7763039 ], Predicted=[0.65118944 0.34881056] X=[ 0.76466702 -0.9747665 -0.1999175 0.02141068 -0.76776332 1.04037035 0.50923618 -0.42378647 -1.04822629 -0.96260494 0.31347789], Predicted=[0.61509046 0.38490954] X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841] X=[-0.53898711 0.71200485 -1.0263129 -0.84617589 0.23929812 0.62873642 0.76809792 -0.27665888 -0.18721466 0.08897337 -0.82427568], Predicted=[0.95483773 0.04516227] X=[-0.18344508 2.49799805 -0.36519658 -0.4123826 1.06325748 -0.90018958 -0.57327657 -1.29986438 0.21017533 0.87765711 2.34518068], Predicted=[0.63832123 0.36167877] X=[ 0.40912499 1.20811407 1.28759423 -1.04335466 0.10197156 -1.4294332 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=[0.98499268 0.01500732] X=[ 2.06832116 -1.17321019 0.37855928 -0.58984349 -0.2642326 0.33471219 0.10917712 -0.27665888 -1.5780796 -0.87497341 -0.2553989 ], Predicted=[0.83576722 0.16423278] X=[-0.18344508 -0.37943543 -0.28255704 0.75097212 1.109033 0.51112673 0.95636101 0.88029898 -2.17416458 -0.26155273 -1.31188435], Predicted=[0.97893541 0.02106459] X=[ 2.4238632 -0.18099175 -0.03463842 0.33689671 -0.99664092 0.68754127 1.49761738 0.51916762 -0.38590965 -0.26155273 0.23220977], Predicted=[0.7000459 0.2999541] X=[-0.53898711 -0.57787912 0.37855928 0.53407548 -0.08113052 -0.01811689 -0.26734905 -0.25659603 -1.44561627 -1.66365715 0.394746 ], Predicted=[0.81903475 0.18096525] X=[ 0.29061097 0.61278301 -0.1999175 -0.23492171 -0.63043676 0.04068796 0.03857846 -0.79160544 1.07118696 -0.17392121 1.45123145], Predicted=[0.42701716 0.57298284] X=[-0.06493106 -0.67710097 -0.1999175 -0.68843288 0.01042052 0.27590734 -0.40854637 -0.91198256 -0.78329963 1.40344626 0.31347789], Predicted=[0.6648785 0.3351215] X=[-0.30195909 -0.9747665 -0.44783612 -0.9250474 -0.21845708 1.04037035 0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=[0.83494919 0.16505081] X=[ 0.527639 0.91044854 -1.4395106 1.67771232 0.10197156 1.39319943 2.39186704 1.66943786 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94468372 0.05531628] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[-0.06493106 0.71200485 -0.11727796 -0.78702226 0.10197156 -0.01811689 -0.83213831 -0.97885873 0.60756531 -0.26155273 1.20742712], Predicted=[0.68866345 0.31133655] X=[-2.55372533e+00 -1.32204295e+00 -3.65196580e-01 -1.06307253e+00 -1.72681560e-01 -1.81168871e-02 -1.13806583e+00 -1.07917300e+00 3.78668518e+00 1.34184656e-03 6.38550334e-01], Predicted=[0.43754145 0.56245855] X=[-0.65750113 -0.67710097 -0.36519658 1.04674027 0.10197156 0.80515096 0.20330866 0.26503815 0.21017533 -0.96260494 0.23220977], Predicted=[0.66997007 0.33002993] X=[-0.06493106 0.41433932 0.29591974 -0.58984349 -1.04241644 -0.95899443 -1.20866448 -1.27980153 -0.31967798 0.35186795 1.7763039 ], Predicted=[0.45557184 0.54442816] X=[ 1.71277913 -0.67710097 1.28759423 2.64388828 0.37662468 0.86395581 2.18007107 2.39838819 -1.31315295 0.43949948 -1.06808001], Predicted=[0.90942683 0.09057317] X=[ 0.76466702 -0.0817699 0.2132802 0.12000007 -0.44733468 0.56993158 0.60336772 -0.04259226 -1.04822629 -1.40076257 0.394746 ], Predicted=[0.83375456 0.16624544] X=[-0.89452915 -0.0817699 -0.69575474 -0.90532952 -0.21845708 -1.54704289 -0.690941 -0.37697314 -0.71706797 0.43949948 -1.23061624], Predicted=[0.96320235 0.03679765] X=[ 1.83129314 1.20811407 3.02302457 1.32279054 -0.17268156 -0.37094597 1.37995295 1.32836936 -0.8495313 1.31581474 -0.66173945], Predicted=[0.93172787 0.06827213] X=[-1.01304317 -1.07398834 -1.0263129 -0.0771787 0.1935226 -0.5473605 -0.10261885 -0.04259226 -0.71706797 0.43949948 -0.58047134], Predicted=[0.89486061 0.10513939] X=[ 0.17209696 -1.17321019 -0.6131152 0.09042325 0.05619604 -0.31214112 1.92120932 0.73317139 1.26988195 0.79002558 -0.33666701], Predicted=[0.84581094 0.15418906] X=[-0.4204731 0.01745194 -0.36519658 -0.72786863 -0.35578364 -0.5473605 -0.73800677 -0.94542065 0.87249197 -0.69971036 0.88235467], Predicted=[0.66006566 0.33993434] X=[-1.25007119 -1.47087572 -0.94367336 1.24391904 0.55972676 -0.6649702 1.05049255 0.52585524 0.87249197 -0.61207884 0.96362278], Predicted=[0.64101397 0.35898603] X=[-0.30195909 0.8112267 -0.44783612 -0.05746082 -0.76776332 -1.37062835 -1.06746717 -1.16611203 0.01148034 -1.92655172 1.85757201], Predicted=[0.51684347 0.48315653] X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967] X=[ 0.05358295 -0.47865728 0.13064066 0.10028219 -0.7219878 0.56993158 -0.5262108 -0.53078835 -2.57155456 0.43949948 0.394746 ], Predicted=[0.73668031 0.26331969] X=[ 0.527639 -0.18099175 -0.28255704 0.57351123 0.1935226 -0.01811689 0.36803886 0.59607523 0.14394366 0.08897337 -0.09286267], Predicted=[0.83678985 0.16321015] X=[ 1.00169505 0.21589563 -0.11727796 -0.94476527 -0.40155916 -0.72377504 -0.33794771 -0.71135403 -1.71054293 -1.40076257 0.394746 ], Predicted=[0.91410187 0.08589813] X=[-1.01304317 -0.18099175 -0.36519658 -1.06307253 -0.63043676 -0.48855566 -0.99686851 -1.48043006 1.26988195 -0.43681578 1.45123145], Predicted=[0.46033032 0.53966968] X=[ 2.90610974e-01 7.12004853e-01 -7.78394281e-01 1.77630171e+00 4.22400199e-01 6.28736423e-01 1.40348584e+00 1.59587407e+00 -4.52141313e-01 1.34184656e-03 -1.39315246e+00], Predicted=[0.94518802 0.05481198] X=[-0.65750113 1.30733592 -1.27423152 -0.57012562 -0.85931436 -0.72377504 -0.690941 -1.28648915 1.0049553 0.43949948 1.85757201], Predicted=[0.40483051 0.59516949] X=[-1.01304317 -0.28021359 -0.44783612 -0.82645801 -0.90508988 1.09917519 -0.29088194 -1.41355388 1.60104027 1.40344626 1.93884012], Predicted=[0.18151128 0.81848872] X=[-0.53898711 -0.57787912 1.28759423 0.21858945 0.37662468 0.39351704 0.29744021 0.25835054 0.54133365 0.26423642 -0.33666701], Predicted=[0.86353539 0.13646461] X=[-0.77601514 0.01745194 -0.53047566 0.77069 -0.7219878 -0.5473605 -0.71447388 -0.04927988 0.077712 -1.13786799 0.15094166], Predicted=[0.70948834 0.29051166] X=[-1.96115527 1.257725 -1.52215014 -0.97434209 -0.35578364 -1.48823805 -2.22057857 -0.9287016 2.19712525 -0.78734189 0.88235467], Predicted=[0.80887464 0.19112536] X=[ 2.06832116 0.31511748 -0.28255704 -1.08279041 -0.035355 -1.13540897 -0.690941 -0.51406931 -1.5780796 -0.87497341 -0.33666701], Predicted=[0.93716877 0.06283123] X=[ 1.12020906 0.01745194 -0.11727796 0.5143576 -0.44733468 -0.07692173 -0.54974368 0.39210289 -0.12098299 -0.87497341 -0.17413078], Predicted=[0.79608741 0.20391259] X=[ 0.05358295 -1.17321019 -0.28255704 0.63266486 0.51395124 0.86395581 1.09755832 1.26149319 1.33611362 -0.96260494 -0.74300757], Predicted=[0.91240754 0.08759246] X=[-0.30195909 0.91044854 -0.77839428 -0.86589377 0.83437988 -0.72377504 -0.43207925 0.19147436 0.87249197 0.43949948 -0.90554379], Predicted=[0.97492429 0.02507571] X=[-0.18344508 0.61278301 -0.6131152 -0.88561164 -0.35578364 1.33439458 -0.00848731 -1.58074433 -1.24692128 -0.17392121 1.36996334], Predicted=[0.57898211 0.42101789] X=[ 1.00169505 -1.07398834 1.53551285 -0.09689658 -1.31706956 -0.84138474 -1.27926314 -0.37697314 -0.31967798 -0.78734189 1.126159 ], Predicted=[0.53339663 0.46660337] X=[ 1.59426511 -0.57787912 -0.28255704 -0.90532952 0.05619604 0.68754127 1.09755832 -0.24322079 -0.38590965 0.08897337 -0.2553989 ], Predicted=[0.85474672 0.14525328] X=[ 0.05358295 0.51356116 -0.1999175 0.2580252 -0.2642326 -0.37094597 -0.07908597 -0.59097691 -0.51837298 0.70239405 1.45123145], Predicted=[0.53262687 0.46737313] X=[-0.18344508 -0.0817699 -0.03463842 -0.55040774 -0.53888572 -1.54704289 -2.19704569 -0.86516923 -0.71706797 -0.78734189 -0.01159456], Predicted=[0.82082407 0.17917593] X=[ 0.64615301 0.01745194 0.70911744 2.64388828 0.92593092 1.04037035 1.33288718 1.99713113 -1.51184794 -0.43681578 -1.14934812], Predicted=[0.93876484 0.06123516] X=[ 0.17209696 -1.17321019 -0.6131152 0.1791537 0.05619604 -0.31214112 1.92120932 0.73317139 1.26988195 0.79002558 -0.33666701], Predicted=[0.83104165 0.16895835] X=[-0.30195909 1.40655776 -1.68742922 1.26363691 -0.08113052 -0.5473605 0.46217041 1.23474272 0.34263866 -0.17392121 -1.23061624], Predicted=[0.94946868 0.05053132] X=[-0.89452915 0.41433932 -0.03463842 0.8495615 -0.44733468 -0.48855566 -0.94980274 0.3954467 1.0049553 0.26423642 -0.2553989 ], Predicted=[0.76871297 0.23128703] X=[-1.25007119 3.19255096 -2.76174325 -1.0039189 -0.08113052 2.15766243 1.37995295 -0.67122832 2.4620519 -0.52444731 0.31347789], Predicted=[0.87227488 0.12772512] X=[ 1.83129314 0.41433932 0.13064066 1.04674027 -0.76776332 -1.89987197 -2.1735128 0.12125437 -1.11445795 -1.31313104 1.04489089], Predicted=[0.60213919 0.39786081] X=[-0.77601514 -0.28021359 1.12231514 1.02702239 0.10197156 1.56961397 1.68588046 0.9271123 0.01148034 0.08897337 -0.82427568], Predicted=[0.9084739 0.0915261] X=[-1.01304317 0.41433932 -1.77006876 -0.09689658 -0.21845708 -0.07692173 1.21522275 0.12459818 -0.18721466 2.01686694 -0.41793512], Predicted=[0.89207599 0.10792401] X=[-0.18344508 -0.0817699 -0.28255704 1.48053356 -0.76776332 -0.07692173 -0.17321751 0.42554098 1.13741862 0.08897337 1.20742712], Predicted=[0.33302492 0.66697508] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[ 2.54237721 -0.77632281 -0.03463842 -0.57012562 0.14774708 -1.48823805 -2.31471011 0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=[0.88867766 0.11132234] X=[-0.30195909 -1.17321019 0.2132802 -1.04335466 -0.67621228 -0.48855566 -1.06746717 -1.73455953 0.27640699 -1.31313104 2.18264446], Predicted=[0.30930551 0.69069449] X=[-1.01304317 0.01745194 -0.69575474 -0.90532952 -0.17268156 -1.60584774 -0.71447388 -0.37697314 -0.71706797 0.527131 -1.23061624], Predicted=[0.96620229 0.03379771] X=[ 0.76466702 -0.28021359 -0.11727796 0.35661459 -0.99664092 1.04037035 1.66234758 0.53588667 -0.45214131 -0.26155273 0.23220977], Predicted=[0.80377067 0.19622933] X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903] X=[-0.06493106 -0.37943543 -0.1999175 2.34812013 0.01042052 0.27590734 0.08564423 1.99713113 0.74002864 -0.69971036 -1.47442057], Predicted=[0.88458132 0.11541868] X=[-1.01304317 1.20811407 -0.28255704 -0.94476527 0.05619604 -0.31214112 -0.50267791 -0.31009697 -0.12098299 -0.08628968 -0.33666701], Predicted=[0.96889493 0.03110507] X=[-0.30195909 4.97854415 1.37023377 -0.96448315 -0.035355 -0.31214112 -0.12615174 -0.99892159 0.40887032 -0.08628968 0.96362278], Predicted=[0.95726713 0.04273287] X=[ 8.70510587 -0.0817699 1.28759423 -1.04335466 -0.40155916 -0.13572658 0.41510463 -0.67791594 -0.25344632 0.43949948 0.47601411], Predicted=[0.17831408 0.82168592] X=[ 3.01643326 -1.17321019 -0.28255704 -0.98420103 -0.17268156 -0.5473605 0.88576235 0.45897907 -0.25344632 -0.26155273 -1.14934812], Predicted=[0.93396661 0.06603339] X=[ 3.60900333e+00 7.21103565e+00 1.03967560e+00 -9.84201026e-01 1.04205195e-02 -7.69217335e-02 1.09755832e+00 8.60236126e-01 -1.11445795e+00 1.34184656e-03 -2.55398896e-01], Predicted=[0.99842239 0.00157761] X=[-0.77601514 0.01745194 1.45287331 0.29746096 0.46817572 0.80515096 1.59174892 0.52585524 -0.05475133 0.26423642 -0.90554379], Predicted=[0.95328973 0.04671027] X=[ 0.05358295 1.60500145 -0.53047566 -0.27435747 -0.35578364 -0.13572658 0.65043349 -0.93204541 0.077712 -0.61207884 1.36996334], Predicted=[0.67362899 0.32637101] X=[-5.38987115e-01 2.15895632e-01 -5.30475661e-01 -2.74357467e-01 5.59726758e-01 -4.88555658e-01 2.97440205e-01 -6.84603557e-01 2.10175327e-01 1.34184656e-03 1.36996334e+00], Predicted=[0.71857092 0.28142908] X=[ 0.527639 -0.77632281 0.46119882 -0.80674014 0.10197156 -0.6649702 -1.20866448 -1.19955012 -1.64431127 -1.22549952 1.20742712], Predicted=[0.73987438 0.26012562] X=[ 2.18683518 0.31511748 3.27094319 1.569264 -0.08113052 -0.48855566 1.23875564 2.04060065 -1.51184794 3.41897136 -1.47442057], Predicted=[0.95477416 0.04522584] X=[-1.25007119 2.99410727 -2.76174325 -0.96448315 -1.179743 -0.13572658 -0.99686851 -1.62087003 0.67379698 -0.96260494 1.53249956], Predicted=[0.65898983 0.34101017] X=[-1.01304317 1.10889223 -1.35687106 1.1058939 0.01042052 1.7460285 2.53306435 1.19461701 -0.25344632 -0.96260494 -1.23061624], Predicted=[0.96978743 0.03021257] X=[-1.48709922 -0.9747665 2.03135009 -1.01377784 -0.53888572 -0.37094597 -0.22028328 -1.40017865 2.13089358 0.96528863 1.20742712], Predicted=[0.37628256 0.62371744] X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767] X=[-0.65750113 0.41433932 -1.35687106 2.23967181 0.6512778 0.92276066 1.21522275 1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=[0.93355867 0.06644133] X=[ 0.17209696 -0.47865728 0.70911744 -1.04335466 0.74282884 -0.01811689 -0.90273697 -0.2833465 -0.98199462 -0.78734189 -1.06808001], Predicted=[0.97243706 0.02756294] X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=[0.70177663 0.29822337] X=[-0.18344508 -0.9747665 -0.69575474 1.55940506 0.10197156 2.56929635 0.25037443 1.16117892 -0.45214131 -1.05023647 -0.66173945], Predicted=[0.80335734 0.19664266] X=[-1.3685852 -1.76854125 -0.53047566 -1.0039189 0.05619604 -0.84138474 -0.90273697 -0.41041123 0.54133365 -0.26155273 -0.82427568], Predicted=[0.90890306 0.09109694] X=[-0.30195909 0.41433932 -0.94367336 2.0326341 0.01042052 0.15829765 -0.12615174 1.29493128 0.21017533 1.57870931 -0.09286267], Predicted=[0.70104684 0.29895316] X=[ 0.76466702 0.51356116 -0.11727796 0.92843301 -0.44733468 -0.60616535 -0.45561214 0.72648377 -0.25344632 -1.31313104 -0.01159456], Predicted=[0.8706205 0.1293795] X=[-1.13155718 0.21589563 -0.36519658 -1.04335466 -0.44733468 -0.72377504 -1.93818394 -1.21292535 0.01148034 -0.96260494 0.63855033], Predicted=[0.80653502 0.19346498] X=[-0.89452915 1.30733592 -2.76174325 -0.94476527 0.78860436 0.04068796 -1.20866448 -0.87854447 0.54133365 1.57870931 0.23220977], Predicted=[0.81954099 0.18045901] X=[-2.19818329 -0.23060267 -0.94367336 -0.72786863 -0.12690604 0.62873642 0.34450598 -0.5508512 3.72045352 2.36739305 0.63855033], Predicted=[0.45655232 0.54344768] X=[-0.30195909 -1.07398834 -0.44783612 -0.90532952 -0.17268156 1.56961397 0.93282812 -0.6645407 -0.25344632 -0.61207884 -0.2553989 ], Predicted=[0.81697963 0.18302037] X=[-1.01304317 1.40655776 0.6264779 1.18476541 -0.63043676 0.86395581 0.95636101 0.73317139 -0.31967798 0.96528863 -0.66173945], Predicted=[0.89950534 0.10049466] X=[-0.06493106 -0.0817699 -0.44783612 0.27774308 -0.35578364 -0.5473605 -1.16159871 -0.84510638 0.34263866 -1.31313104 1.61376767], Predicted=[0.3727685 0.6272315] X=[ 0.17209696 0.11667379 1.28759423 -0.51097199 0.05619604 0.09949281 -0.05555308 -0.07603035 -1.5780796 -0.78734189 -0.90554379], Predicted=[0.97149758 0.02850242] X=[ 0.29061097 1.00967039 0.70911744 1.06645815 -0.21845708 -0.19453143 1.28582141 0.73985901 -0.98199462 0.00134185 -0.41793512], Predicted=[0.92464778 0.07535222] X=[-0.53898711 -0.37943543 -0.53047566 -0.96448315 -0.2642326 -0.01811689 -0.78507254 -1.63424527 -0.38590965 -1.66365715 1.53249956], Predicted=[0.56231835 0.43768165] X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=[0.81297813 0.18702187] X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=[0.77032992 0.22967008] X=[-1.3685852 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=[0.29136097 0.70863903] X=[-0.30195909 -0.87554465 -0.44783612 1.06645815 -0.17268156 1.09917519 -0.0320202 0.29847624 -0.05475133 -1.05023647 0.23220977], Predicted=[0.61726249 0.38273751] X=[-0.06493106 -0.9747665 -0.44783612 0.41576822 0.05619604 0.9815655 2.43893281 0.39210289 0.21017533 0.35186795 -0.01159456], Predicted=[0.77112704 0.22887296] X=[-0.30195909 -0.67710097 0.04800112 -0.15605021 0.01042052 -0.31214112 0.03857846 -0.34687886 0.21017533 -0.96260494 0.394746 ], Predicted=[0.78146755 0.21853245] X=[-0.89452915 0.01745194 -0.53047566 -0.3335111 -0.7219878 1.21678489 0.03857846 -1.20623774 -0.18721466 -0.61207884 1.61376767], Predicted=[0.42969262 0.57030738] X=[ 0.64615301 0.21589563 1.28759423 0.35661459 0.4224002 0.80515096 1.16815698 1.12774083 2.19712525 0.79002558 -0.66173945], Predicted=[0.89409844 0.10590156] X=[-5.38987115e-01 -1.07398834e+00 4.80011213e-02 -9.64483150e-01 2.07031891e+00 3.93517038e-01 -7.90859669e-02 -7.60303484e-02 4.08870320e-01 1.34184656e-03 -7.43007566e-01], Predicted=[0.96377994 0.03622006] X=[-1.13155718 -0.37943543 -0.6131152 1.16504753 0.33084916 -0.07692173 -0.10261885 1.06086466 1.0049553 -0.34918426 -0.82427568], Predicted=[0.89601222 0.10398778] X=[-0.30195909 -1.17321019 -0.36519658 -0.90532952 0.1935226 0.27590734 0.20330866 -0.94542065 -0.8495313 -0.43681578 0.71981845], Predicted=[0.77217123 0.22782877] X=[-1.72412724 -0.0817699 -0.94367336 -0.35322897 -1.08819196 -0.37094597 -0.73800677 -1.71784049 0.93872363 0.43949948 2.67025313], Predicted=[0.13938054 0.86061946] X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909] X=[ 0.17209696 0.11667379 0.29591974 -0.29407534 -0.53888572 -0.5473605 -0.26734905 -0.41041123 -0.12098299 -0.43681578 0.23220977], Predicted=[0.80347716 0.19652284] X=[ 1.12020906 -0.0817699 0.04800112 -0.94476527 0.01042052 -0.48855566 0.36803886 -0.44384932 -0.91576296 -0.34918426 -0.01159456], Predicted=[0.91122135 0.08877865] X=[ 0.64615301 0.11667379 1.37023377 -0.90532952 -0.17268156 -0.01811689 -0.26734905 -0.10946844 1.7335036 0.08897337 -0.2553989 ], Predicted=[0.8620459 0.1379541] X=[ 0.29061097 0.31511748 0.37855928 -1.02363678 -0.44733468 -1.48823805 -0.33794771 -0.54416359 -0.31967798 -0.43681578 -0.49920323], Predicted=[0.93684065 0.06315935] X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=[0.54483733 0.45516267] X=[-0.30195909 -1.07398834 0.2132802 -0.88561164 -0.44733468 0.15829765 -0.66740811 -1.15942441 -0.91576296 0.43949948 0.71981845], Predicted=[0.62775893 0.37224107] X=[ 1.12020906 0.01745194 1.28759423 -1.0039189 0.01042052 -0.48855566 0.08564423 -0.14290653 -0.6508363 0.87765711 -0.2553989 ], Predicted=[0.93675318 0.06324682] X=[-0.4204731 0.51356116 -0.77839428 1.59884082 0.10197156 -0.90018958 -0.99686851 0.17809912 -0.8495313 -1.66365715 0.80108656], Predicted=[0.7069364 0.2930636] X=[-0.30195909 0.31511748 -2.18326647 -0.96448315 -0.58466124 1.15798004 0.13271 -0.65116547 -0.18721466 -0.61207884 -0.41793512], Predicted=[0.86205665 0.13794335] X=[-0.83527215 -0.67710097 0.29591974 -0.62927925 -1.13396748 -0.90018958 -1.37339468 -1.09254824 1.33611362 -0.17392121 1.20742712], Predicted=[0.39691249 0.60308751] X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129] X=[ 2.06832116 -1.17321019 1.28759423 0.1791537 -0.12690604 -1.54704289 -1.77345374 0.42554098 -0.38590965 0.87765711 -0.01159456], Predicted=[0.74744649 0.25255351] X=[-0.77601514 0.21589563 -0.11727796 -0.9250474 -0.63043676 -0.31214112 -0.1967504 -0.97885873 0.60756531 -0.69971036 0.55728222], Predicted=[0.77394784 0.22605216] X=[-0.30195909 -0.57787912 -0.44783612 -0.29407534 -0.17268156 0.92276066 0.97989389 0.39210289 0.74002864 2.27976152 -0.82427568], Predicted=[0.8512153 0.1487847] X=[ 0.17209696 -0.87554465 -0.03463842 -0.01802507 -0.63043676 0.39351704 -0.26734905 -0.7381045 0.8062603 -0.96260494 1.36996334], Predicted=[0.32059958 0.67940042] X=[ 1.59426511 -0.77632281 1.28759423 -0.57012562 0.51395124 -1.25301866 -0.71447388 -0.41041123 0.01148034 -1.22549952 0.80108656], Predicted=[0.79683551 0.20316449] X=[-0.65750113 -0.18099175 -0.69575474 0.27774308 0.55972676 0.51112673 0.65043349 0.69304568 0.34263866 -0.69971036 -1.23061624], Predicted=[0.9575466 0.0424534] X=[ 0.76466702 -0.9747665 0.95703606 -0.35322897 -0.21845708 1.8636382 0.46217041 -0.44384932 -1.18068962 -0.96260494 0.06967355], Predicted=[0.77052237 0.22947763] X=[ 0.64615301 1.00967039 0.04800112 0.37633246 0.28507364 0.51112673 0.69749926 0.74989043 -0.51837298 0.26423642 -1.06808001], Predicted=[0.95783793 0.04216207] X=[-0.77601514 -0.77632281 -0.6131152 0.65238274 -0.7219878 0.2171025 -0.8556712 -1.079173 -0.71706797 0.61476253 1.93884012], Predicted=[0.15021263 0.84978737] X=[ 1.00169505 0.01745194 2.03135009 1.12561178 0.01042052 1.45200427 0.90929523 1.42868363 -0.71706797 -0.26155273 -1.31188435], Predicted=[0.95203243 0.04796757] X=[-2.07966928 -0.28021359 0.2132802 -1.0039189 -0.4931102 0.27590734 -1.42046046 -1.6476205 0.27640699 1.31581474 1.28869523], Predicted=[0.47079442 0.52920558] X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255] X=[ 1.12020906 -0.87554465 -0.11727796 0.19887157 -1.4086206 0.68754127 -0.33794771 -0.41709885 -1.31315295 -0.87497341 0.394746 ], Predicted=[0.50377303 0.49622697] X=[-0.4204731 1.80344514 -0.77839428 1.00730452 0.23929812 1.21678489 0.76809792 0.61948189 -0.71706797 0.61476253 -0.58047134], Predicted=[0.92075227 0.07924773] X=[-0.18344508 -0.67710097 -0.11727796 -0.19548596 0.05619604 -0.37094597 0.03857846 0.32522671 1.33611362 -0.26155273 -0.66173945], Predicted=[0.8839255 0.1160745] X=[-0.53898711 0.71200485 -1.10895244 -0.13633233 -0.53888572 -1.01779928 -0.50267791 0.12459818 0.93872363 -0.52444731 -0.33666701], Predicted=[0.90098687 0.09901313] X=[-0.06493106 -0.18099175 0.70911744 -0.9250474 0.14774708 0.33471219 -0.38501348 -0.34353506 1.86596693 -0.08628968 -0.01159456], Predicted=[0.8193598 0.1806402] X=[-2.55372533 1.75383422 -1.27423152 -0.88561164 -0.44733468 -0.13572658 -0.76153965 -2.19600515 0.14394366 2.98081373 2.83278935], Predicted=[0.25865391 0.74134609] X=[ 1.12020906 0.01745194 -0.1999175 -0.84617589 0.01042052 -0.42975081 1.63881469 0.10453533 0.27640699 1.31581474 -0.58047134], Predicted=[0.9184521 0.0815479] X=[ 0.64615301 -1.17321019 1.28759423 -1.02363678 0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=[0.78360911 0.21639089] X=[ 0.17209696 -0.0817699 -0.36519658 -0.49125411 0.60550228 -0.42975081 1.42701872 0.69304568 2.32958858 0.87765711 -0.17413078], Predicted=[0.92046508 0.07953492] X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382 -0.22028328 0.25835054 -0.31967798 0.00134185 -0.74300757], Predicted=[0.94540674 0.05459326] X=[ 0.527639 -0.47865728 0.04800112 0.57351123 0.28507364 -0.95899443 -1.23219737 0.57266857 -0.98199462 0.61476253 -0.41793512], Predicted=[0.88941689 0.11058311] X=[ 0.05358295 0.41433932 -1.35687106 0.23830733 -0.17268156 1.98124789 1.89767644 0.62616951 -0.38590965 -0.78734189 -1.31188435], Predicted=[0.9465955 0.0534045] X=[-0.53898711 -1.27243203 0.2132802 -0.90532952 -0.53888572 0.45232188 0.27390732 -0.61103976 1.53480861 1.75397237 0.394746 ], Predicted=[0.52843191 0.47156809] X=[ 2.77940524 0.41433932 0.70911744 -1.0039189 0.01042052 -1.25301866 1.12109121 0.29178862 -0.71706797 -0.08628968 -0.74300757], Predicted=[0.96995608 0.03004392] X=[-0.30195909 -0.37943543 -0.53047566 1.85517321 -0.4931102 0.62873642 1.16815698 1.39524554 0.34263866 0.1766049 -1.06808001], Predicted=[0.80698289 0.19301711] X=[ 0.29061097 0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474 0.13271 -0.33015982 -0.38590965 -0.78734189 -0.74300757], Predicted=[0.95609872 0.04390128] X=[-0.53898711 -0.57787912 0.37855928 0.53407548 -0.08113052 -0.01811689 -0.26734905 -0.25659603 -1.44561627 -1.66365715 0.394746 ], Predicted=[0.81903475 0.18096525] X=[ 0.40912499 0.61278301 -0.28255704 0.39605034 0.23929812 0.27590734 0.67396638 1.18124177 1.93219859 1.14055168 -0.66173945], Predicted=[0.90525134 0.09474866] X=[-0.30195909 0.31511748 1.28759423 0.2580252 0.1935226 0.9815655 1.92120932 0.79335995 -0.45214131 -0.34918426 -1.39315246], Predicted=[0.97771767 0.02228233] X=[ 0.88318104 -0.0817699 -0.03463842 -0.86589377 0.60550228 -0.95899443 0.86222946 0.12459818 0.21017533 0.61476253 -0.49920323], Predicted=[0.95102345 0.04897655] X=[-0.89452915 -1.07398834 -0.44783612 -0.76730438 -0.81353884 -0.78257989 -0.94980274 -1.10592347 -0.18721466 -1.05023647 0.47601411], Predicted=[0.68384479 0.31615521] X=[-0.53898711 1.70422329 -2.18326647 -1.04335466 -0.7219878 -1.48823805 -0.17321751 -1.17948726 -1.44561627 -1.8389202 0.23220977], Predicted=[0.94263915 0.05736085] X=[-1.72412724 0.96005946 0.54383836 -0.60956137 0.37662468 -0.37094597 0.20330866 0.26503815 1.53480861 0.26423642 -1.14934812], Predicted=[0.97897174 0.02102826] X=[-0.77601514 -0.37943543 -0.53047566 2.05235198 -0.2642326 0.74634612 -0.22028328 0.9638942 0.27640699 -0.96260494 -0.01159456], Predicted=[0.64320956 0.35679044] X=[-0.30195909 -0.47865728 -0.11727796 -1.08279041 -0.21845708 -0.60616535 -1.39692757 -0.47728741 1.33611362 0.43949948 -0.2553989 ], Predicted=[0.82365225 0.17634775] X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106] X=[-0.30195909 0.01745194 -0.28255704 1.28335479 -0.58466124 -0.25333627 0.90929523 0.25500673 -0.45214131 -0.87497341 0.55728222], Predicted=[0.6707139 0.3292861] X=[ 3.3719753 -0.37943543 1.28759423 -0.29407534 -0.63043676 -1.89987197 -2.8324336 -0.11615605 -2.24039624 0.43949948 -0.41793512], Predicted=[0.82045648 0.17954352] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[ 0.76466702 0.11667379 -0.77839428 0.69181849 0.55972676 -0.60616535 -0.54974368 0.5492619 -0.25344632 -0.26155273 0.31347789], Predicted=[0.84105254 0.15894746] X=[ 0.29061097 -0.0817699 -0.53047566 0.79040787 -0.21845708 -0.5473605 -0.57327657 -0.22650175 -0.98199462 0.26423642 0.80108656], Predicted=[0.55540558 0.44459442] X=[-0.06493106 2.49799805 0.13064066 -0.51097199 -0.53888572 -0.5473605 -0.690941 -1.14604918 0.47510198 0.70239405 1.7763039 ], Predicted=[0.60653957 0.39346043] X=[-0.06493106 -0.18099175 1.86607101 1.08617602 -0.12690604 1.68722366 2.06240664 0.99398848 -1.11445795 1.22818321 -0.9868119 ], Predicted=[0.91481182 0.08518818] X=[-0.06493106 0.91044854 -0.44783612 -0.47153623 -0.7219878 -0.37094597 -1.39692757 -1.34667771 0.27640699 -0.26155273 1.53249956], Predicted=[0.41253483 0.58746517] X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495] X=[-1.48709922 -0.18099175 -0.6131152 -0.13633233 -0.67621228 -1.37062835 -1.37339468 -0.57760167 0.40887032 -0.96260494 0.23220977], Predicted=[0.7845976 0.2154024] X=[ 0.17209696 0.21589563 1.45287331 1.42137993 0.1935226 0.27590734 0.69749926 1.19461701 -0.78329963 0.26423642 -0.74300757], Predicted=[0.92835481 0.07164519] X=[ 0.64615301 0.41433932 -0.94367336 -0.9250474 0.23929812 0.86395581 0.95636101 0.49241715 0.60756531 1.75397237 -1.31188435], Predicted=[0.95909565 0.04090435] X=[-1.01304317 0.11667379 -1.0263129 -1.0039189 0.4224002 0.39351704 0.69749926 -0.87854447 0.87249197 -0.52444731 0.47601411], Predicted=[0.83220275 0.16779725] X=[-0.30195909 -0.57787912 0.2132802 -0.17576808 -0.76776332 -0.31214112 -0.78507254 -0.65785309 0.077712 -0.17392121 1.04489089], Predicted=[0.54451457 0.45548543] X=[ 0.17209696 -0.47865728 -0.03463842 -1.06307253 -0.12690604 0.62873642 -0.66740811 -0.95210826 -0.98199462 1.40344626 0.23220977], Predicted=[0.74487341 0.25512659] X=[-0.53898711 0.71200485 -0.44783612 -1.04335466 0.4224002 -1.54704289 0.50923618 0.00756487 1.53480861 0.08897337 -1.14934812], Predicted=[0.97391399 0.02608601] X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=[0.62503206 0.37496794] X=[-1.60561323 3.39099465 -0.03463842 -0.9250474 -0.40155916 -0.6649702 -0.47914502 -2.15587945 -0.25344632 -0.87497341 2.46708285], Predicted=[0.70291543 0.29708457] X=[ 1.35723709 -0.57787912 -0.44783612 1.50025143 0.33084916 2.80451574 1.37995295 1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=[0.77652935 0.22347065] X=[ 1.23872307 -0.18099175 0.6264779 1.72700701 -0.2642326 0.15829765 1.82707778 1.19461701 -1.51184794 0.96528863 -0.41793512], Predicted=[0.81813532 0.18186468] X=[-1.13155718 -0.9747665 -0.36519658 -0.35322897 -0.63043676 1.92244304 -0.0320202 -0.8150121 0.14394366 -0.96260494 0.63855033], Predicted=[0.56080634 0.43919366] X=[ 1.35723709 -0.37943543 -0.6131152 -0.9250474 -0.58466124 0.04068796 -0.05555308 -0.29003411 1.66727194 0.1766049 -0.09286267], Predicted=[0.66681795 0.33318205] X=[-0.18344508 -0.18099175 -0.28255704 -0.90532952 -0.12690604 -0.60616535 -0.40854637 0.12459818 1.66727194 1.05292016 -0.2553989 ], Predicted=[0.89164847 0.10835153] X=[-1.48709922 0.16628471 -1.10895244 -0.82645801 0.14774708 -1.01779928 -0.10261885 -0.08271797 0.14394366 1.66634084 -0.41793512], Predicted=[0.95260076 0.04739924] X=[-0.77601514 0.41433932 -1.77006876 -0.31379322 0.37662468 -1.72345743 -0.97333563 0.07109724 -0.18721466 0.08897337 -0.9868119 ], Predicted=[0.96201449 0.03798551] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[ 1.23872307 0.21589563 -0.53047566 0.41576822 -0.44733468 -0.90018958 -0.62034234 -0.04259226 -1.51184794 -0.26155273 0.96362278], Predicted=[0.73107781 0.26892219] X=[-0.89452915 1.00967039 0.70911744 -0.27435747 -1.36284508 -0.25333627 -0.59680945 -1.32327104 -0.25344632 -1.57602562 1.53249956], Predicted=[0.57371631 0.42628369] X=[-1.60561323 2.05149975 -2.76174325 -0.96448315 0.8801554 -1.60584774 -0.83213831 -0.00915417 2.92567355 -0.78734189 -0.66173945], Predicted=[0.97498011 0.02501989] X=[ 0.05358295 1.50577961 -0.44783612 0.59322911 0.46817572 -0.37094597 1.05049255 0.63954474 -0.12098299 -0.52444731 -0.90554379], Predicted=[0.96342228 0.03657772] X=[ 1.35723709 -0.9747665 0.29591974 -1.0039189 -0.2642326 -1.19421382 -0.99686851 -0.94542065 -0.8495313 1.05292016 1.28869523], Predicted=[0.57923322 0.42076678] X=[ 0.17209696 0.01745194 -0.03463842 1.61855869 -0.12690604 0.68754127 0.69749926 1.7965026 1.0049553 1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183] X=[-0.53898711 0.51356116 -0.28255704 0.15943582 -0.21845708 0.39351704 0.69749926 -0.23987698 0.21017533 0.00134185 0.47601411], Predicted=[0.75783315 0.24216685] X=[-1.25007119 0.41433932 -0.1999175 -0.72786863 0.14774708 -0.60616535 0.34450598 -1.12264251 1.66727194 2.10449847 1.36996334], Predicted=[0.48805792 0.51194208] X=[-0.18344508 -0.37943543 -0.11727796 0.77069 1.52101268 0.09949281 -0.38501348 0.86692374 -1.11445795 -0.34918426 -1.39315246], Predicted=[0.97132485 0.02867515] X=[-1.01304317 1.15850315 -2.76174325 -0.98420103 -0.17268156 -1.66465259 -1.96171683 -0.89526351 1.20365029 -0.96260494 0.55728222], Predicted=[0.84124905 0.15875095] X=[-0.30195909 -0.37943543 0.13064066 0.2580252 -0.67621228 0.04068796 -0.07908597 -0.07603035 0.01148034 -1.05023647 -0.01159456], Predicted=[0.77593678 0.22406322] X=[ 0.40912499 -0.87554465 -0.53047566 0.94815089 0.69705332 0.62873642 0.25037443 1.23474272 -1.31315295 0.87765711 -0.9868119 ], Predicted=[0.93691215 0.06308785] X=[ 7.64667024e-01 1.30733592e+00 -8.61033822e-01 1.65799445e+00 3.76624679e-01 -4.29750812e-01 8.38696578e-01 1.65606263e+00 -5.47513286e-02 1.34184656e-03 -6.61739454e-01], Predicted=[0.94439026 0.05560974] X=[ 0.17209696 -1.27243203 0.37855928 1.75658383 -0.035355 1.09917519 -0.43207925 1.16117892 -0.05475133 -0.61207884 -0.58047134], Predicted=[0.71235091 0.28764909] X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326] X=[ 0.64615301 -0.37943543 0.54383836 -0.4123826 -0.63043676 -1.54704289 -1.0204014 -0.67791594 -0.6508363 -0.87497341 0.47601411], Predicted=[0.75901852 0.24098148] X=[-0.65750113 -0.9747665 0.2132802 -1.02363678 -0.53888572 -0.5473605 -0.64387523 -1.09923585 -0.18721466 0.1766049 0.394746 ], Predicted=[0.71649924 0.28350076] X=[-0.06493106 0.51356116 -0.28255704 -0.84617589 0.05619604 -0.01811689 0.20330866 -1.81481094 0.34263866 0.61476253 2.34518068], Predicted=[0.27914053 0.72085947] X=[-0.65750113 1.20811407 -0.77839428 -0.25463959 -0.44733468 0.45232188 -0.17321751 -0.72472926 0.34263866 -0.43681578 0.63855033], Predicted=[0.73159566 0.26840434] X=[ 0.29061097 0.61278301 -1.10895244 -0.05746082 0.78860436 0.68754127 0.60336772 0.19147436 -0.12098299 -0.61207884 -0.41793512], Predicted=[0.93045313 0.06954687] X=[-0.4204731 0.8112267 -0.11727796 -1.04335466 -0.67621228 -1.31182351 -1.70285508 -0.81166829 -0.58460464 -0.26155273 0.06967355], Predicted=[0.91458489 0.08541511] X=[-1.48709922 -0.87554465 -0.1999175 -0.72786863 -0.85931436 -1.4294332 -0.90273697 -1.46705482 1.79973526 -0.78734189 2.18264446], Predicted=[0.28417632 0.71582368] X=[ 0.17209696 -0.67710097 -0.44783612 0.45520397 -0.035355 0.09949281 1.96827509 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=[0.78822664 0.21177336] X=[-1.25007119 0.41433932 -0.86103382 -0.96448315 -0.58466124 0.2171025 -0.40854637 -1.78137286 -1.51184794 -1.22549952 1.20742712], Predicted=[0.71945592 0.28054408] X=[-0.53898711 2.69644174 -0.6131152 0.63266486 -0.85931436 -0.90018958 -0.80860543 -0.54416359 0.21017533 2.10449847 2.10137634], Predicted=[0.43019626 0.56980374] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[-0.53898711 -1.17321019 -0.94367336 -0.98420103 -0.2642326 0.33471219 0.25037443 -0.24322079 1.99843026 0.79002558 -0.41793512], Predicted=[0.75359802 0.24640198] X=[ 1.12020906 -0.67710097 0.46119882 -0.90532952 -0.53888572 1.56961397 0.97989389 -1.01229682 -0.6508363 2.27976152 1.69503579], Predicted=[0.33735212 0.66264788] X=[-0.30195909 1.60500145 -0.11727796 -0.668715 2.25342099 -1.31182351 -1.49105911 -1.50049291 -0.58460464 1.22818321 1.85757201], Predicted=[0.76127822 0.23872178] X=[-0.77601514 -0.28021359 -0.44783612 0.41576822 -0.4931102 -0.42975081 -0.71447388 0.27841339 1.40234528 -0.61207884 -0.09286267], Predicted=[0.76211357 0.23788643] X=[-1.72412724 -0.37943543 -1.27423152 -0.80674014 0.1935226 -0.78257989 0.15624289 -0.65450928 0.34263866 -0.26155273 -0.17413078], Predicted=[0.90464659 0.09535341] X=[ 0.527639 -0.28021359 -0.44783612 -0.96448315 -0.12690604 -0.95899443 -0.59680945 -0.21647032 1.26988195 0.61476253 -0.33666701], Predicted=[0.84433248 0.15566752] X=[-0.06493106 0.01745194 0.79175698 0.23830733 -0.7219878 -0.31214112 -0.66740811 -0.79829306 -0.71706797 0.87765711 1.61376767], Predicted=[0.39514066 0.60485934] X=[ 0.527639 -0.47865728 -0.53047566 -0.74758651 -0.4931102 0.2171025 -0.43207925 -0.88523209 -0.98199462 0.87765711 0.63855033], Predicted=[0.63226018 0.36773982] X=[-1.48709922 -1.27243203 -0.6131152 -0.16590914 0.23929812 0.92276066 0.01504558 -0.22315794 1.86596693 0.08897337 0.394746 ], Predicted=[0.61961611 0.38038389] X=[ 1.00169505 0.01745194 0.46119882 0.49463972 -0.44733468 -1.60584774 -0.50267791 -0.17634461 -0.8495313 -0.96260494 1.20742712], Predicted=[0.682744 0.317256] X=[ 0.17209696 -1.17321019 -0.69575474 1.55940506 -0.08113052 -0.48855566 0.25037443 1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711] X=[ 0.40912499 -0.77632281 2.27926871 1.93404472 -0.12690604 -1.25301866 -0.83213831 1.56243598 -0.8495313 -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649] X=[-0.06493106 -0.57787912 0.13064066 2.19037712 -0.31000812 0.15829765 0.34450598 1.7965026 0.34263866 -0.61207884 -1.23061624], Predicted=[0.86751478 0.13248522] X=[ 1.00169505 -0.37943543 -0.53047566 -0.90532952 0.23929812 0.9815655 1.21522275 -0.41041123 0.27640699 0.08897337 0.23220977], Predicted=[0.79375722 0.20624278] X=[-1.01304317 3.34138372 -2.43118509 -1.10250829 -0.63043676 -1.60584774 -2.07938126 -1.22630059 -0.31967798 -0.78734189 0.394746 ], Predicted=[0.93690414 0.06309586] X=[-1.01304317 -0.77632281 -0.77839428 -0.21520384 1.3379106 0.80515096 1.47408449 0.21153721 0.14394366 -0.52444731 -0.82427568], Predicted=[0.95514628 0.04485372] X=[-1.01304317 -0.0817699 -0.53047566 -0.94476527 0.01042052 -0.19453143 -0.59680945 -0.54416359 1.46857694 0.1766049 -0.01159456], Predicted=[0.83640889 0.16359111] X=[-0.89452915 0.31511748 -0.6131152 -0.82645801 0.23929812 -0.42975081 0.67396638 -0.47728741 1.20365029 -0.17392121 -0.09286267], Predicted=[0.8948043 0.1051957] X=[-1.01304317 -0.47865728 0.04800112 -1.0039189 -0.9508654 -0.72377504 -0.64387523 -1.47708625 1.13741862 -1.05023647 1.7763039 ], Predicted=[0.43906232 0.56093768] X=[ 0.64615301 -0.9747665 0.54383836 -0.94476527 0.05619604 -0.78257989 -0.8556712 -0.10946844 0.60756531 -0.43681578 0.15094166], Predicted=[0.88156675 0.11843325] X=[ 2.77940524 -0.57787912 0.54383836 -0.78702226 0.37662468 -1.01779928 0.29744021 0.39210289 -0.98199462 -0.26155273 -0.9868119 ], Predicted=[0.96152194 0.03847806] X=[ 0.40912499 0.01745194 0.37855928 -0.86589377 0.28507364 -0.72377504 0.41510463 -0.94542065 -0.38590965 0.26423642 0.47601411], Predicted=[0.80310743 0.19689257] X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518] X=[-0.53898711 0.31511748 -0.6131152 1.34250842 0.01042052 1.27558973 1.56821604 1.16117892 -0.12098299 -0.69971036 -0.74300757], Predicted=[0.91977547 0.08022453] X=[ 2.42386320e+00 6.12783009e-01 -1.17277959e-01 -1.00391890e+00 -2.18457080e-01 -1.37062835e+00 1.16815698e+00 4.25540977e-01 -1.20982993e-01 1.34184656e-03 -8.24275678e-01], Predicted=[0.97043079 0.02956921] X=[-1.01304317 -0.0817699 -1.19159198 -0.9250474 -1.179743 -0.6649702 -0.66740811 -1.41355388 0.87249197 -0.17392121 1.69503579], Predicted=[0.40211427 0.59788573] X=[-0.77601514 -0.0817699 1.12231514 -1.02363678 4.58797251 -0.42975081 -0.78507254 -0.59766453 0.27640699 0.1766049 -0.33666701], Predicted=[0.98224002 0.01775998] X=[-0.06493106 -1.07398834 0.04800112 -0.86589377 -0.2642326 0.15829765 -0.64387523 -1.34667771 0.34263866 -0.34918426 1.93884012], Predicted=[0.34904443 0.65095557] X=[ 0.64615301 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.72377504 -0.66740811 -0.47728741 -0.78329963 -0.96260494 0.31347789], Predicted=[0.90444556 0.09555444] X=[ 0.17209696 -0.28021359 -0.03463842 -0.84617589 -1.13396748 -1.07660412 -1.46752623 -1.27645772 0.47510198 -0.34918426 1.45123145], Predicted=[0.41436143 0.58563857] X=[-0.65750113 0.01745194 -0.77839428 0.40590928 -0.67621228 -0.19453143 0.79163081 0.59273142 1.33611362 0.70239405 -0.66173945], Predicted=[0.83322057 0.16677943] X=[-0.77601514 0.8112267 0.37855928 -0.62927925 -0.67621228 -0.90018958 -1.16159871 -1.4938053 -0.8495313 -1.40076257 1.20742712], Predicted=[0.72379149 0.27620851] X=[-0.53898711 -1.47087572 -0.44783612 -1.08279041 -0.035355 -0.19453143 -1.20866448 -0.76151116 1.86596693 0.26423642 0.55728222], Predicted=[0.57272535 0.42727465] X=[ 0.17209696 -0.47865728 0.2132802 0.13971794 -0.81353884 -0.25333627 -0.80860543 -0.61103976 1.07118696 -0.17392121 1.28869523], Predicted=[0.30401151 0.69598849] X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[ 0.88318104 -0.0817699 -0.36519658 -0.76730438 0.60550228 0.09949281 -0.54974368 -0.24990841 -0.6508363 -1.05023647 -0.58047134], Predicted=[0.93905899 0.06094101] X=[ 0.527639 -1.47087572 -0.53047566 -0.35322897 1.5667882 -0.07692173 0.79163081 -0.07603035 0.27640699 -0.87497341 0.47601411], Predicted=[0.84709321 0.15290679] X=[-0.4204731 -1.27243203 1.78343147 -0.09689658 -0.035355 2.33407697 0.55630195 0.26503815 -1.44561627 -0.78734189 -0.9868119 ], Predicted=[0.94503883 0.05496117] X=[-0.53898711 0.01745194 0.6264779 0.08056431 -0.035355 1.51080912 1.82707778 0.39210289 -0.6508363 -0.26155273 -0.90554379], Predicted=[0.95198712 0.04801288] X=[ 0.29061097 1.60500145 -0.53047566 0.39605034 0.51395124 1.45200427 0.50923618 -0.48731884 -0.18721466 -1.13786799 1.04489089], Predicted=[0.69852536 0.30147464] X=[ 1.23872307 -0.9747665 0.29591974 -1.02363678 -0.2642326 -1.13540897 -1.49105911 -0.67791594 -0.05475133 1.22818321 0.23220977], Predicted=[0.67697315 0.32302685] X=[-0.53898711 1.80344514 -0.94367336 1.63827657 0.05619604 0.92276066 1.05049255 1.42032411 1.33611362 0.96528863 -0.01159456], Predicted=[0.85278451 0.14721549] X=[ 1.23872307 0.91044854 -0.1999175 -0.69829181 -0.40155916 -1.78226228 -2.69123629 -0.97885873 0.01148034 -1.13786799 1.126159 ], Predicted=[0.68352624 0.31647376] X=[ 0.40912499 2.99410727 -0.53047566 -0.11661445 -0.63043676 0.27590734 -0.47914502 -1.05242253 -0.12098299 0.35186795 2.02010823], Predicted=[0.52782635 0.47217365] X=[ 0.527639 -0.77632281 0.87439652 -0.98420103 -0.035355 -0.84138474 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=[0.88713909 0.11286091] X=[-0.53898711 -0.57787912 -0.11727796 0.15943582 -0.81353884 -1.19421382 -1.30279603 -0.34353506 -0.38590965 0.527131 0.31347789], Predicted=[0.66863707 0.33136293] X=[ 2.30534919 -0.77632281 0.79175698 1.6974302 0.33084916 1.45200427 1.07402544 2.26463584 0.60756531 2.63028763 -1.39315246], Predicted=[0.81447335 0.18552665] X=[ 1.23872307 0.51356116 -0.44783612 4.97059773 0.33084916 -0.01811689 0.88576235 5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=[0.98985959 0.01014041] X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388] X=[ 0.76466702 1.00967039 -0.36519658 -0.29407534 -1.13396748 0.15829765 -0.59680945 -1.25973868 -0.71706797 -0.08628968 2.02010823], Predicted=[0.336836 0.663164] X=[ 1.71277913 -1.17321019 0.29591974 0.29746096 -0.9508654 0.15829765 -0.73800677 -0.3234722 -1.71054293 -1.05023647 1.126159 ], Predicted=[0.48078942 0.51921058] X=[-0.18344508 -0.47865728 -1.35687106 -1.0039189 0.69705332 -1.25301866 -0.90273697 -0.5107255 -0.78329963 0.527131 -0.82427568], Predicted=[0.94195378 0.05804622] X=[ 1.59426511 3.2917728 0.95703606 -0.19548596 -0.7219878 -1.19421382 -0.47914502 0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=[0.98338671 0.01661329] X=[-0.4204731 1.60500145 1.12231514 -0.18562702 -1.45439612 0.51112673 -0.0320202 -1.40017865 -0.38590965 -1.48839409 2.02010823], Predicted=[0.47457425 0.52542575] X=[-0.06493106 0.8112267 -0.11727796 -0.94476527 -0.31000812 -1.48823805 -0.33794771 0.25835054 0.74002864 1.57870931 -0.74300757], Predicted=[0.96374743 0.03625257] X=[ 0.29061097 -0.67710097 -0.03463842 -1.02363678 -0.31000812 -0.07692173 -0.97333563 -0.97217112 -0.51837298 2.27976152 0.55728222], Predicted=[0.5947518 0.4052482] X=[ 1.12020906 -0.67710097 0.04800112 1.08617602 -0.31000812 1.15798004 0.03857846 0.62616951 -1.11445795 -1.57602562 -0.17413078], Predicted=[0.77293543 0.22706457] X=[-1.25007119 -1.27243203 -0.44783612 -1.10250829 -0.40155916 0.45232188 -0.26734905 -0.68460356 0.34263866 0.1766049 -0.9868119 ], Predicted=[0.86340726 0.13659274] X=[-0.77601514 -0.0817699 -0.11727796 -0.01802507 0.10197156 0.68754127 0.48570329 -0.40372361 0.14394366 0.96528863 0.394746 ], Predicted=[0.70036051 0.29963949] X=[ 0.05358295 -0.28021359 -0.77839428 -0.90532952 0.33084916 -1.72345743 -0.40854637 -0.34353506 0.27640699 1.84160389 0.71981845], Predicted=[0.83736849 0.16263151] X=[ 0.17209696 -0.47865728 -0.6131152 0.15943582 -0.21845708 -0.84138474 -1.13806583 0.35532099 0.21017533 0.527131 -0.82427568], Predicted=[0.85576155 0.14423845] X=[-0.18344508 0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112 -1.30279603 -1.79140428 -0.6508363 -1.13786799 1.85757201], Predicted=[0.45293352 0.54706648] X=[-0.30195909 1.70422329 0.79175698 0.15943582 0.83437988 -0.25333627 1.12109121 0.45897907 -0.45214131 -0.43681578 -0.90554379], Predicted=[0.98402886 0.01597114] X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034] X=[-0.06493106 -0.0817699 -0.36519658 -0.35322897 0.01042052 -1.72345743 -1.1851316 0.18478674 1.0049553 -0.08628968 0.06967355], Predicted=[0.89590279 0.10409721] X=[ 1.23872307 -1.17321019 2.52718733 2.09178773 0.1935226 1.98124789 1.68588046 2.13088348 -0.25344632 0.1766049 -0.9868119 ], Predicted=[0.87769249 0.12230751] X=[ 2.54237721 2.69644174 -0.28255704 0.33689671 -0.90508988 -1.25301866 -1.58519066 -0.34353506 -1.64431127 -1.13786799 1.04489089], Predicted=[0.77092588 0.22907412] X=[-0.4204731 -0.18099175 -0.11727796 0.0509875 0.60550228 -0.07692173 -0.80860543 -0.49735026 -0.05475133 -0.61207884 0.47601411], Predicted=[0.75193211 0.24806789] X=[ 0.88318104 0.41433932 0.2132802 -0.94476527 -0.2642326 -0.19453143 0.39157175 -0.34353506 0.27640699 0.26423642 0.63855033], Predicted=[0.85010452 0.14989548] X=[ 0.17209696 -0.77632281 1.28759423 -0.09689658 -0.35578364 0.2171025 -0.24381617 -0.07603035 0.14394366 -0.08628968 0.23220977], Predicted=[0.76175588 0.23824412] X=[-0.53898711 -0.0817699 -0.11727796 -0.37294685 8.89087138 1.51080912 0.83869658 0.25835054 -0.45214131 -0.08628968 -0.90554379], Predicted=[0.99782605 0.00217395] X=[-1.13155718 -0.57787912 0.95703606 3.19598883 3.39780899 1.15798004 -0.38501348 0.77998471 -0.58460464 -1.22549952 1.85757201], Predicted=[0.52243311 0.47756689] X=[-1.48709922 2.10111067 -1.68742922 -0.37294685 -0.31000812 -1.07660412 -0.5262108 -1.11261109 1.53480861 3.59423441 2.58898502], Predicted=[0.31580323 0.68419677] X=[-1.25007119 -0.57787912 -0.69575474 -0.96448315 -0.99664092 -0.84138474 -0.690941 -0.56422644 1.20365029 0.79002558 -0.09286267], Predicted=[0.77911766 0.22088234] X=[ 1.83129314 0.71200485 3.10566411 1.14532965 0.01042052 -0.78257989 0.50923618 1.39524554 -1.37938461 1.40344626 -0.90554379], Predicted=[0.95771258 0.04228742] X=[-1.72412724e+00 1.70422329e+00 -5.30475661e-01 1.69280668e-03 -5.84661239e-01 -9.00189583e-01 -8.55671197e-01 -1.53393100e+00 2.10175327e-01 -1.92655172e+00 2.34518068e+00], Predicted=[0.51198057 0.48801943] X=[-0.06493106 -0.77632281 -0.53047566 -1.02363678 -0.53888572 -0.95899443 -1.65578931 -1.27980153 -0.31967798 -1.05023647 0.96362278], Predicted=[0.63831112 0.36168888] X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=[0.46478745 0.53521255] X=[-0.4204731 0.8112267 -1.4395106 -1.0039189 0.37662468 -1.4294332 -0.73800677 -0.01584179 0.01148034 -0.87497341 -1.6369568 ], Predicted=[0.98726384 0.01273616] X=[-0.4204731 1.20811407 -0.1999175 -0.57012562 0.01042052 -0.78257989 0.20330866 -1.26642629 -0.25344632 -1.57602562 1.20742712], Predicted=[0.78518182 0.21481818] X=[-0.30195909 2.3987762 0.87439652 1.14532965 0.10197156 1.09917519 2.50953147 1.16117892 0.47510198 0.43949948 -0.9868119 ], Predicted=[0.9633602 0.0366398] X=[ 0.17209696 -0.37943543 0.13064066 -1.06307253 -0.63043676 0.39351704 -0.80860543 -1.38680341 -0.18721466 -1.05023647 0.96362278], Predicted=[0.57809209 0.42190791] X=[-0.06493106 -1.27243203 -0.03463842 -0.3335111 0.60550228 -0.25333627 -0.47914502 0.52585524 1.60104027 -0.87497341 -1.23061624], Predicted=[0.93123124 0.06876876] X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=[0.88343897 0.11656103] X=[ 0.76466702 0.71200485 0.29591974 -0.76730438 0.92593092 -0.37094597 -1.16159871 -1.46705482 -0.31967798 -0.61207884 1.7763039 ], Predicted=[0.59112265 0.40887735] X=[-1.3685852 -0.23060267 2.60982687 -1.02363678 1.52101268 -1.07660412 -0.0320202 -0.32012839 0.077712 -0.61207884 -0.90554379], Predicted=[0.98750544 0.01249456] X=[-1.01304317 -0.37943543 -0.11727796 -0.01802507 -0.7219878 -0.07692173 -0.22028328 0.19147436 2.19712525 -0.69971036 -0.09286267], Predicted=[0.77264188 0.22735812] X=[-0.18344508 -0.0817699 -0.1999175 1.83545534 -0.44733468 0.51112673 0.95636101 1.29493128 0.47510198 0.61476253 -0.74300757], Predicted=[0.75993173 0.24006827] X=[-0.89452915 -0.0817699 0.87439652 0.06084644 -0.21845708 1.51080912 2.15653818 0.34194576 -0.45214131 -0.78734189 -1.31188435], Predicted=[0.96122467 0.03877533] X=[-0.65750113 -0.87554465 -1.0263129 -0.90532952 0.14774708 -0.01811689 0.57983483 -0.54416359 0.8062603 0.08897337 -0.17413078], Predicted=[0.82507931 0.17492069] X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852] X=[ 3.01643326 -1.17321019 -0.86103382 -0.94476527 -0.17268156 -1.25301866 -1.6793222 0.05772201 -0.78329963 -1.48839409 -0.82427568], Predicted=[0.90632118 0.09367882] X=[ 0.527639 -0.67710097 -0.36519658 -0.94476527 -0.53888572 -0.37094597 -0.47914502 -0.7782302 0.74002864 0.08897337 0.394746 ], Predicted=[0.6255981 0.3744019] X=[-0.77601514 -0.77632281 -0.6131152 -1.04335466 0.05619604 0.39351704 -0.45561214 -0.81835591 1.93219859 0.96528863 0.394746 ], Predicted=[0.58386287 0.41613713] X=[-0.18344508 1.00967039 -0.6131152 0.62280592 -0.44733468 -0.01811689 -1.11453294 -0.71135403 -1.37938461 -1.05023647 1.53249956], Predicted=[0.57360861 0.42639139] X=[-0.18344508 0.21589563 0.13064066 -0.98420103 6.14434019 0.04068796 0.50923618 -0.10946844 -0.51837298 0.43949948 -0.90554379], Predicted=[0.99602096 0.00397904] X=[ 0.40912499 0.21589563 -0.6131152 -0.96448315 -0.21845708 0.62873642 0.93282812 -0.83173115 0.01148034 0.61476253 0.63855033], Predicted=[0.72193014 0.27806986] X=[ 1.12020906 -0.67710097 1.28759423 -1.02363678 -0.44733468 -0.90018958 -0.92626985 -1.34667771 -0.91576296 -1.8389202 1.28869523], Predicted=[0.66252878 0.33747122] X=[ 0.05358295 0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605 -0.33794771 0.08447248 -0.05475133 0.08897337 -0.9868119 ], Predicted=[0.94818415 0.05181585] X=[ 0.88318104 2.3987762 1.28759423 1.50025143 -0.53888572 0.09949281 0.41510463 0.59273142 -0.31967798 -0.96260494 1.04489089], Predicted=[0.78937583 0.21062417] X=[ 0.88318104 0.31511748 -0.36519658 0.81012575 -0.2642326 -0.84138474 0.15624289 0.86023613 -0.98199462 -1.22549952 -0.90554379], Predicted=[0.94662914 0.05337086] X=[ 0.40912499 0.31511748 0.13064066 0.15943582 0.01042052 0.56993158 0.93282812 0.49241715 -0.31967798 0.35186795 -0.66173945], Predicted=[0.9229494 0.0770506] X=[-0.30195909 2.79566358 -0.94367336 0.49463972 -0.53888572 -0.48855566 -0.12615174 0.91039326 0.077712 0.1766049 -1.14934812], Predicted=[0.97808769 0.02191231] X=[-0.53898711 -0.47865728 0.13064066 -0.35322897 -0.31000812 0.45232188 0.20330866 -0.624415 -0.05475133 -0.78734189 0.394746 ], Predicted=[0.75021995 0.24978005] X=[-1.13155718 -1.07398834 -0.36519658 -0.64899712 -0.7219878 -0.19453143 -0.3614806 -1.63758908 1.46857694 -1.40076257 2.58898502], Predicted=[0.18084109 0.81915891] X=[-0.53898711 -0.67710097 -0.28255704 -0.15605021 -0.08113052 0.45232188 0.50923618 0.29178862 2.72697856 -0.69971036 0.06967355], Predicted=[0.75405301 0.24594699] X=[ 0.76466702 1.00967039 -0.36519658 1.24391904 0.1935226 -0.60616535 1.66234758 1.52899789 0.40887032 0.87765711 -0.9868119 ], Predicted=[0.94394251 0.05605749] X=[-0.77601514 -1.17321019 1.12231514 -0.98420103 -0.76776332 -0.72377504 -1.3498618 -1.34667771 0.47510198 -0.61207884 1.36996334], Predicted=[0.50711287 0.49288713] X=[-0.06493106 -0.37943543 -0.1999175 2.34812013 0.01042052 0.27590734 0.08564423 1.99713113 0.74002864 -0.69971036 -1.47442057], Predicted=[0.88458132 0.11541868] X=[ 0.76466702 -0.37943543 -0.36519658 -1.04335466 0.01042052 -0.07692173 -1.27926314 -1.27980153 -0.98199462 -0.87497341 0.7604525 ], Predicted=[0.69447099 0.30552901] X=[ 0.64615301 0.91044854 0.13064066 -0.13633233 0.69705332 -1.37062835 -1.04393428 0.82679804 1.93219859 1.75397237 0.15094166], Predicted=[0.91234277 0.08765723] X=[-0.30195909 -0.67710097 -0.28255704 0.69181849 -0.21845708 1.68722366 0.83869658 0.32522671 -0.78329963 0.08897337 -0.33666701], Predicted=[0.77884801 0.22115199] X=[-1.13155718 -1.07398834 -0.44783612 -1.12222616 -0.85931436 -1.78226228 -2.59710474 -1.39683484 -0.38590965 -1.48839409 0.06967355], Predicted=[0.77561341 0.22438659] X=[-1.13155718 -0.0817699 -0.53047566 0.5143576 0.23929812 0.45232188 -0.05555308 0.02428392 0.40887032 0.35186795 0.15094166], Predicted=[0.75175545 0.24824455] X=[-1.48709922 -0.9747665 2.03135009 -1.01377784 -0.53888572 -0.37094597 -0.22028328 -1.40017865 2.13089358 0.96528863 1.20742712], Predicted=[0.37628256 0.62371744] X=[-1.13155718 -0.0817699 -0.11727796 -0.86589377 -0.53888572 -0.25333627 -0.8556712 -1.50718053 -0.18721466 0.61476253 1.45123145], Predicted=[0.5112962 0.4887038] X=[ 1.23872307 1.40655776 1.28759423 0.35661459 0.46817572 -0.19453143 0.60336772 0.82679804 0.67379698 0.96528863 0.55728222], Predicted=[0.90513907 0.09486093] X=[-0.4204731 -0.9747665 1.20495468 2.2889665 0.37662468 1.21678489 1.05049255 2.12419587 -1.37938461 1.05292016 -1.6369568 ], Predicted=[0.95002681 0.04997319] X=[ 0.88318104 1.20811407 -0.53047566 -0.23492171 -0.7219878 -0.19453143 -0.87920408 -0.77154259 0.21017533 1.14055168 1.45123145], Predicted=[0.42535357 0.57464643] X=[-1.01304317 -0.37943543 0.04800112 -1.06307253 -0.44733468 0.9815655 1.07402544 -1.02232825 1.66727194 -0.43681578 0.7604525 ], Predicted=[0.62975989 0.37024011] X=[-0.53898711 1.00967039 -0.6131152 0.35661459 -0.12690604 -0.42975081 -0.94980274 -0.56422644 -1.31315295 -1.57602562 0.71981845], Predicted=[0.82897513 0.17102487] X=[-0.53898711 3.14294004 -1.60478968 -0.23492171 0.55972676 -1.19421382 -0.97333563 0.3586648 1.26988195 -1.13786799 -1.23061624], Predicted=[0.98645723 0.01354277] X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315 0.05619604 -0.48855566 -0.14968462 -0.24322079 0.47510198 -0.43681578 -0.01159456], Predicted=[0.90272325 0.09727675] X=[ 0.17209696 -0.57787912 -0.11727796 -0.94476527 -0.035355 0.27590734 -0.43207925 -0.87854447 -1.37938461 -0.43681578 -0.01159456], Predicted=[0.86001258 0.13998742] X=[-0.89452915 -0.87554465 -0.69575474 -0.47153623 -1.04241644 -0.72377504 -0.62034234 -0.57760167 1.20365029 0.1766049 0.88235467], Predicted=[0.53687519 0.46312481] X=[-1.25007119 -0.0817699 -0.94367336 1.24391904 0.55972676 0.39351704 1.59174892 0.19147436 0.87249197 -0.96260494 1.45123145], Predicted=[0.59032623 0.40967377] X=[-0.65750113 -0.47865728 -0.28255704 -0.90532952 -0.58466124 -1.13540897 -1.11453294 -1.14604918 0.60756531 -0.78734189 1.04489089], Predicted=[0.63696681 0.36303319] X=[-0.65750113 1.00967039 -1.35687106 0.47492185 1.5667882 0.86395581 1.73294624 1.33840079 1.86596693 1.49107779 -0.90554379], Predicted=[0.96453557 0.03546443] X=[-0.65750113 0.21589563 -1.10895244 -0.53068986 -0.31000812 -0.07692173 -0.14968462 -0.81835591 -1.24692128 -0.96260494 0.15094166], Predicted=[0.87164972 0.12835028] X=[-1.01304317 0.61278301 -0.36519658 -0.05746082 0.01042052 -0.37094597 -0.10261885 0.19816198 1.93219859 0.70239405 0.15094166], Predicted=[0.83857038 0.16142962] X=[-0.89452915 -1.17321019 -0.77839428 -0.98420103 0.01042052 -1.07660412 -1.44399334 -0.28000269 3.12436854 0.70239405 -0.17413078], Predicted=[0.70987047 0.29012953] X=[ 0.17209696 2.69644174 -2.34854555 0.31717883 -0.44733468 -0.95899443 0.60336772 -0.44719313 0.47510198 -0.26155273 1.36996334], Predicted=[0.68327707 0.31672293] X=[ 1.12020906 1.40655776 -0.86103382 0.47492185 0.37662468 0.39351704 1.80354489 1.02742657 -1.11445795 0.79002558 -1.06808001], Predicted=[0.97243024 0.02756976] X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313] X=[ 0.88318104 -0.0817699 1.53551285 -0.62927925 -0.12690604 -0.42975081 0.32097309 -0.91532637 -1.11445795 0.35186795 0.71981845], Predicted=[0.74569038 0.25430962] X=[-1.01304317 0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112 -0.57327657 -2.03550233 -0.71706797 -0.52444731 2.18264446], Predicted=[0.40412658 0.59587342] X=[ 0.29061097 -0.67710097 -0.11727796 -0.82645801 -0.40155916 -0.42975081 0.06211135 -0.34353506 0.077712 0.70239405 -0.41793512], Predicted=[0.8430576 0.1569424] X=[ 0.64615301 -0.77632281 -0.44783612 0.53407548 0.05619604 -0.37094597 -1.0204014 0.43222859 -0.18721466 -0.17392121 -0.58047134], Predicted=[0.8069425 0.1930575] X=[-2.55372533 0.56317209 -1.60478968 -1.0039189 -0.44733468 1.98124789 0.69749926 -0.63779023 1.86596693 -0.26155273 -0.01159456], Predicted=[0.85081446 0.14918554] X=[-0.4204731 0.01745194 -0.69575474 -0.31379322 -0.76776332 1.09917519 -0.24381617 -1.09923585 -0.12098299 -0.43681578 1.36996334], Predicted=[0.41476796 0.58523204] X=[ 2.77940524 -0.28021359 0.04800112 -1.02363678 -0.90508988 -0.25333627 -1.06746717 -0.81166829 -1.71054293 -1.05023647 0.63855033], Predicted=[0.72293444 0.27706556] X=[ 0.29061097 -0.18099175 -0.11727796 1.93404472 -0.08113052 -0.25333627 0.74456503 0.80673518 -0.12098299 -1.05023647 0.55728222], Predicted=[0.62942465 0.37057535] X=[-0.06493106 -0.87554465 0.54383836 0.68195955 0.4224002 0.33471219 -0.83213831 0.43222859 -1.37938461 0.61476253 -0.01159456], Predicted=[0.84902516 0.15097484] X=[-0.18344508 1.70422329 -0.28255704 -0.21520384 -0.44733468 -0.48855566 0.62690061 -0.93873303 -0.45214131 -0.26155273 1.36996334], Predicted=[0.72664368 0.27335632] X=[-1.01304317 0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443 -0.43207925 -1.50718053 0.87249197 -0.69971036 1.7763039 ], Predicted=[0.51806429 0.48193571] X=[ 0.64615301 -0.77632281 -0.03463842 -0.88561164 -0.4931102 0.2171025 -0.00848731 -1.01229682 -0.12098299 -0.43681578 0.96362278], Predicted=[0.56868623 0.43131377] X=[-0.53898711 -0.18099175 -1.0263129 0.13971794 -0.2642326 -0.01811689 0.55630195 0.52585524 1.33611362 0.79002558 -0.49920323], Predicted=[0.84482807 0.15517193] X=[ 0.76466702 -1.37165388 0.04800112 -1.0039189 0.4224002 0.86395581 0.34450598 0.15803627 0.67379698 2.71791915 -0.74300757], Predicted=[0.84044708 0.15955292] X=[ 0.88318104 -0.9747665 -0.44783612 0.13971794 -0.21845708 -0.37094597 -0.66740811 0.83348566 0.077712 -0.61207884 -1.06808001], Predicted=[0.92106245 0.07893755] X=[ 0.05358295 -0.28021359 0.13064066 0.55379335 -0.53888572 0.39351704 0.27390732 0.22491245 0.14394366 -1.13786799 0.80108656], Predicted=[0.71512359 0.28487641] X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 -0.25333627 -0.50267791 1.3785265 0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599] X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534] X=[-0.06493106 -0.67710097 0.29591974 0.12000007 -0.35578364 -0.48855566 -0.73800677 -0.65785309 -1.37938461 2.8931822 0.80108656], Predicted=[0.46209095 0.53790905] X=[ 0.17209696 -0.28021359 1.86607101 -0.86589377 -0.4931102 -0.90018958 -1.0204014 -0.74479212 0.27640699 0.35186795 0.394746 ], Predicted=[0.77392317 0.22607683] X=[-1.48709922 -0.92515558 -1.19159198 0.13971794 0.10197156 0.04068796 -0.66740811 0.11791056 0.47510198 -0.69971036 -0.82427568], Predicted=[0.88090727 0.11909273] X=[-1.3685852 -0.0817699 -1.4395106 0.5143576 0.33084916 -0.19453143 -0.64387523 0.23828768 1.13741862 -1.05023647 -0.09286267], Predicted=[0.83772597 0.16227403] X=[ 0.17209696 0.01745194 -0.44783612 -0.98420103 -0.31000812 -1.37062835 -1.30279603 -0.76819878 -0.05475133 1.40344626 0.47601411], Predicted=[0.76430129 0.23569871] X=[-6.57501128e-01 2.15895632e-01 4.75845492e+00 3.56614587e-01 -5.38885719e-01 8.63955809e-01 1.42701872e+00 -2.92170247e-02 1.33611362e+00 1.34184656e-03 9.63622781e-01], Predicted=[0.71661208 0.28338792] X=[-0.53898711 0.31511748 -0.44783612 -0.96448315 -0.40155916 -1.37062835 -0.45561214 -0.71135403 0.87249197 0.1766049 -0.09286267], Predicted=[0.85346728 0.14653272] X=[ 0.76466702 -0.47865728 0.13064066 2.24953075 0.55972676 5.45073383 1.73294624 2.80298906 1.66727194 -0.52444731 -1.31188435], Predicted=[0.87040927 0.12959073] X=[ 0.17209696 0.71200485 -0.28255704 0.02141068 -0.81353884 -0.48855566 -1.20866448 -0.14290653 1.40234528 -0.61207884 0.71981845], Predicted=[0.6503348 0.3496652] X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205] X=[ 0.05358295 0.61278301 0.2132802 -0.98420103 -0.63043676 -1.31182351 0.15624289 -0.63110262 -0.78329963 0.26423642 -0.58047134], Predicted=[0.9372616 0.0627384] X=[ 0.05358295 0.41433932 -1.4395106 -0.98420103 0.23929812 -1.19421382 -0.99686851 -0.00915417 0.21017533 -0.96260494 -0.82427568], Predicted=[0.9715361 0.0284639] X=[-6.49310643e-02 -8.17699008e-02 -7.78394281e-01 -3.53228973e-01 2.39074755e+00 4.06879593e-02 -2.67349053e-01 3.09715344e-02 -2.53446321e-01 1.34184656e-03 -7.43007566e-01], Predicted=[0.96285865 0.03714135] X=[ 0.05358295 0.71200485 1.78343147 1.09603496 -0.35578364 -0.78257989 -0.64387523 0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=[0.95770371 0.04229629] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[ 0.527639 -0.18099175 -0.03463842 2.25938968 0.14774708 0.36411461 1.33288718 1.99713113 -0.8495313 -0.43681578 -1.14934812], Predicted=[0.93414421 0.06585579] X=[-1.13155718 0.8112267 -2.43118509 -0.13633233 0.01042052 -0.84138474 -1.20866448 -0.2097827 0.21017533 0.1766049 -0.2553989 ], Predicted=[0.88390858 0.11609142] X=[ 0.40912499 1.90266698 2.60982687 0.37633246 1.70411476 -0.48855566 1.02695966 0.79335995 -1.24692128 -1.22549952 -1.06808001], Predicted=[0.99512333 0.00487667] X=[-0.89452915 -0.57787912 -0.44783612 2.00305729 0.60550228 1.09917519 -0.07908597 0.87695517 0.077712 -0.96260494 -0.01159456], Predicted=[0.69612615 0.30387385] X=[ 0.40912499 0.41433932 -0.03463842 -0.98420103 -0.76776332 -0.37094597 -0.690941 -1.27980153 -0.25344632 0.1766049 1.85757201], Predicted=[0.52398785 0.47601215] X=[-0.53898711 -0.9747665 -0.11727796 0.63266486 0.28507364 -0.6649702 -1.13806583 0.75992186 1.07118696 0.00134185 -0.90554379], Predicted=[0.86735213 0.13264787] X=[-0.53898711 0.41433932 -0.1999175 -0.88561164 -0.40155916 -0.07692173 -0.29088194 -1.34667771 -0.8495313 -0.34918426 1.04489089], Predicted=[0.73077638 0.26922362] X=[ 0.17209696 -1.17321019 -0.69575474 1.55940506 -0.08113052 -0.48855566 0.25037443 1.32836936 -1.84300626 -0.26155273 -1.06808001], Predicted=[0.92558289 0.07441711] X=[ 0.527639 0.11667379 0.29591974 0.37633246 -0.08113052 0.56993158 2.08593952 0.86023613 -0.45214131 -0.17392121 -1.23061624], Predicted=[0.95773382 0.04226618] X=[-0.53898711 -0.77632281 -0.11727796 -0.64899712 -0.21845708 -1.01779928 -0.29088194 -0.87854447 1.60104027 -0.61207884 1.20742712], Predicted=[0.53725209 0.46274791] X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=[0.55496824 0.44503176] X=[-1.13155718 -1.27243203 -0.1999175 -0.11661445 -0.21845708 1.04037035 0.39157175 0.15803627 2.19712525 -0.26155273 -0.01159456], Predicted=[0.7016683 0.2983317] X=[-2.43521132 0.11667379 -0.86103382 -1.04335466 -0.08113052 0.15829765 0.97989389 -1.60080718 0.60756531 -1.31313104 1.126159 ], Predicted=[0.74575767 0.25424233] X=[-0.65750113 0.51356116 -0.53047566 -1.02363678 0.01042052 -0.07692173 0.86222946 -0.2097827 1.20365029 0.43949948 -0.90554379], Predicted=[0.94256357 0.05743643] X=[-0.30195909 0.21589563 3.35358273 -0.35322897 -0.21845708 0.04068796 0.48570329 0.19147436 0.14394366 -0.34918426 -0.49920323], Predicted=[0.95933049 0.04066951] X=[-0.30195909 -0.9747665 -0.44783612 -0.9250474 -0.21845708 1.04037035 0.53276906 -0.65450928 -0.38590965 -0.34918426 -0.2553989 ], Predicted=[0.83494919 0.16505081] X=[-6.49310643e-02 -3.79435433e-01 5.43838363e-01 -9.05329520e-01 5.61960394e-02 -7.69217335e-02 -7.85072540e-01 -1.34667771e+00 -3.85909649e-01 1.34184656e-03 1.85757201e+00], Predicted=[0.54003324 0.45996676] X=[-1.3685852 -0.57787912 -0.69575474 -1.04335466 0.1935226 3.62778359 0.86222946 -1.01564063 1.66727194 1.14055168 0.47601411], Predicted=[0.47829391 0.52170609] X=[-1.72412724 0.11667379 0.37855928 -1.02363678 -0.76776332 -0.25333627 -0.14968462 -1.69777763 0.60756531 -1.13786799 1.53249956], Predicted=[0.58382876 0.41617124] X=[ 0.17209696 -0.0817699 0.2132802 2.82134917 -0.035355 0.56993158 0.74456503 2.33151201 -1.24692128 -0.34918426 -1.39315246], Predicted=[0.94077571 0.05922429] X=[-0.4204731 0.51356116 -0.44783612 -0.05746082 -1.27129404 0.33471219 -0.83213831 -0.93873303 0.34263866 -1.48839409 1.36996334], Predicted=[0.44695427 0.55304573] X=[ 2.06832116 0.61278301 0.2132802 -0.98420103 -0.035355 -1.4294332 -0.45561214 0.51248001 -0.12098299 -0.17392121 -0.90554379], Predicted=[0.97802865 0.02197135] X=[-0.53898711 -0.0817699 1.28759423 0.1791537 0.01042052 1.04037035 1.59174892 0.52585524 0.34263866 -0.52444731 -1.06808001], Predicted=[0.94716692 0.05283308] X=[-0.06493106 -0.18099175 -0.03463842 -0.96448315 0.05619604 0.51112673 0.67396638 -0.41041123 -0.45214131 -0.43681578 -0.01159456], Predicted=[0.9226951 0.0773049] X=[-1.3685852 0.31511748 -0.36519658 0.1791537 0.1935226 -0.13572658 0.10917712 -0.23653317 0.8062603 0.08897337 0.44892474], Predicted=[0.7825118 0.2174882] X=[-0.89452915 1.50577961 0.13064066 0.53407548 0.60550228 2.80451574 2.60366301 1.02742657 1.20365029 0.08897337 -1.6369568 ], Predicted=[0.96984184 0.03015816] X=[ 1.94980715 -1.07398834 -0.1999175 -1.06307253 -0.99664092 -1.31182351 -1.11453294 -0.34353506 -2.63778623 -1.05023647 -0.33666701], Predicted=[0.93193818 0.06806182] X=[-1.48709922 -0.5282682 -0.77839428 0.67210061 0.37662468 1.39319943 0.03857846 0.47569811 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.88963455 0.11036545] X=[-0.30195909 -0.0817699 -0.1999175 -0.21520384 4.17599283 -0.01811689 0.57983483 0.3586648 0.077712 -0.96260494 -0.9868119 ], Predicted=[0.99026798 0.00973202] X=[ 0.05358295 0.21589563 -1.0263129 0.15943582 -0.035355 1.09917519 1.21522275 0.64288855 0.21017533 -0.08628968 -0.90554379], Predicted=[0.92723577 0.07276423] X=[-1.01304317 0.01745194 0.04800112 -0.94476527 3.35203347 -0.13572658 -0.80860543 -0.64447785 0.01148034 -0.96260494 -0.2553989 ], Predicted=[0.97640896 0.02359104] X=[-0.18344508 -0.87554465 0.46119882 -1.06307253 -0.63043676 -1.25301866 -1.58519066 -1.64093288 0.8062603 -0.96260494 2.02010823], Predicted=[0.33793466 0.66206534] X=[ 0.17209696 -1.47087572 -0.28255704 -0.27435747 0.46817572 -0.25333627 -0.38501348 0.15803627 1.86596693 -0.61207884 -0.01159456], Predicted=[0.75342928 0.24657072] X=[-2.19818329e+00 3.15117476e-01 -2.76174325e+00 1.69280668e-03 1.04205195e-02 4.52321884e-01 6.50433492e-01 -9.15417164e-03 7.40028640e-01 1.22818321e+00 -4.99203231e-01], Predicted=[0.86312085 0.13687915] X=[ 0.05358295 0.41433932 -0.6131152 -0.80674014 -0.7219878 -1.4294332 -0.83213831 -0.99223397 -0.8495313 -0.61207884 0.47601411], Predicted=[0.82315918 0.17684082] X=[-0.06493106 -0.47865728 -0.28255704 -0.9250474 -0.12690604 -0.95899443 -1.0204014 -0.65450928 -0.12098299 -0.26155273 0.15094166], Predicted=[0.85222945 0.14777055] X=[ 0.527639 -0.18099175 -0.03463842 2.25938968 0.14774708 0.36411461 1.33288718 1.99713113 -0.8495313 -0.43681578 -1.14934812], Predicted=[0.93414421 0.06585579] X=[-0.4204731 -0.47865728 0.95703606 -0.84617589 -0.85931436 0.45232188 -0.80860543 -1.16611203 -1.11445795 0.26423642 0.63855033], Predicted=[0.68497939 0.31502061] X=[ 0.527639 -0.57787912 0.6264779 1.77630171 0.1935226 1.15798004 1.23875564 1.99713113 0.87249197 0.87765711 -1.31188435], Predicted=[0.88255732 0.11744268] X=[ 0.76466702 0.51356116 0.37855928 0.45520397 3.67246211 0.80515096 1.42701872 1.03077038 -1.37938461 0.70239405 -0.90554379], Predicted=[0.99049251 0.00950749] X=[ 2.4238632 0.21589563 0.13064066 -0.35322897 -0.63043676 -0.19453143 0.22684155 0.18478674 -0.25344632 -0.34918426 0.80108656], Predicted=[0.78870618 0.21129382] X=[ 0.17209696 1.80344514 -1.10895244 2.0326341 0.01042052 0.86395581 1.07402544 1.65606263 -0.71706797 0.61476253 -0.90554379], Predicted=[0.93304761 0.06695239] X=[-6.49310643e-02 1.16673788e-01 1.28759423e+00 -9.84201026e-01 4.40487043e+00 9.81565502e-01 2.26841548e-01 -1.09468437e-01 -7.17067969e-01 1.34184656e-03 -1.23061624e+00], Predicted=[0.99379159 0.00620841] X=[-1.3685852 1.50577961 -0.28255704 -0.13633233 -0.31000812 -0.6649702 -0.94980274 -0.67791594 2.32958858 1.05292016 1.45123145], Predicted=[0.51429967 0.48570033] X=[-0.77601514 0.21589563 -1.35687106 -0.70815075 -0.2642326 -0.6649702 -0.31441482 -0.04259226 -1.18068962 -0.26155273 -1.23061624], Predicted=[0.97689997 0.02310003] X=[-1.60561323 -0.37943543 0.95703606 -0.9250474 0.01042052 -0.78257989 -0.59680945 -0.59766453 0.21017533 -0.08628968 -0.41793512], Predicted=[0.93566996 0.06433004] X=[ 1.00169505 -1.17321019 1.28759423 -0.86589377 0.46817572 -0.90018958 -0.33794771 0.25835054 0.87249197 0.00134185 0.15094166], Predicted=[0.91121297 0.08878703] X=[-0.65750113 2.00188883 -2.43118509 -1.04335466 0.01042052 -0.31214112 -0.92626985 -0.41041123 0.34263866 -1.13786799 -0.74300757], Predicted=[0.97021995 0.02978005] X=[-0.06493106 0.41433932 0.29591974 -0.58984349 -1.04241644 -0.95899443 -1.20866448 -1.27980153 -0.31967798 0.35186795 1.7763039 ], Predicted=[0.45557184 0.54442816] X=[ 0.29061097 0.61278301 -1.52215014 -1.02363678 0.33084916 1.51080912 1.05049255 -0.14290653 -0.6508363 -0.52444731 -1.06808001], Predicted=[0.96721269 0.03278731] X=[ 0.76466702 -0.67710097 0.04800112 -1.02363678 0.6512778 -0.5473605 -0.64387523 -0.31009697 2.13089358 -0.17392121 0.15094166], Predicted=[0.78010892 0.21989108] X=[-0.06493106 0.31511748 -0.28255704 0.31717883 -0.81353884 -0.13572658 -0.38501348 -0.79829306 -0.38590965 1.22818321 1.69503579], Predicted=[0.30291163 0.69708837] X=[-0.53898711 -0.9747665 3.35358273 1.08617602 0.01042052 1.09917519 0.69749926 1.26149319 2.59451523 1.66634084 -0.33666701], Predicted=[0.71705412 0.28294588] X=[-1.13155718 -0.87554465 -0.6131152 0.19887157 -0.53888572 -0.13572658 -0.3614806 0.32522671 1.99843026 -0.61207884 -0.33666701], Predicted=[0.76325377 0.23674623] X=[ 0.17209696 0.21589563 1.45287331 1.42137993 0.1935226 0.27590734 0.69749926 1.19461701 -0.78329963 0.26423642 -0.74300757], Predicted=[0.92835481 0.07164519] X=[ 0.88318104 -0.9747665 0.2132802 -0.78702226 0.14774708 0.15829765 -0.3614806 0.6596076 2.72697856 -0.26155273 -0.17413078], Predicted=[0.87024711 0.12975289] X=[-0.89452915 0.51356116 -0.11727796 0.27774308 0.28507364 0.9815655 1.05049255 0.8502047 1.33611362 1.40344626 -0.82427568], Predicted=[0.92700357 0.07299643] X=[-0.53898711 -0.37943543 1.37023377 1.02702239 0.05619604 1.45200427 1.70941335 0.86023613 -0.05475133 0.70239405 -0.9868119 ], Predicted=[0.88474764 0.11525236] X=[-1.25007119 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 -1.04393428 -1.01229682 1.53480861 -0.61207884 1.04489089], Predicted=[0.54659454 0.45340546] X=[-0.77601514 0.41433932 -1.4395106 0.12000007 -0.035355 -0.31214112 -0.05555308 0.29178862 -0.05475133 -0.17392121 -0.74300757], Predicted=[0.93414834 0.06585166] X=[-2.07966928 1.40655776 -2.67910371 -0.96448315 -1.31706956 -0.60616535 -0.8556712 -1.54730624 1.26988195 -1.13786799 1.45123145], Predicted=[0.58464424 0.41535576] X=[ 1.71277913 -0.57787912 0.37855928 1.65799445 0.37662468 -0.19453143 -0.29088194 2.06400731 0.21017533 0.08897337 -0.66173945], Predicted=[0.90290155 0.09709845] X=[-0.4204731 -0.9747665 -0.03463842 -0.98420103 -0.76776332 -0.01811689 -0.00848731 -0.9654835 1.13741862 0.96528863 0.80108656], Predicted=[0.47967234 0.52032766] X=[-1.3685852 0.51356116 -1.52215014 -0.88561164 0.1935226 -0.90018958 -1.06746717 -0.2097827 1.26988195 1.14055168 -0.49920323], Predicted=[0.92484475 0.07515525] X=[-1.25007119 -0.0817699 -1.10895244 1.68757126 -0.08113052 -0.78257989 0.95636101 0.72648377 1.20365029 -1.05023647 -0.2553989 ], Predicted=[0.74212178 0.25787822] X=[ 3.3719753 -1.37165388 2.11398963 -0.96448315 0.14774708 -0.72377504 0.08564423 0.59273142 -1.37938461 1.14055168 -0.82427568], Predicted=[0.95294718 0.04705282] X=[ 0.29061097 -0.77632281 0.6264779 -0.84617589 0.37662468 -0.6649702 0.65043349 0.25835054 1.93219859 1.14055168 -0.01159456], Predicted=[0.87816907 0.12183093] X=[-0.18344508 -0.37943543 -0.36519658 1.67771232 0.33084916 1.15798004 -0.05555308 1.45877791 -1.04822629 0.26423642 -1.23061624], Predicted=[0.92081684 0.07918316] X=[ 0.76466702 -0.18099175 -0.28255704 -0.35322897 -0.85931436 -0.37094597 -1.09100005 -1.06245396 -0.25344632 -0.96260494 1.20742712], Predicted=[0.4260966 0.5739034] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[-0.53898711 0.51356116 0.87439652 0.49463972 0.4224002 0.9815655 0.60336772 0.28510101 -0.58460464 -0.08628968 -0.74300757], Predicted=[0.92915954 0.07084046] X=[-0.06493106 -0.57787912 0.2132802 -1.02363678 0.28507364 0.15829765 -0.26734905 -0.24322079 -0.98199462 0.43949948 -1.06808001], Predicted=[0.95894228 0.04105772] X=[ 0.05358295 -0.37943543 1.28759423 -1.0039189 -0.63043676 -0.01811689 0.22684155 -0.27665888 1.7335036 0.70239405 0.15094166], Predicted=[0.78654006 0.21345994] X=[ 0.76466702 -1.07398834 0.29591974 -0.96448315 0.6512778 -1.01779928 -1.49105911 -0.14290653 2.32958858 3.41897136 0.15094166], Predicted=[0.59471694 0.40528306] X=[-1.48709922 0.71200485 0.29591974 -1.06307253 -0.35578364 -1.72345743 -1.56165777 -1.27980153 1.20365029 -1.31313104 0.71981845], Predicted=[0.82440301 0.17559699] X=[-0.4204731 0.11667379 -0.6131152 0.12000007 -0.2642326 -1.01779928 -0.59680945 -0.12284367 -0.12098299 -0.96260494 -0.2553989 ], Predicted=[0.87229735 0.12770265] X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102 0.51112673 0.03857846 -0.87185685 -0.12098299 0.527131 0.15094166], Predicted=[0.67604069 0.32395931] X=[ 0.05358295 -0.37943543 0.13064066 -1.06307253 0.28507364 -0.01811689 0.17977578 -0.34353506 1.7335036 -0.43681578 -0.41793512], Predicted=[0.87418793 0.12581207] X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317] X=[-1.60561323e+00 6.12783009e-01 -6.13115201e-01 -8.26458013e-01 -1.13396748e+00 -2.53336273e-01 -4.55612139e-01 -1.61752622e+00 2.39582024e+00 1.34184656e-03 2.02010823e+00], Predicted=[0.24435542 0.75564458] X=[-0.77601514 0.8112267 -0.94367336 -0.22506277 -0.35578364 0.51112673 0.15624289 -0.73141688 0.21017533 -0.78734189 0.55728222], Predicted=[0.73987435 0.26012565] X=[ 0.76466702 -1.27243203 0.37855928 -0.90532952 0.37662468 -0.95899443 -0.87920408 0.19147436 0.34263866 -0.43681578 -0.41793512], Predicted=[0.93699908 0.06300092] X=[-1.01304317 -0.18099175 -1.27423152 0.12000007 0.4224002 0.86395581 1.30935429 0.62951332 0.14394366 -0.52444731 -1.23061624], Predicted=[0.96307321 0.03692679] X=[ 2.30534919 0.61278301 -0.03463842 0.65238274 -0.44733468 0.62873642 0.79163081 0.86023613 -0.71706797 -0.78734189 -0.2553989 ], Predicted=[0.87342523 0.12657477] X=[ 0.17209696 -0.67710097 0.29591974 0.15943582 -0.17268156 0.04068796 0.67396638 0.59273142 0.47510198 0.61476253 -0.58047134], Predicted=[0.87387496 0.12612504] X=[-0.4204731 -0.0817699 -1.19159198 0.04112856 -0.035355 3.68658844 0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512] X=[ 1.35723709 0.41433932 0.2132802 -0.35322897 -0.17268156 1.21678489 0.93282812 -0.41041123 0.67379698 -0.17392121 1.20742712], Predicted=[0.56494634 0.43505366] X=[-0.65750113 0.01745194 0.04800112 0.33689671 -0.35578364 0.51112673 -0.22028328 -0.51741311 0.47510198 -1.75128867 1.28869523], Predicted=[0.5667151 0.4332849] X=[-0.65750113 -0.47865728 -1.0263129 -0.25463959 -0.4931102 -0.37094597 0.08564423 0.05772201 1.13741862 -1.40076257 -0.33666701], Predicted=[0.87067787 0.12932213] X=[-0.53898711 0.91044854 -1.19159198 -0.57012562 1.01748196 -1.01779928 -0.87920408 -0.2097827 -1.04822629 -0.96260494 -1.23061624], Predicted=[0.98377625 0.01622375] X=[-1.01304317 0.01745194 1.53551285 -0.03774295 -0.81353884 0.09949281 -0.80860543 -0.80832448 0.60756531 0.1766049 1.04489089], Predicted=[0.50692143 0.49307857] X=[-1.96115527e+00 -3.79435433e-01 9.57036064e-01 -5.10971987e-01 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01 2.39582024e+00 1.34184656e-03 5.57282222e-01], Predicted=[0.64473564 0.35526436] X=[ 0.17209696 -0.57787912 -0.6131152 0.55379335 -0.85931436 0.09949281 -0.38501348 -0.58428929 -0.8495313 -1.31313104 1.61376767], Predicted=[0.38050716 0.61949284] X=[-0.06493106 1.60500145 0.29591974 -0.25463959 0.05619604 0.62873642 1.47408449 -0.07603035 -0.71706797 1.40344626 -0.01159456], Predicted=[0.92825062 0.07174938] X=[-0.77601514 0.8112267 0.95703606 0.79040787 0.6512778 -0.78257989 1.07402544 1.03077038 0.8062603 0.61476253 -0.58047134], Predicted=[0.96012747 0.03987253] X=[ 2.54237721 -0.0817699 0.13064066 -0.29407534 -0.81353884 -0.48855566 -1.0204014 -0.27665888 -0.98199462 -0.78734189 0.63855033], Predicted=[0.68044557 0.31955443] X=[-0.18344508 0.01745194 0.04800112 0.49463972 0.10197156 -0.19453143 -0.64387523 0.17475531 0.40887032 0.43949948 0.394746 ], Predicted=[0.73598112 0.26401888] X=[-0.4204731 -0.9747665 -0.03463842 0.31717883 0.23929812 -1.13540897 -0.17321751 0.82679804 0.60756531 -0.43681578 -1.47442057], Predicted=[0.95220199 0.04779801] X=[ 0.40912499 -0.37943543 -0.36519658 -0.82645801 -0.40155916 0.09949281 -0.8556712 -0.67791594 0.54133365 1.31581474 0.394746 ], Predicted=[0.59863252 0.40136748] X=[-0.06493106 -1.17321019 0.54383836 -0.80674014 -0.40155916 -1.01779928 -0.8556712 -0.57760167 1.99843026 -0.61207884 0.71981845], Predicted=[0.60768926 0.39231074] X=[-0.4204731 -0.77632281 -0.77839428 0.55379335 -0.08113052 -0.60616535 0.27390732 0.33191433 0.21017533 -0.43681578 -0.01159456], Predicted=[0.80318846 0.19681154] X=[ 0.40912499 -0.18099175 3.35358273 1.42137993 0.1935226 1.21678489 0.55630195 1.32836936 -1.04822629 -0.43681578 -1.39315246], Predicted=[0.95571223 0.04428777] X=[-0.77601514 0.8112267 -1.60478968 0.49463972 -0.44733468 0.15829765 0.39157175 0.73317139 0.54133365 0.08897337 -0.90554379], Predicted=[0.92675291 0.07324709] X=[-2.79075336 -0.87554465 -1.0263129 -1.07293147 -0.58466124 3.15734482 0.48570329 -0.23653317 1.0049553 -0.61207884 -2.04329735], Predicted=[0.94954771 0.05045229] X=[-0.53898711 0.31511748 -0.53047566 0.19887157 0.14774708 0.74634612 0.72103215 -0.26662745 0.54133365 -0.34918426 0.47601411], Predicted=[0.72105669 0.27894331] X=[-0.06493106 1.80344514 -0.6131152 -0.01802507 4.63374803 0.80515096 0.48570329 0.10453533 -0.31967798 -0.17392121 -0.41793512], Predicted=[0.98743647 0.01256353] X=[ 0.64615301 -0.28021359 -0.44783612 0.16929476 -0.81353884 -1.25301866 -1.42046046 -0.5508512 -1.64431127 -1.05023647 0.80108656], Predicted=[0.68041603 0.31958397] X=[-1.96115527 0.86083762 -2.10062693 1.40166205 -0.21845708 0.09949281 0.08564423 0.99398848 1.79973526 -0.87497341 -0.49920323], Predicted=[0.86366341 0.13633659] X=[-1.84264125 0.8112267 -0.53047566 -0.01802507 -0.81353884 0.27590734 -0.14968462 -0.72472926 1.20365029 -0.78734189 0.88235467], Predicted=[0.63886541 0.36113459] X=[-0.4204731 0.8112267 -0.44783612 -0.62927925 -0.40155916 -0.37094597 -0.45561214 -1.079173 0.40887032 1.40344626 1.53249956], Predicted=[0.5166642 0.4833358] X=[ 0.29061097 -0.67710097 -0.1999175 -0.51097199 -1.13396748 0.27590734 0.08564423 -0.62775881 -0.12098299 -0.87497341 0.23220977], Predicted=[0.66813669 0.33186331] X=[-1.01304317 -1.07398834 -0.03463842 -0.0771787 -0.44733468 -0.31214112 -0.64387523 -0.13621891 0.87249197 0.79002558 -0.30957764], Predicted=[0.71736299 0.28263701] X=[-2.19818329 1.75383422 -1.27423152 -0.88561164 -0.44733468 -0.13572658 -0.76153965 -2.19600515 0.14394366 2.98081373 2.83278935], Predicted=[0.23342603 0.76657397] X=[ 1.00169505 -0.37943543 -0.1999175 -1.0039189 0.05619604 -0.13572658 -0.76153965 -0.34353506 0.21017533 0.527131 0.23220977], Predicted=[0.82148421 0.17851579] X=[ 0.17209696 0.41433932 -0.1999175 0.00169281 -0.67621228 0.15829765 -0.54974368 -0.56088263 1.26988195 0.79002558 1.36996334], Predicted=[0.34498994 0.65501006] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[ 0.17209696 0.41433932 0.04800112 -1.0039189 -0.17268156 -0.90018958 -1.63225643 -0.94542065 0.8062603 1.40344626 1.20742712], Predicted=[0.60841215 0.39158785] X=[ 1.12020906 -1.47087572 -0.28255704 -0.90532952 -0.2642326 0.45232188 0.95636101 0.49241715 1.60104027 -0.69971036 -1.23061624], Predicted=[0.91117283 0.08882717] X=[-1.3685852 0.01745194 0.2132802 -0.90532952 -0.21845708 0.15829765 -1.13806583 -1.33999009 0.54133365 4.29528662 1.126159 ], Predicted=[0.36175367 0.63824633] X=[ 2.4238632 -0.67710097 0.29591974 -1.02363678 -0.81353884 -0.90018958 -1.06746717 -0.53078835 0.077712 -1.05023647 0.80108656], Predicted=[0.6719347 0.3280653] X=[ 0.76466702 0.51356116 0.46119882 1.18476541 0.8801554 -0.37094597 -0.45561214 1.12774083 -0.18721466 -0.87497341 -0.90554379], Predicted=[0.94662833 0.05337167] X=[ 0.40912499 -0.77632281 -0.28255704 -0.86589377 -0.31000812 0.45232188 1.16815698 -0.97885873 0.74002864 -0.69971036 1.20742712], Predicted=[0.51950898 0.48049102] X=[-1.25007119 -0.77632281 -0.28255704 -0.96448315 -0.67621228 -0.84138474 -1.91465106 -0.96213969 1.66727194 0.527131 0.394746 ], Predicted=[0.58165304 0.41834696] X=[ 3.25346129 0.11667379 1.0396756 -0.97434209 -0.31000812 2.48108908 1.99180798 0.12459818 -1.77677459 -0.26155273 -0.82427568], Predicted=[0.93726415 0.06273585] X=[-0.53898711 0.21589563 0.95703606 -0.57012562 6.92252402 2.39288182 0.97989389 0.05772201 -1.11445795 -0.87497341 -1.14934812], Predicted=[0.99760222 0.00239778] X=[ 1.59426511 -0.18099175 0.87439652 -1.0039189 0.01042052 -1.66465259 -1.63225643 0.12459818 -0.31967798 1.14055168 -0.2553989 ], Predicted=[0.93573253 0.06426747] X=[-7.76015140e-01 -6.77100966e-01 1.53551285e+00 2.14106833e-02 5.61960394e-02 -4.29750812e-01 -3.61480596e-01 5.10343874e-02 2.10175327e-01 1.34184656e-03 -4.99203231e-01], Predicted=[0.89200127 0.10799873] X=[-0.06493106 -0.67710097 -0.53047566 2.31854331 -0.17268156 0.33471219 0.17977578 2.03056922 0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623] X=[ 0.64615301 -1.17321019 -0.1999175 0.09042325 0.60550228 -0.25333627 -0.17321751 0.39210289 0.67379698 -1.31313104 -0.66173945], Predicted=[0.87614214 0.12385786] X=[-1.96115527 0.8112267 -2.59646417 -0.94476527 -0.67621228 -0.6649702 -0.80860543 -1.48043006 1.66727194 -1.22549952 1.36996334], Predicted=[0.56651042 0.43348958] X=[-2.19818329 -0.0817699 -0.11727796 -0.37294685 -0.63043676 1.33439458 0.93282812 -1.4938053 1.7335036 -1.57602562 1.69503579], Predicted=[0.32876113 0.67123887] X=[ 0.64615301 -1.17321019 -0.28255704 -0.98420103 0.83437988 -0.07692173 0.65043349 -0.8919197 -0.51837298 -0.61207884 0.74690781], Predicted=[0.77909119 0.22090881] X=[ 1.23872307 -0.9747665 1.28759423 -0.23492171 0.23929812 0.04068796 0.43863752 0.42554098 -0.05475133 -0.08628968 0.06967355], Predicted=[0.88589401 0.11410599] X=[ 0.17209696 0.41433932 -0.1999175 0.00169281 -0.67621228 0.15829765 -0.54974368 -0.56088263 1.26988195 0.79002558 1.36996334], Predicted=[0.34498994 0.65501006] X=[ 0.64615301 0.91044854 -0.6131152 0.63266486 0.1935226 -0.13572658 -0.10261885 0.68635807 -0.38590965 -0.26155273 -0.09286267], Predicted=[0.91247266 0.08752734] X=[-0.18344508 -0.0817699 -1.77006876 -1.0039189 -0.21845708 1.56961397 -0.00848731 -0.64447785 0.14394366 -0.61207884 -0.41793512], Predicted=[0.836724 0.163276] X=[ 0.527639 -1.07398834 -0.86103382 -0.01802507 0.23929812 -0.01811689 2.39186704 0.75992186 1.13741862 0.43949948 -0.41793512], Predicted=[0.87727305 0.12272695] X=[-0.4204731 -0.37943543 0.46119882 2.15094136 0.28507364 -0.78257989 -0.29088194 1.62262454 -0.51837298 -0.17392121 -1.06808001], Predicted=[0.92131094 0.07868906] X=[ 1.59426511 0.91044854 0.2132802 -1.06307253 -0.53888572 -1.07660412 -1.06746717 -1.14604918 -0.98199462 -1.48839409 0.96362278], Predicted=[0.80128458 0.19871542] X=[-0.06493106 -0.18099175 -0.77839428 0.27774308 0.28507364 1.09917519 1.78001201 0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=[0.9515018 0.0484982] X=[ 1.4757511 0.61278301 -0.44783612 0.21858945 -0.2642326 2.04005274 2.15653818 0.51916762 -0.31967798 0.527131 -0.58047134], Predicted=[0.8507063 0.1492937] X=[-1.3685852 0.8112267 0.04800112 -0.43210048 -0.90508988 -0.84138474 -1.44399334 -1.11261109 1.46857694 -0.34918426 1.126159 ], Predicted=[0.53602688 0.46397312] X=[-1.01304317 0.01745194 -0.53047566 -0.80674014 0.23929812 -0.72377504 0.20330866 -0.00915417 0.27640699 1.57870931 -0.17413078], Predicted=[0.94226677 0.05773323] X=[-0.53898711 0.61278301 -1.93534784 -1.04335466 0.10197156 -0.95899443 -1.27926314 -0.44384932 0.14394366 -0.96260494 -0.58047134], Predicted=[0.95318742 0.04681258] X=[ 2.06832116 -0.47865728 0.54383836 -0.43210048 -0.4931102 -1.07660412 -0.690941 0.22491245 -0.31967798 0.35186795 -0.66173945], Predicted=[0.87161854 0.12838146] X=[ 0.88318104 -1.17321019 0.87439652 -0.98420103 -0.12690604 -0.60616535 -0.690941 -0.27665888 -0.51837298 2.27976152 -0.17413078], Predicted=[0.82192511 0.17807489] X=[ 0.88318104 3.88710387 -1.60478968 -0.96448315 1.29213508 -0.60616535 0.69749926 -0.10946844 -0.91576296 0.1766049 -0.9868119 ], Predicted=[0.99351805 0.00648195] X=[ 1.12020906 0.01745194 -0.69575474 -0.58984349 -0.99664092 -0.48855566 -0.92626985 -1.48377387 -1.37938461 -1.05023647 2.02010823], Predicted=[0.36563604 0.63436396] X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274] X=[-0.18344508 0.41433932 -0.11727796 -0.9250474 -0.67621228 -0.25333627 -0.57327657 -1.52724338 -0.45214131 -1.22549952 1.61376767], Predicted=[0.59813277 0.40186723] X=[-0.77601514 0.31511748 -0.6131152 -0.31379322 -0.40155916 0.04068796 0.22684155 -0.41041123 0.14394366 -0.69971036 -0.09286267], Predicted=[0.85908663 0.14091337] X=[ 0.40912499 -0.47865728 -0.03463842 1.24391904 0.14774708 0.86395581 1.05049255 1.56243598 1.46857694 -0.78734189 -0.58047134], Predicted=[0.87272505 0.12727495] X=[-0.4204731 1.10889223 -0.86103382 -0.19548596 0.23929812 -0.60616535 0.25037443 -0.2097827 0.34263866 -1.22549952 -0.41793512], Predicted=[0.93219572 0.06780428] X=[ 0.17209696 0.8112267 -0.11727796 0.81012575 -0.035355 -0.01811689 -0.07908597 -0.17634461 -0.6508363 -1.40076257 0.88235467], Predicted=[0.72169138 0.27830862] X=[-0.06493106 -0.0817699 -0.94367336 2.24953075 -0.53888572 -1.13540897 -0.5262108 1.62931216 -0.78329963 0.35186795 -1.06808001], Predicted=[0.87139862 0.12860138] X=[-0.77601514 -0.57787912 1.28759423 -0.0771787 -0.76776332 -0.25333627 -0.24381617 -0.41041123 1.46857694 -1.13786799 0.63855033], Predicted=[0.63400193 0.36599807] X=[ 0.64615301 -0.47865728 0.79175698 -0.98420103 -0.08113052 -0.78257989 -0.59680945 -0.07603035 0.21017533 1.14055168 0.06967355], Predicted=[0.89273451 0.10726549] X=[ 1.00169505 1.10889223 -0.44783612 -0.29407534 -0.4931102 0.04068796 -0.690941 -0.74479212 0.01148034 0.79002558 1.36996334], Predicted=[0.49724577 0.50275423] X=[ 0.88318104 2.00188883 -0.44783612 0.79040787 0.14774708 1.27558973 1.56821604 1.1544913 0.34263866 -0.34918426 -0.9868119 ], Predicted=[0.95656367 0.04343633] X=[-0.18344508 0.51356116 1.28759423 -0.94476527 5.54925843 -0.90018958 -1.04393428 -0.87854447 -0.51837298 0.08897337 0.71981845], Predicted=[0.980252 0.019748] X=[-1.3685852 -0.77632281 -0.28255704 -0.76730438 0.01042052 0.15829765 -0.31441482 -0.42378647 1.0049553 0.08897337 -0.49920323], Predicted=[0.8633043 0.1366957] X=[-0.30195909 -0.47865728 -0.36519658 1.58898188 0.51395124 -0.37094597 0.13271 1.18124177 0.93872363 0.43949948 -0.2553989 ], Predicted=[0.77874231 0.22125769] X=[-1.84264125 0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535 -1.06746717 -2.20938039 0.8062603 -0.78734189 2.5077169 ], Predicted=[0.2767546 0.7232454] X=[-1.01304317 -0.77632281 -0.69575474 -0.86589377 -0.21845708 -0.31214112 -1.0204014 -1.08586062 0.54133365 0.61476253 0.47601411], Predicted=[0.61006429 0.38993571] X=[ 0.527639 -1.17321019 0.13064066 -0.96448315 -0.44733468 -0.37094597 -0.71447388 -0.20309508 0.54133365 0.1766049 -0.2553989 ], Predicted=[0.83069243 0.16930757] X=[ 1.94980715 -0.28021359 -0.1999175 -0.70815075 -0.63043676 -1.4294332 -1.82051951 -0.71469784 -0.8495313 -0.43681578 0.80108656], Predicted=[0.66520447 0.33479553] X=[ 0.88318104 -0.9747665 1.28759423 2.29882544 0.01042052 0.04068796 0.46217041 1.86337878 -0.8495313 -0.69971036 -1.06808001], Predicted=[0.8897395 0.1102605] X=[-0.30195909 0.01745194 0.04800112 -1.10250829 -0.40155916 0.39351704 -0.45561214 -1.74793477 -1.04822629 -1.05023647 1.61376767], Predicted=[0.59560329 0.40439671] X=[ 0.40912499 0.91044854 0.54383836 1.02702239 -0.63043676 -0.07692173 1.78001201 0.75992186 -0.58460464 0.1766049 -0.58047134], Predicted=[0.90006465 0.09993535] X=[-0.53898711 4.08554756 -2.01798739 0.23830733 -0.08113052 -0.07692173 0.13271 0.25835054 0.47510198 -0.96260494 -0.33666701], Predicted=[0.97083295 0.02916705] X=[-1.48709922e+00 2.15895632e-01 -1.93534784e+00 1.69280668e-03 -1.26906040e-01 -7.69217335e-02 8.56442334e-02 -6.93427307e-02 -3.19677985e-01 -8.62896794e-02 -5.80471343e-01], Predicted=[0.91319342 0.08680658] X=[-0.30195909 2.99410727 -0.28255704 -0.25463959 0.51395124 -0.31214112 -0.3614806 0.29178862 0.34263866 -0.96260494 -1.23061624], Predicted=[0.98833729 0.01166271] X=[-1.01304317 1.30733592 -0.86103382 -1.04335466 0.92593092 -0.78257989 0.22684155 -0.45722456 0.74002864 -0.17392121 -0.7159182 ], Predicted=[0.97181168 0.02818832] X=[-0.53898711 0.11667379 -0.11727796 -0.78702226 -1.45439612 -0.07692173 -1.16159871 -1.31992724 0.34263866 1.49107779 1.61376767], Predicted=[0.31124731 0.68875269] X=[-0.65750113 0.01745194 -0.94367336 1.00730452 -0.44733468 -0.48855566 0.27390732 0.14131723 -1.24692128 -1.40076257 0.06967355], Predicted=[0.83593616 0.16406384] X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081 -1.09100005 -0.59432072 1.33611362 1.75397237 0.31347789], Predicted=[0.68364766 0.31635234] X=[ 0.29061097 1.50577961 2.27926871 1.06645815 -0.035355 1.09917519 0.39157175 1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=[0.97040375 0.02959625] X=[-0.30195909 -0.28021359 0.13064066 -0.68843288 -0.53888572 0.15829765 -0.40854637 -1.31992724 0.01148034 -0.78734189 1.85757201], Predicted=[0.45323781 0.54676219] X=[ 0.29061097 0.21589563 0.2132802 0.08056431 0.4224002 0.54052915 2.25066972 1.06086466 1.99843026 1.31581474 -0.2553989 ], Predicted=[0.9110967 0.0889033] X=[-0.18344508 -1.17321019 0.29591974 -1.0039189 -0.44733468 0.56993158 -0.31441482 -1.46705482 0.01148034 0.1766049 1.53249956], Predicted=[0.36432888 0.63567112] X=[-1.13155718 1.55539053 -1.4395106 0.00169281 -0.67621228 -0.84138474 -0.10261885 -0.84176257 0.34263866 -0.26155273 1.36996334], Predicted=[0.64890244 0.35109756] X=[-0.4204731 -0.67710097 0.13064066 -0.13633233 -0.12690604 0.68754127 1.37995295 -0.03590464 0.34263866 0.08897337 -0.33666701], Predicted=[0.8312276 0.1687724] X=[-0.06493106 -0.67710097 0.70911744 -1.02363678 -0.035355 -0.6649702 -0.29088194 -0.56422644 -0.6508363 3.33133983 0.31347789], Predicted=[0.79852746 0.20147254] X=[ 0.05358295 0.61278301 3.35358273 0.94815089 1.06325748 0.51112673 0.27390732 0.9271123 -1.24692128 2.80555068 -1.06808001], Predicted=[0.95618993 0.04381007] X=[-0.53898711 -1.07398834 -0.53047566 0.06084644 -0.44733468 3.09853997 1.99180798 0.25835054 0.60756531 -1.22549952 -0.2553989 ], Predicted=[0.78051517 0.21948483] X=[-0.65750113 -0.28021359 1.61815239 -0.90532952 -1.13396748 0.33471219 -0.87920408 -1.57572861 0.01148034 -1.57602562 2.02010823], Predicted=[0.4637731 0.5362269] X=[-0.06493106 -0.18099175 -0.77839428 -0.88561164 -0.12690604 2.04005274 0.36803886 -0.43381789 -0.05475133 0.26423642 -0.01159456], Predicted=[0.82343134 0.17656866] X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841] X=[-0.30195909 0.8112267 1.53551285 0.96786876 0.01042052 -1.60584774 -0.66740811 0.86023613 -0.78329963 -0.26155273 -0.90554379], Predicted=[0.96792582 0.03207418] X=[ 0.40912499 0.61278301 -0.86103382 0.49463972 2.71117619 -0.78257989 0.39157175 0.96723801 -1.18068962 0.79002558 -0.82427568], Predicted=[0.98633461 0.01366539] X=[ 1.71277913 -0.37943543 -0.53047566 -0.84617589 -0.7219878 -0.78257989 0.55630195 -0.87854447 -1.31315295 1.66634084 1.126159 ], Predicted=[0.55482957 0.44517043] X=[ 1.35723709 -0.77632281 -0.28255704 0.33689671 -0.40155916 0.39351704 -0.1967504 -0.07937416 -0.58460464 1.57870931 1.04489089], Predicted=[0.39163792 0.60836208] X=[-0.30195909 0.41433932 1.12231514 1.81573746 0.78860436 -0.48855566 0.81516369 1.5691236 -0.05475133 0.61476253 -1.23061624], Predicted=[0.9527454 0.0472546] X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613] X=[-0.89452915 0.8112267 0.6264779 2.55515783 1.109033 1.8636382 1.61528181 2.39170057 1.33611362 0.35186795 -1.14934812], Predicted=[0.94443704 0.05556296] X=[ 2.06832116 -0.9747665 0.2132802 -0.90532952 -0.2642326 -0.6649702 1.14462409 0.52585524 0.40887032 0.527131 -0.82427568], Predicted=[0.92866649 0.07133351] X=[ 2.77940524 0.01745194 1.0396756 -0.62927925 0.55972676 0.2171025 -0.12615174 0.6596076 -0.31967798 0.79002558 -0.82427568], Predicted=[0.94875749 0.05124251] X=[ 0.05358295 0.01745194 0.29591974 0.53407548 -0.40155916 -1.13540897 -1.46752623 0.25835054 -0.91576296 0.43949948 0.47601411], Predicted=[0.8215141 0.1784859] X=[-0.30195909 0.41433932 -0.6131152 -0.35322897 -0.67621228 -0.5473605 -0.43207925 -0.68460356 1.40234528 2.10449847 1.61376767], Predicted=[0.35821545 0.64178455] X=[ 0.88318104 -0.37943543 0.87439652 -0.51097199 -0.40155916 0.80515096 0.17977578 -0.97885873 -0.8495313 -1.05023647 0.88235467], Predicted=[0.61483382 0.38516618] X=[ 1.71277913 -1.37165388 0.2132802 0.47492185 -0.90508988 -1.31182351 -1.8440524 0.52585524 -0.38590965 -1.22549952 0.43538005], Predicted=[0.69799702 0.30200298] X=[ 0.29061097 1.70422329 -0.77839428 -0.72786863 -0.2642326 -0.6649702 -1.20866448 -1.80812333 -1.64431127 -0.96260494 2.34518068], Predicted=[0.5833877 0.4166123] X=[ 1.59426511 3.2917728 0.95703606 -0.19548596 -0.7219878 -1.19421382 -0.47914502 0.45897907 -0.31967798 -1.31313104 -0.74300757], Predicted=[0.98338671 0.01661329] X=[ 1.94980715 -1.17321019 0.13064066 -0.94476527 -0.31000812 -0.6649702 0.20330866 -0.17634461 -1.51184794 -1.13786799 -0.41793512], Predicted=[0.9246376 0.0753624] X=[ 1.59426511 1.20811407 1.20495468 1.4410978 -0.17268156 1.39319943 0.72103215 1.52899789 -0.58460464 0.26423642 -0.90554379], Predicted=[0.92393182 0.07606818] X=[-0.53898711 -1.27243203 0.54383836 -0.96448315 -0.17268156 -0.72377504 -1.20866448 -1.44030435 -0.51837298 -0.26155273 1.36996334], Predicted=[0.55698254 0.44301746] X=[ 0.05358295 1.60500145 0.70911744 0.41576822 0.10197156 -1.48823805 0.20330866 1.12774083 0.87249197 -0.26155273 -0.82427568], Predicted=[0.980182 0.019818] X=[-1.25007119 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 -1.04393428 -1.01229682 1.53480861 -0.61207884 1.04489089], Predicted=[0.54659454 0.45340546] X=[ 0.64615301 -0.77632281 0.29591974 -1.02363678 -0.81353884 -0.42975081 -1.16159871 -0.90529494 -0.31967798 1.05292016 1.04489089], Predicted=[0.56543085 0.43456915] X=[ 0.17209696 0.31511748 0.46119882 0.21858945 0.4224002 0.39351704 1.87414355 0.83348566 1.20365029 0.43949948 -0.17413078], Predicted=[0.92070648 0.07929352] X=[-0.4204731 -0.18099175 0.79175698 0.49463972 1.70411476 0.86395581 0.76809792 0.82679804 -2.24039624 0.08897337 -1.23061624], Predicted=[0.98795322 0.01204678] X=[ 1.00169505 -0.28021359 0.79175698 -0.37294685 0.74282884 -0.90018958 -0.54974368 0.86023613 1.26988195 0.08897337 -0.49920323], Predicted=[0.95484553 0.04515447] X=[-0.30195909 -0.87554465 5.41957124 -1.02363678 3.48936003 0.56993158 -0.22028328 -0.14290653 -0.6508363 -1.57602562 -1.47442057], Predicted=[0.99561113 0.00438887] X=[-0.53898711 -0.0817699 -0.36519658 -0.49125411 -0.53888572 1.56961397 0.03857846 -0.55419501 -0.58460464 0.87765711 0.47601411], Predicted=[0.72406048 0.27593952] X=[ 1.83129314 -0.47865728 -0.11727796 -1.0039189 0.10197156 1.39319943 -0.59680945 -0.75147973 -0.58460464 0.527131 0.394746 ], Predicted=[0.6418594 0.3581406] X=[-0.30195909 -0.57787912 0.29591974 -0.94476527 -0.2642326 -0.25333627 -0.87920408 -1.31658343 -0.25344632 1.49107779 1.20742712], Predicted=[0.49151618 0.50848382] X=[-1.01304317 0.01745194 1.53551285 -0.27435747 1.47523716 -0.31214112 0.01504558 0.30516386 -0.58460464 -1.13786799 -1.23061624], Predicted=[0.99017796 0.00982204] X=[ 0.88318104 -0.77632281 -0.1999175 -0.98420103 0.05619604 0.33471219 0.08564423 -0.2097827 1.60104027 0.35186795 -0.33666701], Predicted=[0.77135539 0.22864461] X=[ 0.64615301 -0.87554465 1.28759423 0.57351123 -0.7219878 -0.5473605 -0.14968462 -0.00915417 -1.31315295 -1.48839409 0.394746 ], Predicted=[0.7612581 0.2387419] X=[-0.4204731 1.80344514 0.6264779 2.05235198 1.74989028 1.39319943 1.96827509 1.76306451 -0.05475133 0.79002558 -1.23061624], Predicted=[0.97250432 0.02749568] X=[-0.53898711 -1.27243203 0.87439652 -1.02363678 -0.12690604 1.8636382 0.27390732 -1.11261109 -0.31967798 2.10449847 0.55728222], Predicted=[0.52730612 0.47269388] X=[ 0.527639 0.51356116 -0.94367336 -0.98420103 -0.21845708 0.27590734 0.90929523 -0.38700457 -0.31967798 -0.08628968 -0.49920323], Predicted=[0.92255108 0.07744892] X=[-0.18344508 1.60500145 -0.94367336 -0.4123826 -0.63043676 -0.95899443 -0.92626985 -1.29652057 0.47510198 0.35186795 1.85757201], Predicted=[0.43454761 0.56545239] X=[-2.19818329 0.71200485 -0.69575474 0.27774308 -0.67621228 -0.6649702 -0.5262108 -0.54081978 1.33611362 -0.78734189 0.63855033], Predicted=[0.68834455 0.31165545] X=[ 0.17209696 0.8112267 -0.11727796 0.7213953 -0.035355 0.09949281 -0.17321751 -0.169657 -0.6508363 -1.40076257 0.96362278], Predicted=[0.73369019 0.26630981] X=[ 1.12020906 -0.28021359 0.6264779 -0.53068986 -0.17268156 0.09949281 0.25037443 0.45897907 1.13741862 -0.34918426 -0.41793512], Predicted=[0.90521813 0.09478187] X=[-0.4204731 0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173 -1.13806583 -0.72807307 1.20365029 1.66634084 0.394746 ], Predicted=[0.66862461 0.33137539] X=[-0.4204731 -1.47087572 -0.53047566 -0.74758651 -0.4931102 -0.19453143 -1.46752623 -0.87854447 0.14394366 2.36739305 0.6656397 ], Predicted=[0.41655537 0.58344463] X=[-1.25007119 0.51356116 -0.86103382 -0.27435747 0.33084916 -0.37094597 -0.76153965 0.18478674 -0.38590965 0.26423642 -1.23061624], Predicted=[0.97230526 0.02769474] X=[ 1.83129314 -1.07398834 -0.1999175 -0.19548596 0.28507364 0.68754127 0.27390732 0.42554098 0.34263866 -0.96260494 -0.58047134], Predicted=[0.84781369 0.15218631] X=[-1.72412724 0.51356116 -0.1999175 -0.47153623 -0.7219878 -0.48855566 -0.71447388 -1.24301963 0.74002864 -0.52444731 1.36996334], Predicted=[0.5767356 0.4232644] X=[ 4.09124986e-01 -4.78657278e-01 1.03967560e+00 1.69280668e-03 -4.47334679e-01 -1.07660412e+00 -1.25573025e+00 -4.13755041e-01 -5.84604641e-01 2.54265610e+00 9.63622781e-01], Predicted=[0.51755102 0.48244898] X=[-0.06493106 -0.47865728 -0.1999175 -0.70815075 0.05619604 0.27590734 -0.38501348 -0.92535779 -0.8495313 1.31581474 0.31347789], Predicted=[0.697319 0.302681] X=[-0.53898711 -1.27243203 0.87439652 -1.02363678 -0.12690604 1.8636382 0.27390732 -1.11261109 -0.31967798 2.10449847 0.55728222], Predicted=[0.52730612 0.47269388] X=[-1.96115527 0.01745194 -0.36519658 -1.04335466 -0.81353884 -1.01779928 -1.63225643 -0.78491782 0.34263866 0.43949948 -0.41793512], Predicted=[0.89710829 0.10289171] X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352] X=[-0.77601514 -0.0817699 -0.11727796 0.47492185 0.05619604 1.7460285 2.01534087 0.69304568 -0.12098299 -0.17392121 -1.31188435], Predicted=[0.94390452 0.05609548] X=[ 0.64615301 0.21589563 -0.28255704 -0.23492171 0.33084916 0.56993158 0.57983483 0.02428392 -0.45214131 -0.34918426 -0.17413078], Predicted=[0.9015282 0.0984718] X=[-0.18344508 0.61278301 1.70079193 1.9537626 0.05619604 0.51112673 1.00342678 1.56243598 -0.98199462 0.61476253 -1.39315246], Predicted=[0.95044563 0.04955437] X=[ 1.4757511 -0.18099175 -0.28255704 0.27774308 0.14774708 0.2171025 0.32097309 0.45897907 -1.31315295 0.79002558 -0.41793512], Predicted=[0.87438424 0.12561576] X=[ 0.29061097 -0.67710097 -0.28255704 -0.98420103 -0.40155916 0.56993158 0.10917712 -0.27665888 -0.38590965 -1.40076257 -0.49920323], Predicted=[0.9252142 0.0747858] X=[-0.53898711 -0.18099175 0.54383836 -0.9250474 6.09856467 -1.78226228 -1.8440524 -0.5107255 -0.6508363 0.43949948 -0.33666701], Predicted=[0.99236779 0.00763221] X=[-0.06493106 0.21589563 -0.03463842 1.26363691 -0.21845708 1.45200427 0.69749926 0.85689232 -0.58460464 0.61476253 -0.58047134], Predicted=[0.82652932 0.17347068] X=[-0.77601514 -0.28021359 0.87439652 1.85517321 0.51395124 0.2171025 0.67396638 1.3417446 -0.31967798 0.1766049 -1.06808001], Predicted=[0.91775348 0.08224652] X=[-1.3685852 -0.28021359 -0.11727796 1.14532965 -0.21845708 0.45232188 -0.26734905 0.40547812 0.27640699 0.35186795 -0.09286267], Predicted=[0.71981475 0.28018525] X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=[0.67497546 0.32502454] X=[-1.25007119 0.51356116 -0.86103382 -0.27435747 0.33084916 -0.37094597 -0.76153965 0.18478674 -0.38590965 0.26423642 -1.23061624], Predicted=[0.97230526 0.02769474] X=[ 0.05358295 -0.87554465 0.13064066 0.10028219 -0.035355 0.92276066 -0.31441482 -0.24322079 -0.58460464 -0.43681578 0.15094166], Predicted=[0.71917443 0.28082557] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 1.73294624e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.92389832 0.07610168] X=[ 1.23872307 -0.77632281 1.28759423 -0.94476527 0.33084916 -1.19421382 0.13271 -0.34353506 -0.18721466 -0.17392121 -0.01159456], Predicted=[0.89820022 0.10179978] X=[-1.13155718 0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=[0.93507196 0.06492804] X=[-0.30195909 -0.18099175 -1.0263129 -0.68843288 -0.90508988 0.74634612 -0.29088194 -1.04907872 0.21017533 -0.96260494 0.63855033], Predicted=[0.57289958 0.42710042] X=[-0.4204731 -0.9747665 -0.6131152 -0.98420103 -0.21845708 0.27590734 0.06211135 0.02428392 1.0049553 2.01686694 -0.82427568], Predicted=[0.86844725 0.13155275] X=[-0.65750113 -0.47865728 -0.28255704 -0.90532952 -0.58466124 -1.13540897 -1.11453294 -1.14604918 0.60756531 -0.78734189 1.04489089], Predicted=[0.63696681 0.36303319] X=[ 0.64615301 -0.28021359 -0.44783612 0.16929476 -0.81353884 -1.25301866 -1.42046046 -0.5508512 -1.64431127 -1.05023647 0.80108656], Predicted=[0.68041603 0.31958397] X=[ 1.35723709 1.70422329 -0.44783612 0.86927938 0.23929812 -0.60616535 0.43863752 0.55929333 -0.8495313 -0.17392121 0.71981845], Predicted=[0.8756605 0.1243395] X=[ 1.35723709 3.78788202 3.18830365 2.20023605 -0.17268156 1.56961397 2.22713684 1.96369304 -1.77677459 1.66634084 -0.90554379], Predicted=[0.97847334 0.02152666] X=[-0.30195909 -0.57787912 0.29591974 1.77630171 -0.4931102 1.56961397 0.34450598 1.47884076 -1.11445795 -0.78734189 -0.9868119 ], Predicted=[0.90637887 0.09362113] X=[-0.77601514 0.51356116 -0.36519658 -1.0039189 -0.17268156 -0.5473605 -0.00848731 0.52585524 3.85291685 1.31581474 -0.82427568], Predicted=[0.92590048 0.07409952] X=[ 0.40912499 -1.17321019 1.28759423 -1.0039189 -0.40155916 -0.48855566 -0.80860543 -0.54416359 0.27640699 0.70239405 0.06967355], Predicted=[0.76855989 0.23144011] X=[ 1.83129314 -0.57787912 -0.28255704 0.49463972 -0.99664092 -1.07660412 -0.47914502 0.17809912 -1.31315295 -1.31313104 -0.01159456], Predicted=[0.75100233 0.24899767] X=[-1.3685852 -0.13138082 -0.44783612 0.10028219 -0.44733468 0.62873642 0.27390732 -0.34687886 1.13741862 -0.43681578 0.23220977], Predicted=[0.67504115 0.32495885] X=[ 1.35723709 -0.28021359 0.13064066 -1.04335466 0.37662468 -1.31182351 -0.05555308 -0.12284367 -0.71706797 0.527131 -0.82427568], Predicted=[0.95363923 0.04636077] X=[-1.13155718 0.21589563 1.12231514 0.28760202 -0.7219878 -0.95899443 -0.12615174 -0.24322079 2.19712525 -0.52444731 0.80108656], Predicted=[0.60298837 0.39701163] X=[-0.65750113 -0.18099175 -1.0263129 -0.47153623 -0.7219878 -0.6649702 -0.31441482 -0.84510638 -0.8495313 -1.31313104 0.15094166], Predicted=[0.82113219 0.17886781] X=[-0.18344508 2.00188883 1.28759423 -0.68843288 -0.7219878 -0.42975081 -0.38501348 -1.59411956 -0.38590965 -0.78734189 2.02010823], Predicted=[0.6319158 0.3680842] X=[-0.4204731 -0.37943543 -0.77839428 -0.94476527 0.01042052 -1.19421382 -1.8440524 -0.41041123 0.01148034 -0.87497341 -0.58047134], Predicted=[0.93399045 0.06600955] X=[ 0.40912499 -0.37943543 -0.53047566 -0.98420103 -0.35578364 -0.25333627 -0.38501348 -0.44384932 -0.25344632 -0.26155273 -0.17413078], Predicted=[0.8791459 0.1208541] X=[ 1.4757511 0.61278301 -0.44783612 0.21858945 -0.2642326 2.04005274 2.15653818 0.51916762 -0.31967798 0.527131 -0.58047134], Predicted=[0.8507063 0.1492937] X=[ 1.23872307 0.51356116 -0.44783612 4.97059773 0.33084916 -0.01811689 0.88576235 5.44125423 -0.25344632 -0.96260494 -1.39315246], Predicted=[0.98985959 0.01014041] X=[-1.13155718 -0.9747665 -0.44783612 -1.06307253 -0.40155916 -0.6649702 -1.1851316 -1.03235968 0.67379698 0.527131 0.11030761], Predicted=[0.70131649 0.29868351] X=[-0.4204731 1.30733592 2.52718733 1.06645815 0.8801554 1.7460285 2.03887375 1.26149319 -0.45214131 0.1766049 -1.31188435], Predicted=[0.98247695 0.01752305] X=[ 0.05358295 1.10889223 -0.94367336 -0.4123826 -0.7219878 -1.48823805 -0.8556712 -0.34353506 -1.24692128 3.33133983 0.88235467], Predicted=[0.79409598 0.20590402] X=[-0.06493106 0.21589563 -0.94367336 -0.03774295 0.6512778 0.33471219 1.21522275 1.52231028 -0.05475133 0.1766049 -1.06808001], Predicted=[0.99078137 0.00921863] X=[ 0.05358295 0.01745194 0.29591974 0.53407548 -0.40155916 -1.13540897 -1.46752623 0.25835054 -0.91576296 0.43949948 0.47601411], Predicted=[0.8215141 0.1784859] X=[ 0.05358295 -1.57009756 0.2132802 -0.82645801 -0.40155916 -1.01779928 -0.64387523 -0.71135403 1.46857694 2.8931822 1.126159 ], Predicted=[0.32392386 0.67607614] X=[-0.06493106 -0.57787912 0.29591974 1.73686595 0.23929812 1.92244304 0.93282812 1.77978356 1.40234528 3.15607678 -0.9868119 ], Predicted=[0.70424785 0.29575215] X=[-0.06493106 -0.28021359 -0.36519658 -0.86589377 -0.17268156 -0.95899443 1.19168986 0.39210289 1.79973526 0.43949948 -0.2553989 ], Predicted=[0.93336309 0.06663691] X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=[0.87304667 0.12695333] X=[-0.89452915 -0.77632281 0.54383836 -0.88561164 -0.81353884 -0.19453143 -0.00848731 -0.87854447 0.47510198 2.01686694 0.96362278], Predicted=[0.56134295 0.43865705] X=[ 0.88318104 2.79566358 -1.77006876 0.79040787 2.29919651 -0.78257989 0.90929523 1.42868363 0.87249197 -0.34918426 -1.14934812], Predicted=[0.98990647 0.01009353] X=[-0.18344508 0.01745194 0.04800112 0.49463972 0.10197156 -0.19453143 -0.64387523 0.17475531 0.40887032 0.43949948 0.394746 ], Predicted=[0.73598112 0.26401888] X=[ 0.527639 -0.87554465 1.28759423 1.80587852 0.55972676 0.86395581 -0.10261885 1.93025495 1.53480861 -1.13786799 -1.14934812], Predicted=[0.88744275 0.11255725] X=[-0.4204731 0.11667379 -0.28255704 0.54393441 0.23929812 -0.60616535 0.65043349 -0.21312651 0.34263866 0.61476253 0.67918439], Predicted=[0.63960837 0.36039163] X=[-1.25007119 0.8112267 -0.6131152 -0.60956137 -0.35578364 0.27590734 0.34450598 -0.97885873 1.0049553 0.527131 0.63855033], Predicted=[0.67374111 0.32625889] X=[ 1.35723709 -0.0817699 1.94871055 0.79040787 0.33084916 -1.01779928 -0.10261885 1.10099036 -0.45214131 1.66634084 -1.23061624], Predicted=[0.93106391 0.06893609] X=[ 1.23872307 -0.0817699 -0.53047566 -0.9250474 -0.53888572 -0.60616535 -0.38501348 -1.05242253 -1.44561627 0.1766049 1.126159 ], Predicted=[0.67452865 0.32547135] X=[ 0.76466702 0.01745194 0.6264779 -1.0039189 -0.08113052 -1.4294332 -0.29088194 -0.36694172 0.60756531 -0.34918426 -0.17413078], Predicted=[0.90496449 0.09503551] X=[-1.25007119 -1.37165388 -1.52215014 -0.05746082 -0.17268156 -0.48855566 -0.3614806 -0.13621891 -0.8495313 0.96528863 -0.49920323], Predicted=[0.83641272 0.16358728] X=[-1.83445077e-01 -1.37165388e+00 1.03967560e+00 -9.44765273e-01 -4.47334679e-01 -1.19421382e+00 -1.09100005e+00 -4.63912174e-01 1.20365029e+00 1.34184656e-03 3.13477887e-01], Predicted=[0.75892228 0.24107772] X=[ 0.64615301 -0.57787912 -0.6131152 -1.02363678 -0.4931102 -1.01779928 -0.97333563 -0.52744454 -0.45214131 -0.69971036 -0.66173945], Predicted=[0.89538606 0.10461394] X=[-1.13155718 -0.77632281 -0.44783612 1.26363691 -0.35578364 -0.37094597 -0.14968462 0.07778486 0.8062603 0.70239405 1.04489089], Predicted=[0.3469627 0.6530373] X=[ 0.17209696 -0.37943543 -0.77839428 0.5143576 -0.7219878 0.39351704 1.89767644 0.77998471 1.86596693 -0.26155273 -0.2553989 ], Predicted=[0.75118879 0.24881121] X=[-0.65750113 -0.0817699 0.29591974 0.29746096 0.05619604 1.33439458 1.80354489 0.46566668 0.01148034 -0.08628968 -0.82427568], Predicted=[0.92447523 0.07552477] X=[-0.53898711 -1.37165388 -0.1999175 -1.02363678 -0.53888572 1.04037035 -0.00848731 -1.06579776 1.26988195 -1.22549952 0.80108656], Predicted=[0.51029488 0.48970512] X=[ 0.05358295 -0.77632281 1.37023377 0.71153637 -0.44733468 2.51049151 0.67396638 0.79335995 -0.25344632 0.527131 -0.2553989 ], Predicted=[0.79443153 0.20556847] X=[-0.30195909 -0.0817699 1.28759423 0.27774308 0.14774708 1.56961397 1.85061067 0.62616951 -0.12098299 -0.34918426 -0.90554379], Predicted=[0.94760796 0.05239204] X=[ 3.01643326 1.40655776 -0.11727796 0.02141068 -0.85931436 -0.90018958 0.67396638 0.25500673 -0.71706797 -0.52444731 0.06967355], Predicted=[0.85431584 0.14568416] X=[-1.13155718 -0.67710097 -0.86103382 0.29746096 -0.58466124 -0.78257989 -0.1967504 0.12459818 1.26988195 0.87765711 0.31347789], Predicted=[0.65264735 0.34735265] X=[ 1.94980715 -0.87554465 1.28759423 -0.57012562 -0.08113052 -0.37094597 -0.50267791 -0.07603035 -0.31967798 0.1766049 -0.33666701], Predicted=[0.82544793 0.17455207] X=[-1.13155718 0.61278301 -0.94367336 -0.78702226 -0.7219878 -0.95899443 -0.07908597 -1.54730624 1.46857694 2.5426561 2.75152124], Predicted=[0.18787608 0.81212392] X=[-1.13155718 -1.37165388 -0.69575474 -0.37294685 -0.85931436 -0.07692173 0.03857846 -0.2097827 1.99843026 0.1766049 0.23220977], Predicted=[0.59025011 0.40974989] X=[-1.01304317 0.41433932 -0.11727796 -0.31379322 -0.21845708 0.27590734 1.12109121 -0.56088263 0.21017533 0.43949948 0.394746 ], Predicted=[0.79776027 0.20223973] X=[-0.06493106 0.21589563 -0.77839428 0.04112856 3.53513555 -0.01811689 -0.5262108 0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=[0.9850691 0.0149309] X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866 -1.32632891 -0.90529494 -0.58460464 0.79002558 0.55728222], Predicted=[0.62936382 0.37063618] X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495] X=[-0.4204731 -0.28021359 0.13064066 1.1058939 0.4224002 0.68754127 0.95636101 1.32836936 2.59451523 -0.17392121 -0.41793512], Predicted=[0.82892952 0.17107048] X=[-0.30195909 3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443 -1.42046046 -1.22630059 -0.51837298 1.14055168 1.93884012], Predicted=[0.70496935 0.29503065] X=[ 1.35723709 3.09332911 3.10566411 2.1608003 -0.35578364 1.51080912 2.10947241 1.99713113 -1.5780796 2.27976152 -0.9868119 ], Predicted=[0.96662878 0.03337122] X=[-0.89452915 -0.28021359 -0.44783612 0.71153637 0.4224002 1.21678489 -0.17321751 -0.00915417 0.21017533 -1.22549952 0.31347789], Predicted=[0.7267985 0.2732015] X=[ 1.83129314 -0.47865728 1.28759423 0.27774308 -0.4931102 -0.78257989 -1.0204014 -0.17634461 -0.98199462 -1.31313104 1.20742712], Predicted=[0.63387668 0.36612332] X=[-3.01959090e-01 -1.80991745e-01 1.86607101e+00 1.77630171e+00 3.30849159e-01 -1.94531426e-01 6.21113476e-02 1.36180745e+00 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=[0.92951838 0.07048162] X=[ 0.76466702 -1.07398834 -0.11727796 -0.9250474 -0.2642326 0.92276066 0.22684155 -0.81166829 0.14394366 -0.43681578 0.80108656], Predicted=[0.59081982 0.40918018] X=[ 0.17209696 0.41433932 -0.36519658 0.23830733 -0.9508654 -0.01811689 -0.33794771 -0.80498067 -0.25344632 1.40344626 1.85757201], Predicted=[0.26241202 0.73758798] X=[-1.01304317 0.8112267 -2.26590601 -0.98420103 0.92593092 -0.48855566 -0.24381617 -0.2097827 0.47510198 0.527131 -0.9868119 ], Predicted=[0.96881748 0.03118252] X=[ 0.527639 -1.47087572 -0.11727796 1.57912294 0.23929812 -0.07692173 -0.690941 1.12774083 0.077712 -1.22549952 -1.06808001], Predicted=[0.79711633 0.20288367] X=[ 0.05358295 -0.77632281 -0.44783612 -1.02363678 0.10197156 0.04068796 0.48570329 -0.14290653 0.01148034 -0.52444731 -1.14934812], Predicted=[0.95041055 0.04958945] X=[ 1.23872307 2.29955436 0.04800112 -0.74758651 0.14774708 -1.31182351 -0.07908597 -0.22650175 -0.6508363 0.1766049 -0.41793512], Predicted=[0.96696796 0.03303204] X=[-1.01304317e+00 4.14339320e-01 -2.82557040e-01 1.79153697e-01 5.86968707e+00 6.28736423e-01 4.85703291e-01 3.88759080e-01 -5.47513286e-02 1.34184656e-03 -9.05543789e-01], Predicted=[0.99257706 0.00742294] X=[ 0.40912499 -1.37165388 0.13064066 -1.02363678 -0.44733468 -1.19421382 -1.53812488 -0.07603035 1.79973526 -0.87497341 -0.49920323], Predicted=[0.8474729 0.1525271] X=[-0.65750113 1.30733592 -1.4395106 -1.08279041 -0.63043676 -0.60616535 -0.94980274 -0.43047409 -0.18721466 -0.61207884 -0.82427568], Predicted=[0.96464013 0.03535987] X=[-0.18344508 -1.07398834 0.70911744 0.79040787 -0.35578364 2.92212543 1.02695966 0.75323424 -0.98199462 -0.43681578 -1.31188435], Predicted=[0.88110745 0.11889255] X=[ 0.64615301 1.30733592 2.69246641 0.86927938 0.23929812 2.45168666 1.30935429 1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=[0.97658507 0.02341493] X=[-0.30195909 -0.57787912 0.29591974 -1.02363678 0.60550228 0.56993158 1.42701872 -0.34353506 1.20365029 0.527131 -0.17413078], Predicted=[0.87780781 0.12219219] X=[-0.30195909 -0.18099175 -0.53047566 -0.96448315 -0.2642326 -0.95899443 -0.57327657 -0.3602541 1.13741862 1.14055168 -0.01159456], Predicted=[0.82985828 0.17014172] X=[ 0.17209696 -0.57787912 -0.44783612 0.82984363 -0.31000812 -0.19453143 -0.50267791 -0.15962557 -0.91576296 0.527131 0.80108656], Predicted=[0.48766135 0.51233865] X=[-1.48709922 -0.28021359 -1.19159198 -0.78702226 0.14774708 0.39351704 0.65043349 -0.67791594 0.40887032 -0.52444731 -0.09286267], Predicted=[0.87581883 0.12418117] X=[-0.18344508 -0.77632281 0.70911744 1.50025143 -0.35578364 2.80451574 0.50923618 1.56243598 -0.18721466 0.08897337 -0.90554379], Predicted=[0.86340357 0.13659643] X=[-1.60561323 -1.17321019 -0.1999175 -1.02363678 -0.90508988 -0.25333627 -1.65578931 -1.41355388 0.93872363 -0.43681578 0.90944404], Predicted=[0.47483185 0.52516815] X=[ 4.09124986e-01 1.74519434e-02 1.70079193e+00 2.03263410e+00 -3.53550004e-02 1.09917519e+00 1.45055161e+00 1.66275025e+00 -7.17067969e-01 1.34184656e-03 -8.24275678e-01], Predicted=[0.90647388 0.09352612] X=[-0.65750113 0.91044854 -0.44783612 -0.01802507 -0.53888572 0.56993158 0.32097309 -0.64447785 0.67379698 -0.26155273 0.88235467], Predicted=[0.61443979 0.38556021] X=[ 2.30534919 -1.07398834 0.37855928 -0.90532952 -0.2642326 0.2171025 0.22684155 0.05772201 -0.18721466 1.57870931 -0.2553989 ], Predicted=[0.78623574 0.21376426] X=[-0.4204731 0.51356116 0.37855928 0.37633246 0.10197156 1.92244304 0.83869658 0.29847624 -0.31967798 0.08897337 -0.74300757], Predicted=[0.90086608 0.09913392] X=[ 0.29061097 -1.8677631 -0.28255704 -0.03774295 -0.63043676 -0.6649702 -0.10261885 -0.34353506 -1.31315295 -0.87497341 0.31347789], Predicted=[0.71162711 0.28837289] X=[-0.30195909 -0.37943543 0.37855928 1.25377797 -0.53888572 -1.60584774 -1.514592 -0.0559675 -0.58460464 0.70239405 1.93884012], Predicted=[0.36744936 0.63255064] X=[ 1.59426511 -0.18099175 1.28759423 -0.23492171 -0.2642326 -0.95899443 -0.90273697 0.02428392 -0.45214131 -1.31313104 -0.33666701], Predicted=[0.89470606 0.10529394] X=[-0.18344508 -1.17321019 -0.44783612 -0.76730438 0.01042052 0.27590734 0.34450598 -0.64447785 1.26988195 0.1766049 0.71981845], Predicted=[0.58233445 0.41766555] X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.2642326 -0.07692173 0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93414512 0.06585488] X=[-0.53898711 -1.47087572 1.12231514 -0.94476527 2.11609443 0.27590734 0.46217041 -0.41041123 0.14394366 -1.13786799 -0.58047134], Predicted=[0.95816888 0.04183112] X=[-0.06493106 -0.37943543 1.28759423 2.5452989 0.51395124 1.15798004 2.55659724 2.18104062 -1.24692128 0.61476253 -1.47442057], Predicted=[0.95209025 0.04790975] X=[-0.30195909 1.00967039 -0.36519658 -0.78702226 4.13021731 -1.19421382 -1.06746717 -0.22315794 -0.05475133 0.96528863 -0.82427568], Predicted=[0.98851316 0.01148684] X=[ 0.29061097 0.01745194 -1.19159198 0.27774308 -0.2642326 0.74634612 1.07402544 0.58938761 -0.18721466 0.08897337 -0.90554379], Predicted=[0.90342853 0.09657147] X=[ 2.89791925 0.61278301 1.28759423 0.1791537 0.28507364 -0.31214112 0.17977578 1.32836936 -0.12098299 1.05292016 -0.2553989 ], Predicted=[0.94448778 0.05551222] X=[ 0.40912499 -0.77632281 2.27926871 1.93404472 -0.12690604 -1.25301866 -0.83213831 1.56243598 -0.8495313 -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649] X=[ 0.05358295 -0.87554465 0.13064066 -0.27435747 0.97170644 -0.19453143 0.27390732 0.32522671 1.13741862 -0.08628968 -0.58047134], Predicted=[0.90941886 0.09058114] X=[-0.77601514 -0.0817699 -0.11727796 -0.01802507 0.10197156 0.68754127 0.48570329 -0.40372361 0.14394366 0.96528863 0.394746 ], Predicted=[0.70036051 0.29963949] X=[-0.06493106 0.41433932 -0.03463842 -1.12222616 -0.85931436 -1.19421382 -1.70285508 -1.3801158 -0.51837298 -1.57602562 1.04489089], Predicted=[0.76393553 0.23606447] X=[ 1.4757511 0.01745194 1.28759423 -1.06307253 -0.2642326 -0.19453143 0.22684155 -0.14290653 -0.38590965 -0.69971036 -0.41793512], Predicted=[0.94371054 0.05628946] X=[ 0.05358295 3.34138372 0.70911744 1.1058939 0.97170644 -0.6649702 -0.17321751 1.08427132 0.01148034 -1.31313104 -0.9868119 ], Predicted=[0.98872302 0.01127698] X=[-0.65750113 1.30733592 -0.94367336 0.1791537 -0.4931102 -0.72377504 -0.50267791 -0.77154259 0.077712 -0.87497341 1.15866625], Predicted=[0.6533317 0.3466683] X=[-0.18344508 -1.66931941 0.04800112 0.47492185 -0.12690604 0.33471219 -0.59680945 0.72648377 1.53480861 -0.78734189 -0.9868119 ], Predicted=[0.79589592 0.20410408] X=[-1.01304317 -0.77632281 -0.77839428 -0.90532952 -0.7219878 -0.31214112 -0.78507254 -1.04573491 0.8062603 -0.17392121 0.80108656], Predicted=[0.58669574 0.41330426] X=[-0.65750113 0.11667379 -1.60478968 0.129859 -0.035355 0.86395581 0.90929523 0.53923048 0.27640699 -0.61207884 -1.23061624], Predicted=[0.94408448 0.05591552] X=[-0.4204731 0.41433932 -0.28255704 -0.80674014 0.23929812 -0.90018958 -0.26734905 -1.46705482 -0.38590965 0.26423642 1.85757201], Predicted=[0.5991242 0.4008758] X=[-1.72412724 3.09332911 -2.18326647 0.12000007 -0.035355 0.04068796 0.20330866 0.12459818 1.0049553 0.70239405 -0.66173945], Predicted=[0.95132238 0.04867762] X=[-0.89452915 0.41433932 -0.69575474 -0.9250474 -0.53888572 0.09949281 -0.05555308 -0.67791594 1.86596693 0.08897337 0.23220977], Predicted=[0.74811217 0.25188783] X=[ 0.88318104 0.31511748 -0.86103382 1.24391904 0.37662468 -0.90018958 0.01504558 1.44874648 -0.18721466 0.08897337 -0.66173945], Predicted=[0.93419611 0.06580389] X=[-1.01304317 -0.87554465 -0.6131152 1.18476541 0.10197156 0.86395581 0.20330866 1.06086466 0.74002864 -1.13786799 -1.31188435], Predicted=[0.89453069 0.10546931] X=[ 1.00169505 -0.47865728 -0.1999175 0.8495615 -0.35578364 1.39319943 1.12109121 0.96055039 -0.45214131 0.527131 -0.82427568], Predicted=[0.82867014 0.17132986] X=[-0.4204731 0.11667379 -0.69575474 0.82984363 -0.31000812 -0.19453143 -0.43207925 0.72648377 0.8062603 -1.31313104 -0.33666701], Predicted=[0.86844514 0.13155486] X=[-0.18344508 -0.57787912 0.46119882 -1.02363678 0.14774708 -0.5473605 0.32097309 -0.18971985 2.06466192 -0.17392121 -0.41793512], Predicted=[0.88405662 0.11594338] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226 0.10197156 0.33471219 1.45055161 -0.07603035 2.06466192 0.08897337 -0.66173945], Predicted=[0.84760581 0.15239419] X=[ 0.17209696 0.8112267 -1.60478968 1.02702239 -0.12690604 -0.01811689 2.10947241 1.2280551 -0.38590965 0.1766049 -1.31188435], Predicted=[0.95605644 0.04394356] X=[ 1.71277913 -0.87554465 1.28759423 -1.02363678 0.23929812 -1.4294332 -0.0320202 -0.74479212 -0.8495313 -0.26155273 0.394746 ], Predicted=[0.83269121 0.16730879] X=[ 0.527639 -0.67710097 -0.03463842 -1.06307253 -0.40155916 1.80483335 0.13271 -0.57760167 -0.51837298 0.26423642 -0.2553989 ], Predicted=[0.80590706 0.19409294] X=[-0.06493106 0.71200485 0.87439652 0.02141068 0.46817572 -0.25333627 0.53276906 0.39210289 -0.31967798 -0.43681578 -0.82427568], Predicted=[0.96950001 0.03049999] X=[ 0.05358295 1.50577961 -0.44783612 0.59322911 0.46817572 -0.37094597 1.05049255 0.63954474 -0.12098299 -0.52444731 -0.90554379], Predicted=[0.96342228 0.03657772] X=[ 0.64615301 0.21589563 -0.94367336 -0.22506277 0.33084916 -0.13572658 0.97989389 -0.47728741 -0.38590965 -0.34918426 0.88235467], Predicted=[0.75330647 0.24669353] X=[ 0.29061097 0.8112267 -0.44783612 -0.78702226 -0.44733468 -0.01811689 -0.54974368 -1.56068147 0.01148034 -0.43681578 2.42644879], Predicted=[0.36914128 0.63085872] X=[ 0.64615301 0.01745194 1.37023377 1.12561178 0.14774708 0.74634612 -0.38501348 1.09430274 -1.18068962 -0.43681578 -1.23061624], Predicted=[0.94446881 0.05553119] X=[ 0.527639 0.41433932 -0.36519658 -0.96448315 -0.35578364 -0.19453143 0.13271 -0.35691029 0.077712 0.527131 0.23220977], Predicted=[0.87259452 0.12740548] X=[ 0.05358295 -0.57787912 0.79175698 0.00169281 -0.17268156 -0.07692173 -0.54974368 -0.36694172 -0.91576296 0.1766049 0.23220977], Predicted=[0.76034912 0.23965088] X=[-0.18344508 -0.18099175 1.45287331 0.31717883 0.74282884 0.86395581 1.30935429 0.47569811 -0.38590965 0.08897337 -0.74300757], Predicted=[0.94277488 0.05722512] X=[-0.06493106 0.41433932 0.04800112 -0.0771787 0.1935226 -1.78226228 -0.22028328 0.42554098 0.01148034 -0.78734189 -1.14934812], Predicted=[0.97371936 0.02628064] X=[-0.89452915 -0.0817699 -0.1999175 -0.96448315 -0.4931102 -1.07660412 -1.30279603 -1.09254824 0.87249197 -0.43681578 0.47601411], Predicted=[0.72762324 0.27237676] X=[-1.25007119 -0.9747665 0.29591974 -1.04335466 -0.44733468 -0.25333627 -0.99686851 -1.54061862 -0.18721466 -0.08628968 1.20742712], Predicted=[0.55872756 0.44127244] X=[-0.30195909 -0.67710097 0.37855928 -0.82645801 -0.90508988 0.27590734 -0.80860543 -0.87854447 0.40887032 -0.78734189 0.47601411], Predicted=[0.66186303 0.33813697] X=[ 1.00169505 0.61278301 -0.28255704 0.31717883 0.10197156 -0.60616535 1.26228852 0.3586648 -1.44561627 -0.17392121 0.31347789], Predicted=[0.92223817 0.07776183] X=[ 0.05358295 -1.17321019 0.13064066 -1.0039189 -0.12690604 -0.84138474 1.02695966 -0.44384932 0.40887032 1.14055168 0.23220977], Predicted=[0.80782025 0.19217975] X=[-1.84264125 -0.47865728 1.86607101 -1.08279041 -0.21845708 0.62873642 0.06211135 -0.94876445 -0.18721466 1.14055168 -0.66173945], Predicted=[0.89644442 0.10355558] X=[-1.48709922 -0.47865728 -0.36519658 -0.64899712 -1.04241644 -0.95899443 -1.16159871 -1.11929871 0.40887032 0.1766049 0.55728222], Predicted=[0.60473109 0.39526891] X=[ 0.40912499 -1.47087572 1.0396756 -1.0039189 -0.08113052 0.74634612 -0.64387523 -0.92201398 -1.44561627 -0.34918426 0.47601411], Predicted=[0.7733312 0.2266688] X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527 0.33084916 0.68754127 0.27390732 0.25835054 0.67379698 2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752] X=[ 0.17209696 -1.07398834 0.2132802 0.00169281 0.4224002 0.39351704 -0.3614806 -0.2833465 -0.51837298 0.08897337 0.394746 ], Predicted=[0.71073 0.28927] X=[-0.77601514 -0.18099175 -0.11727796 1.75658383 -0.67621228 1.68722366 1.09755832 1.44540267 0.8062603 1.05292016 -0.90554379], Predicted=[0.76718254 0.23281746] X=[-0.30195909 0.21589563 0.95703606 0.31717883 -0.35578364 1.09917519 1.45055161 0.52585524 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.92634971 0.07365029] X=[ 0.29061097 0.41433932 -0.11727796 0.90871513 -0.35578364 -1.13540897 -1.70285508 -0.10946844 0.34263866 -0.78734189 0.80108656], Predicted=[0.53884597 0.46115403] X=[ 0.17209696 -0.67710097 0.04800112 0.31717883 0.51395124 -0.95899443 -0.87920408 0.45897907 -1.31315295 0.87765711 -0.90554379], Predicted=[0.93382797 0.06617203] X=[ 1.83129314 -0.57787912 -0.44783612 2.44670951 -0.81353884 1.15798004 -0.1967504 1.32836936 -1.51184794 -1.22549952 0.88235467], Predicted=[0.46134221 0.53865779] X=[-0.30195909 -0.57787912 1.61815239 1.71714808 0.28507364 -0.78257989 -0.05555308 1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=[0.97254838 0.02745162] X=[ 1.35723709 0.51356116 -0.11727796 -0.35322897 -0.21845708 -0.25333627 0.97989389 -0.73141688 -1.77677459 2.19213 1.36996334], Predicted=[0.61447783 0.38552217] X=[ 1.59426511 1.40655776 -0.36519658 -0.45181836 -0.7219878 -0.25333627 -0.90273697 -0.97885873 -1.24692128 -1.48839409 1.85757201], Predicted=[0.64819901 0.35180099] X=[-0.06493106 0.21589563 -0.53047566 1.02702239 -0.81353884 -0.78257989 -0.97333563 -0.29672173 -1.51184794 -0.96260494 0.96362278], Predicted=[0.58748588 0.41251412] X=[-1.25007119 -0.87554465 -0.77839428 -1.0039189 -0.08113052 0.15829765 -0.24381617 -0.13621891 3.85291685 0.96528863 0.06967355], Predicted=[0.67912983 0.32087017] X=[-1.13155718 -0.77632281 0.54383836 -1.0039189 0.05619604 -0.72377504 -1.09100005 -0.57091406 0.077712 -0.34918426 -0.41793512], Predicted=[0.92541649 0.07458351] X=[ 0.40912499 -0.37943543 0.2132802 -0.86589377 -0.76776332 -0.84138474 -1.77345374 -1.09254824 -0.38590965 1.22818321 1.61376767], Predicted=[0.46220676 0.53779324] X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317] X=[-2.07966928 -1.37165388 -0.69575474 -1.12222616 -0.31000812 -1.19421382 -1.16159871 -0.71135403 0.21017533 -0.52444731 -1.06808001], Predicted=[0.93146746 0.06853254] X=[ 0.40912499 -0.28021359 0.46119882 2.47628633 -0.35578364 0.39351704 0.39157175 1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=[0.914397 0.085603] X=[ 4.09124986e-01 1.90266698e+00 -1.43951060e+00 -9.68965766e-02 1.01971559e-01 -1.25301866e+00 -3.14414825e-01 8.44724758e-02 -6.50836305e-01 1.34184656e-03 -5.80471343e-01], Predicted=[0.95670467 0.04329533] X=[ 0.64615301 -0.9747665 -0.36519658 -0.98420103 -0.17268156 -0.07692173 -0.87920408 -0.06265511 2.32958858 0.96528863 -0.01159456], Predicted=[0.68461563 0.31538437] X=[-1.84264125 3.04371819 -2.18326647 0.13971794 -0.08113052 -0.07692173 0.15624289 0.15803627 1.0049553 0.70239405 -0.66173945], Predicted=[0.9538213 0.0461787] X=[-1.01304317 -0.67710097 -0.28255704 0.45520397 -0.44733468 0.68754127 -0.26734905 -0.11615605 -0.05475133 -0.87497341 0.06967355], Predicted=[0.72027452 0.27972548] X=[-0.30195909 1.80344514 1.28759423 0.19887157 0.28507364 -0.95899443 1.07402544 0.52585524 -0.51837298 -0.96260494 -1.23061624], Predicted=[0.98882448 0.01117552] X=[-0.53898711 0.41433932 -0.53047566 -0.29407534 -0.53888572 -1.01779928 -0.38501348 -0.81166829 1.13741862 1.92923542 1.61376767], Predicted=[0.38915668 0.61084332] X=[ 0.527639 0.8112267 2.36190825 0.13971794 -0.58466124 0.74634612 1.09755832 0.23160006 -0.31967798 1.14055168 0.06967355], Predicted=[0.86234895 0.13765105] X=[ 0.17209696 -0.47865728 -0.6131152 0.15943582 -0.21845708 -0.84138474 -1.13806583 0.35532099 0.21017533 0.527131 -0.82427568], Predicted=[0.85576155 0.14423845] X=[ 0.527639 -0.87554465 -0.77839428 -0.01802507 0.37662468 -0.07692173 2.18007107 0.79335995 1.13741862 0.43949948 -0.41793512], Predicted=[0.89547703 0.10452297] X=[-0.06493106 0.51356116 -0.1999175 0.19887157 -0.035355 -0.07692173 0.10917712 -0.59097691 -0.8495313 0.527131 1.36996334], Predicted=[0.62322833 0.37677167] X=[-1.01304317 -0.9747665 -0.53047566 -0.96448315 1.97876787 0.27590734 0.10917712 -0.57760167 1.99843026 1.14055168 0.23220977], Predicted=[0.79511213 0.20488787] X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 -0.52444731 0.63855033], Predicted=[0.71446484 0.28553516] X=[-0.18344508 3.2917728 -1.0263129 -0.93490633 3.26048243 0.27590734 2.39186704 -0.07603035 -0.51837298 0.70239405 -0.9868119 ], Predicted=[0.99646099 0.00353901] X=[-1.72412724 -0.47865728 0.2132802 -0.96448315 -0.7219878 2.27527212 -0.40854637 -1.42692912 0.34263866 4.38291814 1.28869523], Predicted=[0.23153071 0.76846929] X=[-0.18344508 -0.87554465 -0.11727796 -0.53068986 -0.21845708 -0.5473605 -1.46752623 -0.76819878 -1.90923792 0.70239405 -0.01159456], Predicted=[0.81127442 0.18872558] X=[ 1.71277913 0.01745194 -0.53047566 2.19037712 -0.035355 0.74634612 2.69779455 2.04394445 -1.11445795 0.61476253 -1.14934812], Predicted=[0.90043927 0.09956073] X=[-0.06493106 -0.9747665 1.0396756 -0.98420103 0.83437988 0.09949281 0.50923618 -0.54416359 1.20365029 -0.34918426 0.47601411], Predicted=[0.82293319 0.17706681] X=[-1.25007119 -0.67710097 -0.11727796 -0.94476527 -0.035355 0.15829765 -1.0204014 -1.52724338 0.27640699 3.94476052 1.53249956], Predicted=[0.26247549 0.73752451] X=[-0.77601514 -0.77632281 -0.03463842 -0.19548596 -0.81353884 -0.84138474 -1.49105911 -1.306552 1.13741862 -0.69971036 2.42644879], Predicted=[0.18094839 0.81905161] X=[ 2.4238632 -0.0817699 0.04800112 0.8495615 -0.76776332 -0.92959201 0.65043349 0.89033041 -0.38590965 -0.08628968 0.06967355], Predicted=[0.76279926 0.23720074] X=[ 0.29061097 -1.57009756 -0.28255704 -0.64899712 -1.27129404 -1.19421382 -2.38530877 -1.33330247 -1.11445795 0.26423642 1.126159 ], Predicted=[0.33320882 0.66679118] X=[ 0.05358295 -0.57787912 1.28759423 0.12000007 0.78860436 0.86395581 0.69749926 0.55929333 2.32958858 0.08897337 -0.17413078], Predicted=[0.8164184 0.1835816] X=[-0.06493106 -1.66931941 -0.53047566 0.43548609 -0.08113052 0.56993158 -0.80860543 0.17141151 0.077712 -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046] X=[ 0.29061097 -0.87554465 -0.44783612 -0.55040774 -0.58466124 -1.13540897 -1.42046046 -0.34353506 -1.84300626 2.5426561 0.71981845], Predicted=[0.7607459 0.2392541] X=[-0.89452915 0.41433932 -0.77839428 -0.96448315 -0.44733468 0.15829765 -0.33794771 -1.41355388 0.67379698 -0.61207884 1.53249956], Predicted=[0.55621719 0.44378281] X=[ 0.05358295 -0.18099175 -0.36519658 -0.43210048 -0.12690604 -0.13572658 -0.57327657 -1.27980153 -0.18721466 -1.57602562 1.61376767], Predicted=[0.48910867 0.51089133] X=[-0.06493106 -0.37943543 0.04800112 -0.72786863 0.05619604 1.71662608 1.88590999 -0.2097827 0.74002864 0.79002558 -0.66173945], Predicted=[0.8466949 0.1533051] X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111 -0.67621228 -0.25333627 -1.09100005 -0.61103976 -1.18068962 -1.40076257 1.20742712], Predicted=[0.59769033 0.40230967] X=[-1.48709922 -0.18099175 -2.76174325 0.75097212 -0.35578364 -1.31182351 -0.64387523 -0.29337792 1.66727194 -0.26155273 1.53249956], Predicted=[0.34465094 0.65534906] X=[ 3.72751734 -0.47865728 -0.53047566 1.51996931 -0.58466124 0.56993158 0.65043349 1.59587407 -3.10140787 -0.52444731 -0.66173945], Predicted=[0.88351295 0.11648705] X=[ 0.64615301 -0.37943543 -0.94367336 0.8495615 -0.17268156 -0.5473605 -1.3498618 0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=[0.90337214 0.09662786] X=[ 0.64615301 -1.22282111 0.04800112 -0.80674014 -0.035355 2.2458697 1.78001201 -0.2097827 -0.05475133 1.05292016 -0.49920323], Predicted=[0.78340214 0.21659786] X=[-0.53898711 0.11667379 -0.77839428 -0.62927925 -0.40155916 -0.25333627 -1.0204014 -1.54061862 -1.90923792 1.49107779 1.69503579], Predicted=[0.4895993 0.5104007] X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01 -2.64232600e-01 3.34712191e-01 1.75647912e+00 -4.43849321e-01 6.07565312e-01 1.34184656e-03 1.04489089e+00], Predicted=[0.65367291 0.34632709] X=[ 1.00169505 -1.27243203 -0.36519658 -1.0039189 -0.76776332 -1.48823805 -1.74992086 -0.27665888 1.07118696 -0.87497341 -0.33666701], Predicted=[0.78985932 0.21014068] X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103 0.05619604 -0.31214112 -1.13806583 -0.79829306 0.54133365 0.43949948 0.55728222], Predicted=[0.61503461 0.38496539] X=[ 0.76466702 0.31511748 1.45287331 1.65799445 -0.31000812 1.56961397 1.54468315 1.39524554 -0.8495313 0.96528863 -0.82427568], Predicted=[0.8721652 0.1278348] X=[ 0.40912499 0.41433932 -0.77839428 -0.15605021 -0.58466124 -0.72377504 -0.43207925 -0.22984555 -1.77677459 1.49107779 -0.17413078], Predicted=[0.8597897 0.1402103] X=[-0.89452915 0.8112267 -0.6131152 0.34675565 -0.4931102 -1.25301866 -1.1851316 -1.24301963 -0.8495313 -1.92655172 2.02010823], Predicted=[0.51014763 0.48985237] X=[ 2.54237721 0.31511748 1.28759423 0.10028219 -0.53888572 -0.5473605 -1.11453294 -0.10946844 -1.31315295 -1.31313104 0.80108656], Predicted=[0.75575694 0.24424306] X=[-0.4204731 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=[0.88770928 0.11229072] X=[-0.18344508 0.31511748 -1.27423152 0.2580252 -0.12690604 1.27558973 1.45055161 0.5459181 -0.12098299 -0.43681578 -0.90554379], Predicted=[0.92814348 0.07185652] X=[ 0.88318104 -0.9747665 1.0396756 0.75097212 0.4224002 1.33439458 -0.07908597 0.9271123 -0.31967798 -0.52444731 -0.49920323], Predicted=[0.87155273 0.12844727] X=[ 0.40912499 -0.57787912 -0.44783612 0.15943582 0.6512778 0.33471219 -0.14968462 -0.17634461 -0.71706797 0.87765711 0.63855033], Predicted=[0.69174657 0.30825343] X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137 0.10197156 0.33471219 0.53276906 -0.49066264 -0.18721466 0.08897337 -0.01159456], Predicted=[0.85791884 0.14208116] X=[ 0.05358295 0.01745194 0.54383836 0.35661459 -0.44733468 -1.19421382 -1.0204014 0.12459818 -0.12098299 -1.40076257 -0.2553989 ], Predicted=[0.87718401 0.12281599] X=[-1.3685852 0.56317209 0.04800112 -1.06307253 -0.2642326 -1.31182351 0.83869658 -0.67791594 0.54133365 1.49107779 -0.41793512], Predicted=[0.92297162 0.07702838] X=[-0.4204731 -0.57787912 -1.19159198 -0.37294685 2.29919651 -1.13540897 -0.54974368 -0.10946844 -1.11445795 -0.43681578 -0.74300757], Predicted=[0.97361739 0.02638261] X=[-1.01304317 -0.28021359 -0.44783612 0.2580252 0.33084916 0.09949281 -0.14968462 0.28844481 -0.8495313 0.08897337 -0.90554379], Predicted=[0.94234647 0.05765353] X=[ 0.527639 -0.67710097 -0.28255704 0.88899726 -0.40155916 -1.01779928 -0.62034234 0.99398848 1.40234528 0.08897337 -0.74300757], Predicted=[0.77760874 0.22239126] X=[-0.06493106 -0.18099175 0.04800112 1.48053356 -0.53888572 0.2171025 -0.10261885 0.29178862 0.93872363 0.35186795 1.20742712], Predicted=[0.29064664 0.70935336] X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909] X=[-0.18344508 2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989 -0.40854637 -1.71449668 -0.25344632 0.35186795 1.7763039 ], Predicted=[0.55726365 0.44273635] X=[ 0.05358295 -0.87554465 0.37855928 -1.03349572 -1.04241644 -0.31214112 -0.78507254 -1.18951869 -0.51837298 -0.96260494 0.71981845], Predicted=[0.65945341 0.34054659] X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634] X=[ 0.05358295 0.51356116 -0.6131152 -0.27435747 -0.85931436 0.62873642 0.10917712 -0.54416359 0.40887032 -0.52444731 0.55728222], Predicted=[0.65560165 0.34439835] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[-0.30195909 0.11667379 -0.36519658 -0.90532952 -0.44733468 0.15829765 -0.8556712 -1.95190711 -0.71706797 -0.61207884 2.58898502], Predicted=[0.31455066 0.68544934] X=[ 0.40912499 0.61278301 -1.10895244 -0.11661445 0.74282884 0.9815655 1.52115026 0.19481817 -0.12098299 -0.43681578 -0.58047134], Predicted=[0.93344991 0.06655009] X=[-0.18344508 -0.67710097 0.70911744 0.53407548 0.14774708 -0.25333627 0.27390732 0.42554098 -0.45214131 2.19213 -0.49920323], Predicted=[0.82197346 0.17802654] X=[-1.25007119 0.01745194 0.04800112 -0.82645801 -0.40155916 -0.6649702 -0.31441482 -1.39349103 1.13741862 -1.40076257 1.85757201], Predicted=[0.55273868 0.44726132] X=[ 0.29061097 -1.17321019 0.2132802 0.8495615 -0.08113052 -0.90018958 -1.13806583 0.62616951 -0.18721466 -0.43681578 0.31347789], Predicted=[0.76528952 0.23471048] X=[ 1.83129314 0.71200485 1.86607101 1.46081568 0.10197156 1.15798004 1.21522275 1.76306451 -0.78329963 0.79002558 -0.90554379], Predicted=[0.9403897 0.0596103] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[-0.89452915 -0.0817699 -0.28255704 2.0326341 -0.31000812 0.80515096 0.79163081 1.946974 1.40234528 -0.34918426 -0.90554379], Predicted=[0.8846617 0.1153383] X=[ 1.83129314 -0.0817699 -0.28255704 -0.82645801 -0.40155916 0.04068796 -0.22028328 -1.06245396 -1.97546959 -1.66365715 0.77399719], Predicted=[0.7572711 0.2427289] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[ 0.29061097 0.51356116 -0.69575474 -0.94476527 -0.7219878 -0.60616535 -0.29088194 -1.31323962 0.21017533 -1.31313104 1.28869523], Predicted=[0.61337075 0.38662925] X=[-1.01304317 0.8112267 -1.4395106 -0.01802507 -0.44733468 0.04068796 1.23875564 0.05772201 -0.12098299 1.14055168 -0.58047134], Predicted=[0.90465161 0.09534839] X=[-1.84264125 -0.03215898 -0.77839428 0.19887157 -0.35578364 -0.42975081 -0.57327657 -0.30006554 1.26988195 0.1766049 0.394746 ], Predicted=[0.68234111 0.31765889] X=[-0.77601514 0.01745194 -0.53047566 0.77069 -0.7219878 -0.5473605 -0.71447388 -0.04927988 0.077712 -1.13786799 0.15094166], Predicted=[0.70948834 0.29051166] X=[-0.30195909 0.51356116 -0.77839428 1.9044679 -0.035355 -0.25333627 0.20330866 1.40193316 -0.71706797 0.26423642 -1.06808001], Predicted=[0.91620177 0.08379823] X=[-0.06493106 -0.77632281 -0.44783612 1.22420116 0.10197156 1.09917519 -0.05555308 0.51248001 0.01148034 -1.05023647 0.15094166], Predicted=[0.65769956 0.34230044] X=[ 0.29061097 0.71200485 -0.53047566 -0.64899712 -0.53888572 -0.42975081 -0.10261885 -1.44699197 0.47510198 -0.96260494 2.10137634], Predicted=[0.38781812 0.61218188] X=[-0.18344508 1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535 -1.25573025 -1.05911015 -0.91576296 -1.31313104 0.96362278], Predicted=[0.84515282 0.15484718] X=[-0.30195909 1.30733592 -1.4395106 -0.98420103 -0.40155916 -0.42975081 0.50923618 -0.78826163 -1.5780796 -0.34918426 0.06967355], Predicted=[0.94688255 0.05311745] X=[-0.4204731 -1.61970849 -0.36519658 -0.8757527 -0.35578364 2.21646728 0.65043349 -1.68105859 -0.45214131 -2.10181478 1.93884012], Predicted=[0.31083052 0.68916948] X=[-0.06493106 1.70422329 0.2132802 -0.27435747 -0.58466124 -0.42975081 0.41510463 -1.01229682 -0.51837298 -0.78734189 1.53249956], Predicted=[0.72586817 0.27413183] X=[-0.06493106 -0.67710097 0.2132802 2.30868438 0.01042052 -0.19453143 -0.12615174 1.99713113 0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[ 0.05358295 0.21589563 0.95703606 -0.98420103 -0.31000812 0.04068796 -0.38501348 -1.14939299 -0.78329963 -0.17392121 0.47601411], Predicted=[0.80002353 0.19997647] X=[ 0.29061097 0.21589563 1.28759423 -0.94476527 -0.035355 -0.25333627 -0.90273697 0.05772201 1.40234528 0.87765711 -0.2553989 ], Predicted=[0.90854725 0.09145275] X=[ 1.23872307 0.66239393 1.45287331 1.75658383 0.05619604 1.09917519 0.76809792 1.56243598 -0.6508363 0.1766049 -1.14934812], Predicted=[0.91594441 0.08405559] X=[ 0.05358295 -0.0817699 0.54383836 1.50025143 0.1935226 1.68722366 2.08593952 1.29493128 -0.05475133 0.79002558 -0.74300757], Predicted=[0.86248145 0.13751855] X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073] X=[-0.06493106 -0.18099175 0.87439652 0.35661459 0.01042052 0.9815655 1.05049255 0.60610665 0.077712 0.1766049 -0.90554379], Predicted=[0.91506172 0.08493828] X=[-0.06493106 -0.0817699 -0.44783612 1.3622263 1.38368612 0.86395581 0.57983483 1.29493128 -1.04822629 -0.96260494 -1.55568868], Predicted=[0.97184754 0.02815246] X=[ 0.40912499 -0.67710097 0.13064066 1.59884082 0.10197156 -0.01811689 0.93282812 1.39524554 -0.91576296 -0.17392121 -1.31188435], Predicted=[0.92168702 0.07831298] X=[ 0.40912499 0.41433932 -0.28255704 0.36647352 -1.179743 -1.25301866 -0.80860543 -0.13621891 -1.31315295 -0.43681578 0.71981845], Predicted=[0.76540444 0.23459556] X=[-1.72412724 1.35694684 -1.19159198 -0.94476527 -0.31000812 -0.48855566 -1.1851316 -0.46056836 2.32958858 -0.69971036 -0.41793512], Predicted=[0.91696952 0.08303048] X=[-0.4204731 0.41433932 -0.86103382 -1.02363678 0.37662468 0.2171025 1.63881469 -0.4371617 -0.05475133 -0.26155273 -0.49920323], Predicted=[0.95195219 0.04804781] X=[-1.13155718 1.60500145 -0.03463842 -1.02363678 0.14774708 -1.37062835 -0.50267791 -0.89860732 1.79973526 -0.43681578 0.80108656], Predicted=[0.87472999 0.12527001] X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[-0.89452915 -0.28021359 -0.77839428 1.12561178 0.01042052 0.92276066 0.79163081 1.32836936 1.07118696 -0.34918426 -0.82427568], Predicted=[0.90703169 0.09296831] X=[-1.13155718e+00 -5.77879122e-01 -1.27423152e+00 1.69280668e-03 -2.18457080e-01 -4.29750812e-01 -4.32079253e-01 8.77254871e-04 5.41333648e-01 8.89733725e-02 -4.99203231e-01], Predicted=[0.83751862 0.16248138] X=[ 1.00169505 1.50577961 -0.44783612 -0.37294685 0.01042052 -0.13572658 -0.8556712 -0.74479212 -0.18721466 0.61476253 1.36996334], Predicted=[0.63805282 0.36194718] X=[ 3.3719753 -0.37943543 0.95703606 -1.02363678 -0.58466124 -1.4294332 -1.86758528 -0.47728741 -2.96894455 -0.17392121 0.23220977], Predicted=[0.8870186 0.1129814] X=[ 0.05358295 -0.47865728 -0.03463842 1.26363691 0.46817572 0.51112673 0.72103215 1.32836936 1.53480861 -0.61207884 -0.58047134], Predicted=[0.85347045 0.14652955] X=[-1.01304317 -0.67710097 -0.28255704 0.45520397 -0.44733468 0.68754127 -0.26734905 -0.11615605 -0.05475133 -0.87497341 0.06967355], Predicted=[0.72027452 0.27972548] X=[-1.25007119 -0.77632281 0.04800112 -1.06307253 -0.4931102 0.27590734 -1.23219737 -1.37008437 2.06466192 -0.61207884 0.96362278], Predicted=[0.41903853 0.58096147] X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504 -0.17321751 -0.79829306 0.40887032 -0.34918426 -0.58047134], Predicted=[0.86865351 0.13134649] X=[-0.06493106 -0.37943543 -0.03463842 -0.62927925 0.14774708 1.92244304 0.53276906 -0.26328364 -0.58460464 1.75397237 -0.2553989 ], Predicted=[0.82905808 0.17094192] X=[-1.01304317 0.01745194 -0.94367336 1.13547071 0.10197156 0.39351704 0.57983483 0.55929333 0.077712 -0.26155273 -0.33666701], Predicted=[0.83006813 0.16993187] X=[-0.53898711 -0.37943543 -0.94367336 -0.96448315 -0.35578364 0.15829765 0.43863752 -0.2097827 1.46857694 0.527131 -0.49920323], Predicted=[0.85748423 0.14251577] X=[ 2.30534919 1.10889223 0.13064066 -0.90532952 2.29919651 -0.78257989 -1.37339468 -1.29317677 -1.5780796 0.43949948 1.69503579], Predicted=[0.77032955 0.22967045] X=[ 0.527639 2.10111067 -0.11727796 -0.23492171 -0.12690604 -1.01779928 -0.80860543 0.39210289 0.34263866 -0.34918426 0.15094166], Predicted=[0.95889318 0.04110682] X=[ 0.40912499 0.01745194 -0.28255704 0.8495615 -0.08113052 1.51080912 1.96827509 1.06086466 -0.31967798 0.08897337 -1.14934812], Predicted=[0.92025313 0.07974687] X=[ 0.29061097 0.01745194 1.28759423 0.02141068 -0.21845708 -0.42975081 -0.64387523 -0.47728741 1.46857694 0.79002558 1.36996334], Predicted=[0.40434414 0.59565586] X=[-0.06493106 0.01745194 0.04800112 0.21858945 -0.4931102 -0.07692173 0.90929523 0.96723801 0.93872363 -0.52444731 -1.14934812], Predicted=[0.95153086 0.04846914] X=[-0.53898711 -0.28021359 -0.11727796 0.96786876 -0.35578364 1.98124789 1.26228852 0.56932476 -0.31967798 0.08897337 -0.2553989 ], Predicted=[0.77829712 0.22170288] X=[ 1.23872307 0.66239393 1.45287331 1.75658383 0.05619604 1.09917519 0.76809792 1.56243598 -0.6508363 0.1766049 -1.14934812], Predicted=[0.91594441 0.08405559] X=[-1.01304317 -0.0817699 -1.52215014 -0.96448315 0.46817572 -0.01811689 -0.24381617 -0.14290653 -0.45214131 -0.34918426 -1.39315246], Predicted=[0.97733904 0.02266096] X=[-1.84264125 -0.77632281 -0.1999175 -0.55040774 -0.44733468 -0.78257989 -1.11453294 -0.41709885 1.46857694 0.08897337 -0.58047134], Predicted=[0.82665226 0.17334774] X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634] X=[-0.18344508 0.51356116 0.04800112 0.04112856 0.97170644 -0.01811689 0.41510463 0.46566668 -0.51837298 -0.08628968 -0.9868119 ], Predicted=[0.97339808 0.02660192] X=[ 1.94980715 -1.17321019 -0.03463842 -1.06307253 1.38368612 -1.07660412 -1.91465106 -0.64447785 -0.31967798 -0.26155273 0.06967355], Predicted=[0.82048058 0.17951942] X=[ 0.88318104 0.91044854 1.45287331 1.04674027 2.20764547 1.33439458 1.00342678 1.24811795 -1.84300626 0.1766049 -1.23061624], Predicted=[0.98644149 0.01355851] X=[-0.06493106 0.61278301 3.35358273 -0.70815075 1.93299236 -0.72377504 1.09755832 -0.41041123 2.13089358 1.84160389 1.20742712], Predicted=[0.84262782 0.15737218] X=[ 0.76466702 -0.67710097 0.04800112 -1.02363678 0.6512778 -0.5473605 -0.64387523 -0.31009697 2.13089358 -0.17392121 0.15094166], Predicted=[0.78010892 0.21989108] X=[ 0.40912499 0.61278301 -0.44783612 0.79040787 2.84850275 0.45232188 1.14462409 1.12105322 -1.51184794 0.70239405 -0.90554379], Predicted=[0.9861403 0.0138597] X=[-0.4204731 -0.57787912 0.04800112 1.1058939 0.33084916 1.15798004 0.90929523 1.42868363 2.19712525 -0.43681578 -0.49920323], Predicted=[0.85144081 0.14855919] X=[ 1.23872307 -0.87554465 0.95703606 -0.96448315 -0.035355 -1.07660412 -0.99686851 -0.7782302 -0.38590965 -0.87497341 0.394746 ], Predicted=[0.79170193 0.20829807] X=[ 5.35829483e-02 -7.76322810e-01 2.95919742e-01 -3.77429466e-02 -8.59314358e-01 -6.64970198e-01 -9.73335626e-01 -6.77915939e-01 1.26988195e+00 1.34184656e-03 1.36996334e+00], Predicted=[0.2926521 0.7073479] X=[ 2.77940524 0.61278301 1.70079193 2.15094136 0.6512778 0.62873642 2.27420261 2.60570434 -0.71706797 1.05292016 -1.39315246], Predicted=[0.9619483 0.0380517] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[-0.53898711 -1.07398834 -0.28255704 -0.70815075 -0.53888572 -0.13572658 -0.31441482 -0.83841876 -1.04822629 0.00134185 -0.09286267], Predicted=[0.79151247 0.20848753] X=[-0.06493106 0.61278301 -0.53047566 -0.23492171 0.6512778 -1.25301866 0.72103215 -0.50403788 0.54133365 0.70239405 0.88235467], Predicted=[0.76996055 0.23003945] X=[ 0.17209696 -1.37165388 1.28759423 -0.09689658 0.33084916 -0.78257989 -0.47914502 0.45897907 1.13741862 -1.13786799 -0.90554379], Predicted=[0.91607686 0.08392314] X=[-1.01304317 3.88710387 -2.18326647 -1.02363678 0.6512778 -1.54704289 -0.71447388 -0.31009697 -0.51837298 -1.22549952 -1.47442057], Predicted=[0.99648539 0.00351461] X=[ 1.4757511 -0.0817699 -0.03463842 -1.0039189 -0.035355 -0.5473605 -0.90273697 -1.12598632 -1.37938461 -0.43681578 1.53249956], Predicted=[0.68575066 0.31424934] X=[-0.53898711 0.41433932 1.37023377 0.8495615 0.05619604 1.27558973 1.59174892 0.9271123 -0.71706797 0.96528863 -0.90554379], Predicted=[0.94722572 0.05277428] X=[-1.13155718 -0.37943543 -0.44783612 -1.0039189 -0.63043676 0.04068796 -1.0204014 -1.71784049 -0.71706797 1.31581474 1.93884012], Predicted=[0.38273008 0.61726992] X=[-1.84264125 -1.17321019 0.46119882 -1.06307253 -0.81353884 0.27590734 -0.87920408 -0.82504353 2.52828357 0.87765711 0.06967355], Predicted=[0.57347933 0.42652067] X=[ 0.40912499 -0.77632281 0.04800112 -0.72786863 -0.63043676 0.80515096 0.29744021 -1.34667771 -0.18721466 -0.87497341 1.7763039 ], Predicted=[0.34998111 0.65001889] X=[-1.25007119 -1.27243203 -0.11727796 -1.02363678 -0.40155916 -1.25301866 -0.45561214 -0.8885759 0.01148034 0.08897337 -0.2553989 ], Predicted=[0.84356184 0.15643816] X=[ 0.76466702 -0.47865728 2.85774549 0.90871513 0.05619604 0.09949281 -0.12615174 1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=[0.9745107 0.0254893] X=[ 0.05358295 0.11667379 0.54383836 2.57487571 -0.12690604 0.04068796 0.41510463 1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=[0.93632839 0.06367161] X=[-1.01304317 -1.17321019 -0.53047566 1.1058939 -0.7219878 0.2171025 -0.94980274 -0.00246655 -0.25344632 -1.31313104 0.23220977], Predicted=[0.54268908 0.45731092] X=[ 1.00169505 -0.28021359 1.28759423 -0.76730438 0.05619604 -0.25333627 0.72103215 -0.50403788 -0.78329963 0.70239405 0.06967355], Predicted=[0.8565003 0.1434997] X=[-0.65750113 0.41433932 -0.11727796 -0.96448315 -0.40155916 -1.37062835 -1.46752623 -1.37008437 0.74002864 -0.26155273 1.45123145], Predicted=[0.60151249 0.39848751] X=[-0.06493106 -0.47865728 0.70911744 0.19887157 -0.08113052 1.21678489 1.19168986 0.59273142 0.21017533 -0.08628968 -0.9868119 ], Predicted=[0.9156761 0.0843239] X=[-0.53898711 -1.27243203 -0.36519658 -0.90532952 -0.08113052 -0.84138474 -0.54974368 -0.79160544 -0.58460464 -0.96260494 -0.2553989 ], Predicted=[0.87304667 0.12695333] X=[ 0.88318104 -0.57787912 0.04800112 0.65238274 -0.4931102 -0.5473605 0.10917712 0.82679804 -0.71706797 0.00134185 -0.58047134], Predicted=[0.88564463 0.11435537] X=[-1.01304317 -0.57787912 -0.03463842 1.14532965 -0.58466124 -0.60616535 -0.97333563 -0.15628176 -0.12098299 -0.61207884 0.63855033], Predicted=[0.50164862 0.49835138] X=[ 0.64615301 0.01745194 0.2132802 -1.04335466 -0.81353884 0.39351704 -0.78507254 -1.58074433 -1.31315295 -0.87497341 1.53249956], Predicted=[0.53937656 0.46062344] X=[ 1.23872307 -0.9747665 0.29591974 -0.668715 0.69705332 -0.60616535 0.93282812 0.32522671 0.21017533 0.1766049 -0.41793512], Predicted=[0.93282084 0.06717916] X=[-0.18344508 -0.87554465 0.6264779 1.81573746 0.46817572 2.33407697 0.39157175 1.82994069 0.077712 -0.43681578 -1.39315246], Predicted=[0.91464712 0.08535288] X=[-0.30195909 -0.47865728 -0.6131152 -1.0039189 -0.035355 -1.13540897 -0.24381617 -0.2097827 1.13741862 0.96528863 -0.41793512], Predicted=[0.88734627 0.11265373] X=[-0.30195909 1.50577961 -0.77839428 1.08617602 -0.2642326 1.09917519 0.48570329 0.73317139 -0.31967798 0.43949948 -0.58047134], Predicted=[0.88714658 0.11285342] X=[-0.06493106 -0.18099175 1.20495468 -0.03774295 0.14774708 1.15798004 1.02695966 0.59941904 0.14394366 -0.34918426 -0.90554379], Predicted=[0.95268657 0.04731343] X=[-0.18344508 -0.37943543 0.46119882 -0.68843288 5.82391155 1.62841881 0.43863752 -0.10946844 -0.58460464 -1.31313104 -0.90554379], Predicted=[0.99332517 0.00667483] X=[ 1.4757511 0.01745194 1.0396756 1.77630171 0.60550228 -0.19453143 0.90929523 2.13088348 0.54133365 0.79002558 -1.23061624], Predicted=[0.93398656 0.06601344] X=[-1.3685852 -0.28021359 -0.6131152 1.20448328 0.14774708 1.01096792 -0.76153965 0.9638942 -0.71706797 -0.34918426 -0.90554379], Predicted=[0.92708166 0.07291834] X=[-0.18344508 -0.13138082 -0.94367336 0.43548609 0.10197156 1.09917519 1.40348584 0.49241715 0.40887032 -0.69971036 -0.2553989 ], Predicted=[0.86209212 0.13790788] X=[-0.06493106 0.11667379 1.86607101 1.08617602 -0.12690604 1.80483335 2.15653818 1.06086466 -1.11445795 1.22818321 -0.9868119 ], Predicted=[0.92938978 0.07061022] X=[ 0.17209696 -0.57787912 -0.44783612 -0.96448315 -0.40155916 -0.37094597 -0.54974368 -0.44384932 -0.51837298 0.527131 -0.01159456], Predicted=[0.86302292 0.13697708] X=[-0.53898711 0.51356116 -0.77839428 0.67210061 -0.21845708 -0.37094597 -0.690941 0.52585524 0.67379698 -0.17392121 -0.33666701], Predicted=[0.85711499 0.14288501] X=[-1.01304317 -0.18099175 -0.11727796 -0.51097199 -0.76776332 0.74634612 0.97989389 -1.30989581 -0.25344632 -1.31313104 1.20742712], Predicted=[0.57058153 0.42941847] X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492] X=[ 0.05358295 1.30733592 -0.03463842 0.73125424 -0.12690604 -0.42975081 0.32097309 0.9271123 0.077712 0.26423642 -0.90554379], Predicted=[0.95160475 0.04839525] X=[ 0.88318104 2.29955436 -0.77839428 -1.02363678 -0.2642326 -1.48823805 -0.80860543 -0.67791594 -0.91576296 -1.75128867 0.23220977], Predicted=[0.96274684 0.03725316] X=[ 0.527639 0.31511748 2.94038503 0.75097212 -0.21845708 1.33439458 0.50923618 1.2280551 -0.8495313 -0.34918426 -1.55568868], Predicted=[0.97403358 0.02596642] X=[-1.13155718 -0.67710097 -0.44783612 -0.35322897 0.33084916 0.27590734 1.42701872 0.79335995 3.52175853 1.84160389 -0.41793512], Predicted=[0.85740598 0.14259402] X=[ 0.17209696 0.21589563 -0.53047566 -0.96448315 1.38368612 -0.6649702 0.15624289 -0.19640747 -0.58460464 0.26423642 -0.33666701], Predicted=[0.96960507 0.03039493] X=[-1.01304317 0.21589563 0.87439652 -0.96448315 0.01042052 -1.19421382 1.02695966 0.17475531 2.06466192 0.26423642 -0.09286267], Predicted=[0.95673421 0.04326579] X=[-0.30195909 -0.28021359 -0.1999175 1.18476541 0.60550228 0.9815655 1.00342678 1.46212172 2.13089358 -0.17392121 -0.58047134], Predicted=[0.86676933 0.13323067] X=[-0.89452915 -0.57787912 1.28759423 -0.96448315 0.23929812 -1.01779928 -1.20866448 -0.41041123 0.74002864 -0.26155273 -0.74300757], Predicted=[0.93743005 0.06256995] X=[ 1.94980715 0.21589563 -0.44783612 -0.64899712 0.37662468 1.09917519 0.83869658 0.46901049 0.14394366 -0.52444731 -0.90554379], Predicted=[0.94613588 0.05386412] X=[-0.77601514 0.41433932 1.37023377 0.02141068 0.10197156 1.51080912 1.12109121 0.25835054 0.01148034 -0.34918426 -0.74300757], Predicted=[0.94571862 0.05428138] X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916 0.15829765 -1.06746717 -1.27645772 1.13741862 0.00134185 1.20742712], Predicted=[0.44414278 0.55585722] X=[-0.89452915 -0.67710097 0.37855928 -0.96448315 -0.31000812 0.09949281 -0.38501348 -1.44030435 0.077712 -0.52444731 1.20742712], Predicted=[0.57500769 0.42499231] X=[-0.06493106 -0.77632281 0.2132802 -0.94476527 -0.81353884 -1.66465259 -2.1735128 -0.76151116 0.14394366 0.96528863 0.31347789], Predicted=[0.70822514 0.29177486] X=[-0.4204731 0.21589563 -0.36519658 -0.81659907 -0.40155916 -1.60584774 1.68588046 -0.10946844 0.01148034 1.14055168 -0.49920323], Predicted=[0.94871695 0.05128305] X=[ 1.71277913 -0.67710097 2.03135009 2.11150561 0.14774708 1.56961397 1.75647912 2.19775966 -1.18068962 0.1766049 -0.9868119 ], Predicted=[0.92224122 0.07775878] X=[ 1.00169505 -0.47865728 -0.1999175 0.8495615 -0.35578364 1.39319943 1.12109121 0.96055039 -0.45214131 0.527131 -0.82427568], Predicted=[0.82867014 0.17132986] X=[-0.53898711 -0.37943543 -0.86103382 -0.86589377 0.01042052 -0.31214112 -0.12615174 -1.079173 -0.45214131 0.43949948 0.71981845], Predicted=[0.72063722 0.27936278] X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524] X=[ 0.29061097 1.60500145 0.29591974 -0.72786863 -0.21845708 -0.01811689 -0.24381617 -1.48043006 -0.78329963 -0.52444731 2.42644879], Predicted=[0.59413009 0.40586991] X=[ 0.88318104 0.06706287 -0.11727796 1.61855869 0.78860436 -0.19453143 1.47408449 1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=[0.94449256 0.05550744] X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=[0.72301896 0.27698104] X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468 2.27527212 1.07402544 -1.02567206 0.21017533 -0.69971036 0.394746 ], Predicted=[0.66017699 0.33982301] X=[-1.01304317 -0.77632281 -0.6131152 -1.04335466 -0.58466124 0.15829765 -1.6793222 -1.50049291 -0.31967798 -0.96260494 0.80108656], Predicted=[0.60271199 0.39728801] X=[ 0.29061097 0.21589563 0.2132802 0.08056431 0.4224002 0.54052915 2.25066972 1.06086466 1.99843026 1.31581474 -0.2553989 ], Predicted=[0.9110967 0.0889033] X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=[0.62479758 0.37520242] X=[ 1.59426511 -0.47865728 1.28759423 -1.08279041 0.51395124 -1.19421382 -1.53812488 -0.41041123 -0.78329963 -0.96260494 -0.09286267], Predicted=[0.93344595 0.06655405] X=[-0.4204731 -0.37943543 -0.11727796 0.23830733 -0.35578364 0.74634612 1.52115026 0.59273142 1.7335036 0.43949948 -0.66173945], Predicted=[0.82163314 0.17836686] X=[-0.30195909 -0.18099175 1.0396756 0.27774308 0.05619604 0.74634612 1.12109121 0.59273142 0.077712 0.43949948 -1.14934812], Predicted=[0.93420296 0.06579704] X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317] X=[ 1.00169505 1.50577961 0.29591974 0.71153637 5.64080947 -0.78257989 1.68588046 1.24811795 -1.11445795 1.31581474 -0.82427568], Predicted=[0.99654687 0.00345313] X=[ 0.29061097 0.51356116 2.52718733 1.34250842 0.46817572 -1.37062835 -0.78507254 1.06086466 -0.91576296 -0.87497341 -1.06808001], Predicted=[0.96759647 0.03240353] X=[ 0.05358295 0.41433932 -0.6131152 0.37633246 0.33084916 -0.19453143 0.97989389 0.82679804 0.40887032 0.1766049 -1.06808001], Predicted=[0.9501406 0.0498594] X=[-2.07966928 0.71200485 -0.6131152 0.08056431 -0.53888572 0.04068796 -0.43207925 -0.71804165 1.26988195 -0.78734189 0.80108656], Predicted=[0.65041389 0.34958611] X=[-0.18344508 -0.87554465 0.46119882 -1.06307253 -0.63043676 -1.25301866 -1.58519066 -1.64093288 0.8062603 -0.96260494 2.02010823], Predicted=[0.33793466 0.66206534] X=[ 0.05358295 -0.18099175 -0.36519658 -0.43210048 -0.12690604 -0.13572658 -0.57327657 -1.27980153 -0.18721466 -1.57602562 1.61376767], Predicted=[0.48910867 0.51089133] X=[-0.30195909 -0.87554465 0.13064066 -0.96448315 -0.40155916 0.09949281 -0.73800677 -1.32661485 -0.05475133 1.66634084 1.20742712], Predicted=[0.40284083 0.59715917] X=[-0.89452915 1.00967039 -1.60478968 -0.49125411 0.6512778 -0.48855566 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=[0.97938315 0.02061685] X=[ 1.4757511 0.01745194 0.54383836 0.10028219 0.1935226 -0.31214112 -0.97333563 0.3586648 0.47510198 -0.43681578 -0.33666701], Predicted=[0.84419823 0.15580177] X=[-1.13155718 -0.77632281 -0.86103382 -0.96448315 -0.40155916 0.15829765 -1.06746717 -1.27645772 1.13741862 0.00134185 1.20742712], Predicted=[0.44414278 0.55585722] X=[-1.13155718 0.41433932 -0.03463842 -0.84617589 -0.85931436 -0.01811689 -0.00848731 -1.53058719 1.20365029 -0.61207884 1.7763039 ], Predicted=[0.41986309 0.58013691] X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967] X=[ 0.17209696 -0.9747665 -0.6131152 -0.98420103 -0.08113052 0.62873642 -1.16159871 -0.49066264 1.33611362 -0.08628968 0.15094166], Predicted=[0.68584218 0.31415782] X=[ 1.12020906 -0.9747665 -0.1999175 1.14532965 0.33084916 0.62873642 0.03857846 1.32836936 -0.8495313 0.35186795 -1.31188435], Predicted=[0.90251229 0.09748771] X=[ 0.64615301 1.00967039 -0.53047566 0.21858945 -0.21845708 -0.6649702 0.50923618 0.44226002 -0.12098299 -0.52444731 -0.41793512], Predicted=[0.93079204 0.06920796] X=[ 0.64615301 -1.07398834 0.54383836 -0.17576808 -0.40155916 -0.07692173 0.53276906 -0.17634461 -0.91576296 1.14055168 0.80108656], Predicted=[0.68513883 0.31486117] X=[-1.3685852 -0.13138082 -0.44783612 0.10028219 -0.44733468 0.62873642 0.27390732 -0.34687886 1.13741862 -0.43681578 0.23220977], Predicted=[0.67504115 0.32495885] X=[ 1.23872307 1.80344514 -0.11727796 -0.45181836 -0.58466124 0.27590734 -0.00848731 -0.94542065 -0.05475133 -0.43681578 1.85757201], Predicted=[0.55613285 0.44386715] X=[ 0.05358295 1.60500145 -1.27423152 1.06645815 0.23929812 -0.5473605 -0.29088194 1.16117892 0.27640699 -0.08628968 -1.14934812], Predicted=[0.95628672 0.04371328] X=[-0.65750113 0.21589563 -1.19159198 0.2580252 0.14774708 0.68754127 1.07402544 0.37204004 0.21017533 -0.08628968 -0.82427568], Predicted=[0.91415788 0.08584212] X=[-0.65750113 -0.77632281 -1.27423152 0.82984363 -0.035355 1.27558973 0.48570329 0.88029898 -0.6508363 0.43949948 -1.06808001], Predicted=[0.8958386 0.1041614] X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274] X=[-1.48709922 -0.9747665 -0.53047566 -0.9250474 -0.7219878 -0.25333627 -0.83213831 -1.70780906 1.07118696 -1.05023647 1.93884012], Predicted=[0.30423265 0.69576735] X=[ 0.05358295 0.01745194 -0.28255704 0.37633246 -0.90508988 0.09949281 -0.59680945 -0.88188828 -1.31315295 -0.96260494 1.45123145], Predicted=[0.43432721 0.56567279] X=[-2.55372533 5.02815508 -2.76174325 -0.58984349 -0.44733468 -0.72377504 -0.10261885 -1.41021007 2.26335691 3.76949746 2.67025313], Predicted=[0.4995944 0.5004056] X=[-2.43521132 -1.07398834 -0.44783612 -0.68843288 -0.7219878 -0.78257989 -0.64387523 -1.27980153 1.26988195 -1.31313104 0.63855033], Predicted=[0.60540781 0.39459219] X=[ 1.4757511 -0.57787912 0.79175698 -0.96448315 -0.08113052 -0.42975081 -0.22028328 -0.07603035 0.21017533 -0.34918426 0.394746 ], Predicted=[0.87512152 0.12487848] X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959 0.14774708 -0.5473605 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=[0.87660591 0.12339409] X=[ 0.64615301 -0.67710097 -0.53047566 0.1791537 -0.67621228 0.33471219 0.13271 -0.27665888 -0.25344632 -0.96260494 1.04489089], Predicted=[0.53774814 0.46225186] X=[ 0.76466702 0.41433932 1.28759423 -0.9250474 -0.67621228 0.51112673 -0.690941 -1.14604918 -0.78329963 -0.26155273 1.61376767], Predicted=[0.63059373 0.36940627] X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332 -1.0204014 -1.63424527 -1.51184794 -1.13786799 1.61376767], Predicted=[0.62750998 0.37249002] X=[-0.53898711 -0.47865728 -0.6131152 0.33689671 0.37662468 0.68754127 1.00342678 0.45897907 -0.45214131 0.00134185 -0.90554379], Predicted=[0.92560711 0.07439289] X=[ 0.64615301 -0.28021359 0.2132802 -0.85603483 0.1935226 -0.25333627 -0.90273697 -0.67791594 0.01148034 -0.43681578 0.23220977], Predicted=[0.80822177 0.19177823] X=[-1.25007119 0.56317209 -1.60478968 -0.11661445 0.01042052 0.80515096 1.37995295 -0.10946844 0.74002864 1.92923542 -0.17413078], Predicted=[0.80294244 0.19705756] X=[ 1.35723709 4.58165678 -1.0263129 -0.47153623 0.1935226 -0.6649702 -0.12615174 0.05103439 -0.8495313 -0.96260494 -0.66173945], Predicted=[0.98927883 0.01072117] X=[-1.25007119 0.61278301 -1.0263129 0.04112856 -0.2642326 0.86395581 0.67396638 0.02428392 0.67379698 1.14055168 -0.41793512], Predicted=[0.83872767 0.16127233] X=[-3.01959090e-01 -4.78657278e-01 -1.27423152e+00 4.15768217e-01 -8.11305203e-02 1.39319943e+00 1.16815698e+00 5.19167625e-01 -1.87214657e-01 1.34184656e-03 -8.24275678e-01], Predicted=[0.87248064 0.12751936] X=[-0.89452915 -0.0817699 -0.11727796 -0.03774295 0.10197156 0.68754127 0.53276906 -0.40706742 0.21017533 0.96528863 0.394746 ], Predicted=[0.70856156 0.29143844] X=[ 0.88318104 -1.76854125 -0.03463842 -1.06307253 -0.67621228 -0.13572658 -1.06746717 -1.03235968 -0.8495313 1.66634084 0.55728222], Predicted=[0.46392774 0.53607226] X=[-1.01304317 -1.47087572 -0.44783612 -0.13633233 -0.35578364 1.21678489 1.20345631 0.25835054 2.6607469 -0.52444731 0.06967355], Predicted=[0.66717193 0.33282807] X=[-0.18344508 -0.0817699 -0.69575474 0.31717883 0.33084916 1.09917519 1.49761738 0.69304568 0.21017533 -0.52444731 -0.9868119 ], Predicted=[0.93854664 0.06145336] X=[ 0.05358295 -0.87554465 2.19662917 -0.47153623 -0.40155916 -1.72345743 -0.38501348 -0.49400645 -1.77677459 0.87765711 -0.09286267], Predicted=[0.89603267 0.10396733] X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034] X=[-0.4204731 0.71200485 0.37855928 0.19887157 -0.44733468 -0.90018958 1.35642006 1.03411419 1.86596693 -0.08628968 -1.14934812], Predicted=[0.96256426 0.03743574] X=[ 0.64615301 0.11667379 -0.69575474 -0.51097199 -0.08113052 -0.31214112 -0.57327657 -0.67791594 -0.51837298 -0.78734189 0.394746 ], Predicted=[0.77923118 0.22076882] X=[ 0.40912499 0.11667379 0.54383836 1.42137993 -0.035355 1.80483335 2.18007107 1.2280551 -0.71706797 0.87765711 -0.74300757], Predicted=[0.87476106 0.12523894] X=[ 0.29061097 -0.57787912 -0.11727796 2.07206986 0.46817572 0.80515096 0.46217041 1.93025495 1.20365029 -0.96260494 -0.74300757], Predicted=[0.85304555 0.14695445] X=[-0.89452915 0.31511748 2.03135009 -0.27435747 -0.31000812 0.04068796 -0.57327657 -1.04573491 0.74002864 0.96528863 1.45123145], Predicted=[0.47377173 0.52622827] X=[-1.25007119 0.21589563 0.70911744 -1.04335466 -0.44733468 -0.95899443 -0.59680945 -1.77802905 -0.58460464 -0.26155273 1.69503579], Predicted=[0.64398 0.35602] X=[-1.60561323 1.40655776 -2.01798739 -0.94476527 -1.22551852 -1.01779928 -1.65578931 -1.14604918 0.93872363 0.1766049 0.71981845], Predicted=[0.72299624 0.27700376] X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=[0.58017459 0.41982541] X=[ 1.35723709 -0.18099175 -0.44783612 -0.31379322 0.1935226 -0.07692173 0.27390732 0.11456676 -0.38590965 0.08897337 -0.41793512], Predicted=[0.88132444 0.11867556] X=[ 1.12020906 0.01745194 0.04800112 -0.94476527 -0.81353884 -0.19453143 -0.47914502 -1.31323962 -1.24692128 -0.96260494 1.28869523], Predicted=[0.61276087 0.38723913] X=[ 0.17209696 0.61278301 -0.6131152 0.77069 -0.21845708 0.92276066 0.65043349 -0.06934273 -0.71706797 -1.22549952 0.88235467], Predicted=[0.69618261 0.30381739] X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255] X=[ 1.00169505 -1.66931941 0.04800112 1.51011037 -0.2642326 0.33471219 -0.57327657 0.7732971 -0.78329963 0.87765711 0.394746 ], Predicted=[0.44109189 0.55890811] X=[-0.53898711 0.31511748 -0.1999175 1.28335479 -0.035355 1.15798004 0.53276906 0.47904192 -1.11445795 0.87765711 -0.2553989 ], Predicted=[0.78881798 0.21118202] X=[ 0.17209696 -0.77632281 0.37855928 0.33689671 0.1935226 0.39351704 0.81516369 0.60945046 0.74002864 0.43949948 -0.58047134], Predicted=[0.84730264 0.15269736] X=[-0.89452915 -0.18099175 1.45287331 -0.82645801 0.1935226 1.51080912 0.36803886 -0.37697314 -0.71706797 0.96528863 -0.58047134], Predicted=[0.93490177 0.06509823] X=[-0.06493106 0.41433932 -0.28255704 -1.06307253 0.14774708 -0.78257989 -0.59680945 -0.38031695 0.34263866 1.05292016 -0.2553989 ], Predicted=[0.91752069 0.08247931] X=[-0.89452915 -0.37943543 -0.69575474 -0.94476527 -0.08113052 -0.6649702 -0.54974368 -0.64447785 1.33611362 0.87765711 0.31347789], Predicted=[0.75547768 0.24452232] X=[ 2.90610974e-01 5.13561164e-01 -1.27423152e+00 -1.80250700e-02 2.20764547e+00 -4.88555658e-01 6.50433492e-01 2.38287682e-01 -1.90923792e+00 1.34184656e-03 -8.24275678e-01], Predicted=[0.98292768 0.01707232] X=[-1.96115527 0.21589563 0.04800112 -0.96448315 -0.35578364 -1.01779928 -0.99686851 -1.54061862 2.4620519 -0.08628968 2.02010823], Predicted=[0.397317 0.602683] X=[-2.3166973 1.90266698 -1.35687106 -0.88561164 -0.4931102 1.45200427 0.22684155 -1.46705482 0.54133365 -1.22549952 0.80108656], Predicted=[0.79565909 0.20434091] X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479] X=[-0.53898711 -0.67710097 0.04800112 1.9044679 -0.2642326 1.21678489 0.08564423 0.92042469 -0.51837298 -0.96260494 0.06967355], Predicted=[0.69324033 0.30675967] X=[-0.53898711 -0.28021359 1.94871055 -1.06307253 0.74282884 -0.84138474 -0.38501348 -0.5508512 -1.24692128 -0.78734189 -0.82427568], Predicted=[0.98010564 0.01989436] X=[ 2.77940524 -1.37165388 0.29591974 -1.04335466 -0.53888572 0.04068796 -1.27926314 -0.8919197 -0.91576296 0.527131 0.88235467], Predicted=[0.4259054 0.5740946] X=[-1.01304317 0.31511748 -0.11727796 0.19887157 5.91546259 0.68754127 0.48570329 0.39210289 0.01148034 0.08897337 -0.90554379], Predicted=[0.99193219 0.00806781] X=[-0.06493106 -0.47865728 -0.28255704 0.11014113 -0.08113052 0.39351704 0.95636101 0.19147436 0.40887032 0.61476253 0.06967355], Predicted=[0.78030859 0.21969141] X=[ 0.527639 0.21589563 -0.03463842 -0.80674014 -0.12690604 -0.42975081 -0.31441482 -1.06579776 1.0049553 -0.43681578 1.69503579], Predicted=[0.50176956 0.49823044] X=[-0.18344508 -0.37943543 0.2132802 0.39605034 -0.17268156 0.39351704 -0.3614806 0.23494387 1.0049553 0.26423642 0.31347789], Predicted=[0.6747653 0.3252347] X=[ 0.88318104 0.21589563 0.37855928 -0.84617589 -0.12690604 -1.48823805 -0.94980274 -0.35691029 -0.12098299 1.40344626 0.394746 ], Predicted=[0.8464651 0.1535349] X=[ 1.35723709 0.61278301 1.28759423 0.5143576 -0.58466124 0.2171025 0.97989389 -0.14290653 -0.38590965 -0.96260494 1.45123145], Predicted=[0.60323306 0.39676694] X=[ 1.35723709 0.21589563 -0.44783612 -0.13633233 -0.08113052 -0.25333627 -0.33794771 0.25835054 -0.18721466 0.1766049 -0.2553989 ], Predicted=[0.86826451 0.13173549] X=[ 1.59426511 0.01745194 0.70911744 -0.90532952 -0.67621228 -0.31214112 -1.06746717 -0.7782302 -0.6508363 -0.87497341 0.71981845], Predicted=[0.7448134 0.2551866] X=[-1.01304317 -0.18099175 -0.77839428 -1.0039189 0.33084916 1.80483335 0.27390732 -0.54416359 0.14394366 1.14055168 -0.09286267], Predicted=[0.85892601 0.14107399] X=[-0.30195909 0.41433932 0.2132802 0.31717883 0.05619604 1.27558973 0.69749926 0.29178862 -0.25344632 -0.26155273 -0.74300757], Predicted=[0.91037461 0.08962539] X=[-0.06493106 -1.66931941 0.70911744 -1.04335466 -0.17268156 0.92276066 -0.14968462 -1.14939299 -0.05475133 2.19213 0.63855033], Predicted=[0.42196515 0.57803485] X=[ 1.12020906 -0.28021359 0.04800112 1.4410978 -0.08113052 1.80483335 1.07402544 1.91687972 0.21017533 2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017] X=[ 1.00169505 0.01745194 -0.77839428 -0.78702226 -0.08113052 -0.37094597 0.43863752 -0.30340935 0.54133365 0.61476253 0.06967355], Predicted=[0.80079798 0.19920202] X=[-1.13155718 0.61278301 -0.1999175 -0.86589377 -0.7219878 0.15829765 0.08564423 -1.70780906 1.40234528 -0.69971036 1.93884012], Predicted=[0.35152751 0.64847249] X=[ 0.88318104 1.10889223 -0.11727796 -0.55040774 -0.4931102 -0.78257989 -1.06746717 -0.86516923 -0.71706797 0.96528863 1.61376767], Predicted=[0.62647254 0.37352746] X=[ 0.40912499 0.11667379 0.54383836 0.23830733 -0.99664092 1.21678489 0.90929523 -0.41041123 -0.98199462 -1.48839409 0.80108656], Predicted=[0.67134994 0.32865006] X=[-0.4204731 0.01745194 0.13064066 0.67210061 0.97170644 1.51080912 0.97989389 1.06086466 -0.25344632 0.70239405 -1.23061624], Predicted=[0.95977704 0.04022296] X=[ 0.88318104 -0.87554465 0.6264779 -1.04335466 -0.2642326 0.15829765 0.10917712 -1.11261109 -1.77677459 -0.61207884 0.71981845], Predicted=[0.77102357 0.22897643] X=[ 0.64615301 -0.77632281 0.29591974 2.08192879 0.10197156 0.45232188 1.21522275 1.82994069 -1.04822629 -0.61207884 -1.06808001], Predicted=[0.9193486 0.0806514] X=[-0.30195909 0.01745194 0.70911744 0.35661459 -0.08113052 1.45200427 1.35642006 0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.92778434 0.07221566] X=[ 1.4757511 -0.57787912 -0.44783612 0.2580252 -0.12690604 1.27558973 0.88576235 0.45897907 -0.45214131 0.527131 -0.41793512], Predicted=[0.77338974 0.22661026] X=[ 0.88318104 -0.47865728 0.04800112 -0.94476527 -0.12690604 -0.6649702 -0.22028328 -0.32681601 -0.45214131 1.84160389 -0.09286267], Predicted=[0.84241675 0.15758325] X=[ 0.29061097 -0.47865728 0.46119882 -0.94476527 -0.63043676 -1.37062835 -1.72638797 -1.41355388 0.40887032 -0.78734189 1.7763039 ], Predicted=[0.43324487 0.56675513] X=[ 0.17209696 -0.87554465 -0.86103382 -0.13633233 3.53513555 -0.48855566 -0.80860543 0.45897907 -0.98199462 0.43949948 -0.90554379], Predicted=[0.98122198 0.01877802] X=[ 0.05358295 -0.87554465 -0.11727796 0.29746096 -0.17268156 -0.31214112 -0.1967504 0.17809912 1.40234528 -0.87497341 -0.01159456], Predicted=[0.69195415 0.30804585] X=[-1.48709922 1.10889223 -0.77839428 -0.3335111 -0.53888572 -0.48855566 -1.44399334 -1.14604918 0.60756531 -1.13786799 1.7763039 ], Predicted=[0.60615466 0.39384534] X=[-0.53898711 0.11667379 -0.28255704 0.02141068 7.47183026 1.56961397 0.41510463 0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=[0.99541868 0.00458132] X=[-0.53898711 0.71200485 0.13064066 -0.15605021 -0.53888572 -1.54704289 0.22684155 0.12794199 -0.12098299 0.08897337 -0.58047134], Predicted=[0.94962198 0.05037802] X=[ 0.29061097 -0.47865728 -0.86103382 -0.57012562 -0.35578364 -0.72377504 -0.62034234 -0.82169972 -0.91576296 -1.05023647 0.69272908], Predicted=[0.7514247 0.2485753] X=[ 2.06832116e+00 -4.78657278e-01 1.03967560e+00 -1.06307253e+00 3.76624679e-01 -1.54704289e+00 -1.56165777e+00 2.42839167e-02 -1.57807960e+00 1.34184656e-03 -1.14934812e+00], Predicted=[0.97276441 0.02723559] X=[-0.18344508 -0.87554465 0.2132802 -1.04335466 -0.90508988 1.62841881 0.10917712 -0.94542065 0.54133365 -0.08628968 0.394746 ], Predicted=[0.57676672 0.42323328] X=[-0.65750113 1.30733592 -0.28255704 -0.62927925 -0.7219878 0.80515096 0.60336772 -0.44384932 2.26335691 2.63028763 0.96362278], Predicted=[0.54666597 0.45333403] X=[ 2.06832116 -1.07398834 -0.44783612 -0.72786863 0.05619604 0.15829765 0.27390732 -0.12618748 -0.58460464 0.61476253 0.23220977], Predicted=[0.76081007 0.23918993] X=[ 1.59426511 -0.0817699 0.79175698 -0.94476527 -0.4931102 -0.25333627 -0.24381617 -0.81166829 -0.58460464 0.08897337 1.45123145], Predicted=[0.6523028 0.3476972] X=[-0.89452915 1.30733592 -1.10895244 1.22420116 -0.63043676 1.09917519 -0.05555308 0.37872765 -1.84300626 -0.52444731 0.06967355], Predicted=[0.87600513 0.12399487] X=[ 0.64615301 -1.37165388 -0.28255704 -1.0039189 -0.58466124 -0.60616535 -1.11453294 -0.45053694 2.26335691 -0.87497341 0.06967355], Predicted=[0.61026977 0.38973023] X=[-1.48709922 -0.0817699 0.29591974 -1.08279041 -0.9508654 -1.4294332 -2.10291414 -1.86496808 0.67379698 -1.40076257 2.10137634], Predicted=[0.45442608 0.54557392] X=[ 0.527639 -0.87554465 2.85774549 -0.96448315 0.1935226 -0.25333627 0.41510463 0.19147436 0.87249197 1.31581474 -0.90554379], Predicted=[0.93864011 0.06135989] X=[ 1.35723709 1.50577961 0.54383836 1.18476541 5.59503395 -0.37094597 1.21522275 1.69618834 -0.78329963 1.31581474 -1.06808001], Predicted=[0.9958187 0.0041813] X=[-0.53898711 -0.67710097 -1.0263129 -0.25463959 2.34497203 -0.84138474 -0.78507254 -0.04259226 -0.78329963 -0.26155273 -0.74300757], Predicted=[0.96598587 0.03401413] X=[ 2.06832116 -0.9747665 0.54383836 -1.04335466 -0.2642326 -0.90018958 -0.73800677 -0.57760167 -1.64431127 -1.48839409 -0.2553989 ], Predicted=[0.89747191 0.10252809] X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903] X=[-0.4204731 0.51356116 -0.11727796 -1.06307253 -0.21845708 0.2171025 -0.43207925 -1.33330247 -0.8495313 -1.05023647 1.36996334], Predicted=[0.78445265 0.21554735] X=[-0.77601514 -0.77632281 -0.36519658 1.06645815 -0.4931102 -0.84138474 -1.06746717 -0.12953129 -0.05475133 -1.31313104 1.126159 ], Predicted=[0.49340311 0.50659689] X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205] X=[-0.89452915 0.01745194 -0.86103382 -0.43210048 -0.35578364 -1.31182351 -1.0204014 -1.68774621 -1.44561627 1.84160389 2.10137634], Predicted=[0.345904 0.654096] X=[-0.30195909 -0.37943543 -0.94367336 1.16504753 0.23929812 -0.01811689 0.17977578 0.91373707 -0.58460464 1.57870931 -0.90554379], Predicted=[0.85825474 0.14174526] X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351 -1.86758528 -1.43027293 0.74002864 3.06844526 1.126159 ], Predicted=[0.32792634 0.67207366] X=[-0.18344508 -0.18099175 1.28759423 0.33689671 0.28507364 0.74634612 1.37995295 0.51916762 0.01148034 -0.08628968 -0.82427568], Predicted=[0.93033424 0.06966576] X=[-0.30195909 -0.67710097 2.19662917 -1.04335466 4.08444179 1.51080912 0.13271 -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=[0.98682473 0.01317527] X=[-0.53898711 -0.28021359 -0.11727796 -0.17576808 0.14774708 0.33471219 0.88576235 0.32522671 0.01148034 1.66634084 -1.06808001], Predicted=[0.9249731 0.0750269] X=[ 1.4757511 0.01745194 0.46119882 -0.88561164 -0.76776332 -1.01779928 -1.39692757 -0.57760167 0.27640699 0.26423642 1.04489089], Predicted=[0.65666267 0.34333733] X=[-0.65750113 0.61278301 -1.19159198 -0.11661445 -0.21845708 -0.78257989 0.15624289 0.09116009 -0.25344632 1.22818321 -0.49920323], Predicted=[0.91656727 0.08343273] X=[-1.13155718 0.91044854 -0.28255704 -0.96448315 -0.58466124 -0.01811689 -1.0204014 -1.39349103 1.13741862 0.61476253 1.20742712], Predicted=[0.53704213 0.46295787] X=[ 0.29061097 0.01745194 -0.1999175 -0.96448315 0.33084916 -0.90018958 -0.94980274 -1.1159549 -0.25344632 0.08897337 0.71981845], Predicted=[0.74775544 0.25224456] X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473 6.32744226 -0.01811689 0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=[0.99441403 0.00558597] X=[-1.25007119 -0.18099175 -0.36519658 -1.06307253 -0.17268156 -0.01811689 -0.87920408 -1.19955012 1.13741862 -0.08628968 0.71981845], Predicted=[0.66258594 0.33741406] X=[ 0.17209696 2.00188883 -1.77006876 -0.37294685 0.1935226 -0.72377504 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=[0.98820006 0.01179994] X=[-0.65750113 -0.57787912 -0.44783612 -0.78702226 -0.17268156 0.15829765 -0.8556712 -1.35336532 -0.31967798 -1.05023647 0.88235467], Predicted=[0.61927725 0.38072275] X=[-1.13155718 0.21589563 -0.28255704 -0.86589377 -0.7219878 0.15829765 0.08564423 -1.70780906 1.46857694 -0.69971036 1.93884012], Predicted=[0.30872599 0.69127401] X=[-0.18344508 0.51356116 0.70911744 0.00169281 0.55972676 -0.48855566 0.29744021 0.45897907 -0.18721466 -0.43681578 -0.74300757], Predicted=[0.97083961 0.02916039] X=[-0.30195909 -1.07398834 0.13064066 -0.74758651 -0.7219878 -0.13572658 -1.42046046 -0.85848162 0.21017533 2.01686694 0.63855033], Predicted=[0.4649942 0.5350058] X=[-0.06493106 0.21589563 -0.53047566 1.02702239 -0.81353884 -0.78257989 -0.97333563 -0.29672173 -1.51184794 -0.96260494 0.96362278], Predicted=[0.58748588 0.41251412] X=[-0.30195909 0.01745194 -0.28255704 0.27774308 0.14774708 1.27558973 1.49761738 0.59273142 0.34263866 -0.87497341 -0.82427568], Predicted=[0.93252673 0.06747327] X=[ 0.64615301 -0.28021359 0.29591974 0.10028219 -1.179743 -1.25301866 -1.06746717 -0.04259226 -1.24692128 -0.08628968 0.15094166], Predicted=[0.80653743 0.19346257] X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967] X=[-0.30195909 -0.9747665 -0.44783612 -0.60956137 -0.08113052 -1.01779928 -1.11453294 -0.34353506 1.53480861 1.31581474 0.23220977], Predicted=[0.64639397 0.35360603] X=[ 0.527639 1.50577961 0.29591974 -0.35322897 -0.81353884 -1.07660412 -0.57327657 -1.01229682 0.27640699 -0.52444731 2.18264446], Predicted=[0.52484367 0.47515633] X=[ 0.64615301 -0.9747665 0.04800112 -0.72786863 -0.7219878 -0.31214112 -0.73800677 -0.67791594 -1.44561627 0.35186795 0.394746 ], Predicted=[0.74560588 0.25439412] X=[-6.57501128e-01 2.15895632e-01 4.75845492e+00 3.56614587e-01 -5.38885719e-01 8.63955809e-01 1.42701872e+00 -2.92170247e-02 1.33611362e+00 1.34184656e-03 9.63622781e-01], Predicted=[0.71661208 0.28338792] X=[ 0.34986798 -1.07398834 -0.77839428 0.63266486 3.35203347 1.21678489 0.93282812 0.5860438 -0.25344632 -0.43681578 -0.2553989 ], Predicted=[0.92270614 0.07729386] X=[ 0.40912499 -0.0817699 0.70911744 -0.94476527 0.1935226 -0.01811689 -0.07908597 -0.67791594 -1.64431127 -0.26155273 0.394746 ], Predicted=[0.91760494 0.08239506] X=[ 0.64615301 -0.77632281 -0.1999175 -0.94476527 -0.35578364 -0.07692173 -0.5262108 -0.94542065 0.40887032 -0.87497341 1.20742712], Predicted=[0.5707499 0.4292501] X=[ 1.94980715 -1.07398834 -0.1999175 -1.06307253 -0.99664092 -1.31182351 -1.11453294 -0.34353506 -2.63778623 -1.05023647 -0.33666701], Predicted=[0.93193818 0.06806182] X=[ 5.27638999e-01 8.11226697e-01 1.70079193e+00 1.36222630e+00 3.76624679e-01 1.62841881e+00 1.28582141e+00 1.54237313e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.97149551 0.02850449] X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474 -0.35578364 0.33471219 0.27390732 -0.24322079 1.99843026 1.92923542 -0.01159456], Predicted=[0.71592271 0.28407729] X=[ 1.12020906 -0.67710097 1.28759423 -0.99405996 0.28507364 -1.72345743 -2.12644703 -0.97885873 -0.25344632 -1.8389202 0.71981845], Predicted=[0.80772385 0.19227615] X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524] X=[ 2.06832116 -0.47865728 -0.69575474 0.96786876 -0.67621228 -1.31182351 -0.99686851 0.81007899 -0.51837298 -0.78734189 0.23220977], Predicted=[0.71941741 0.28058259] X=[ 0.05358295 0.01745194 -0.44783612 1.14532965 -0.17268156 0.9815655 0.01504558 0.39879051 -1.04822629 0.61476253 -0.09286267], Predicted=[0.7140869 0.2859131] X=[-0.06493106 -0.57787912 -0.11727796 -0.09689658 0.37662468 0.27590734 0.32097309 -0.07603035 0.077712 0.70239405 0.23220977], Predicted=[0.78443483 0.21556517] X=[ 0.05358295 -0.57787912 -0.1999175 -0.01802507 -0.76776332 0.33471219 -0.17321751 -0.25659603 -0.71706797 0.00134185 0.23220977], Predicted=[0.71730422 0.28269578] X=[-0.89452915 0.41433932 -0.77839428 -0.96448315 -0.44733468 0.15829765 -0.33794771 -1.41355388 0.67379698 -0.61207884 1.53249956], Predicted=[0.55621719 0.44378281] X=[ 0.05358295 -0.47865728 0.6264779 0.31717883 -0.7219878 -0.31214112 -0.57327657 -0.11615605 0.21017533 0.43949948 0.394746 ], Predicted=[0.60068449 0.39931551] X=[ 0.05358295 -0.37943543 0.04800112 -0.3335111 -0.2642326 0.45232188 0.53276906 -0.17634461 0.077712 0.87765711 0.06967355], Predicted=[0.77832297 0.22167703] X=[ 1.4757511 1.80344514 -0.1999175 -0.9250474 0.28507364 0.86395581 1.05049255 -0.57760167 -1.04822629 -0.61207884 0.55728222], Predicted=[0.92295527 0.07704473] X=[-0.65750113 1.10889223 0.13064066 -0.09689658 -0.2642326 2.77511332 2.86252475 0.02428392 -0.45214131 1.49107779 -0.33666701], Predicted=[0.89107495 0.10892505] X=[-1.72412724 2.49799805 -1.4395106 -0.72786863 -0.44733468 -0.07692173 -0.24381617 -1.82818618 0.077712 0.35186795 2.18264446], Predicted=[0.54998824 0.45001176] X=[-0.77601514 0.11667379 -0.36519658 -0.15605021 0.01042052 -0.01811689 0.93282812 -0.30006554 0.40887032 0.1766049 0.01549481], Predicted=[0.82852711 0.17147289] X=[-6.49310643e-02 -6.77100966e-01 2.36190825e+00 1.69280668e-03 -2.18457080e-01 -1.66465259e+00 -5.96809454e-01 -1.49594143e-01 -1.51184794e+00 8.77657106e-01 -2.55398896e-01], Predicted=[0.90198998 0.09801002] X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=[0.58017459 0.41982541] X=[-0.18344508 -1.66931941 0.04800112 0.47492185 -0.12690604 0.33471219 -0.59680945 0.72648377 1.53480861 -0.78734189 -0.9868119 ], Predicted=[0.79589592 0.20410408] X=[ 1.47575110e+00 -3.79435433e-01 -6.13115201e-01 9.08715133e-01 -1.26906040e-01 3.34712191e-01 1.70941335e+00 9.13737068e-01 -5.18372977e-01 1.34184656e-03 -4.17935119e-01], Predicted=[0.82891508 0.17108492] X=[ 1.4757511 -0.37943543 -0.03463842 0.75097212 0.10197156 0.62873642 0.06211135 1.06086466 -0.18721466 -0.08628968 -0.17413078], Predicted=[0.85208122 0.14791878] X=[-0.30195909 1.30733592 -0.1999175 -0.94476527 -0.17268156 -1.01779928 -0.87920408 -0.69463498 -0.38590965 -0.69971036 -0.01159456], Predicted=[0.94273109 0.05726891] X=[-0.65750113 3.88710387 1.20495468 1.22420116 0.28507364 1.27558973 1.96827509 1.29493128 -0.12098299 0.26423642 -0.9868119 ], Predicted=[0.98815362 0.01184638] X=[-0.53898711 0.21589563 0.2132802 -0.86589377 0.28507364 -1.01779928 0.06211135 -0.43381789 1.26988195 0.35186795 -0.01159456], Predicted=[0.88804886 0.11195114] X=[-0.77601514 0.21589563 -0.1999175 -0.94476527 -0.4931102 0.27590734 -0.76153965 -1.63424527 0.47510198 -0.87497341 1.93884012], Predicted=[0.43606778 0.56393222] X=[ 1.59426511 -0.67710097 -0.11727796 0.83970256 0.33084916 1.04037035 0.15624289 1.06086466 -0.12098299 -0.08628968 -0.2553989 ], Predicted=[0.81459987 0.18540013] X=[ 0.88318104 -0.77632281 2.85774549 1.28335479 -0.17268156 1.21678489 0.50923618 1.46546553 -0.91576296 -0.69971036 -1.47442057], Predicted=[0.94696864 0.05303136] X=[ 1.4757511 -1.57009756 0.37855928 -1.08279041 -0.53888572 0.04068796 -1.23219737 -1.25973868 -2.57155456 0.527131 1.20742712], Predicted=[0.55610858 0.44389142] X=[-0.30195909 -0.28021359 0.46119882 -0.97434209 -0.2642326 0.27590734 -1.16159871 -0.97885873 1.07118696 -0.78734189 0.71981845], Predicted=[0.66533036 0.33466964] X=[-0.18344508 -0.37943543 0.29591974 0.96786876 -0.12690604 1.68722366 0.81516369 0.76660948 -0.71706797 0.35186795 -0.49920323], Predicted=[0.8490243 0.1509757] X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=[0.54483733 0.45516267] X=[-6.57501128e-01 -1.76854125e+00 -7.78394281e-01 -7.71787000e-02 -3.10008120e-01 -6.06165351e-01 -7.38006768e-01 3.62008609e-01 2.66074690e+00 1.34184656e-03 -1.15945603e-02], Predicted=[0.64609963 0.35390037] X=[ 1.12020906 0.41433932 -0.1999175 -0.9250474 -0.44733468 0.62873642 1.33288718 -0.34353506 -1.04822629 -0.08628968 -0.01159456], Predicted=[0.91043864 0.08956136] X=[-1.96115527 1.60500145 -2.43118509 -0.98420103 -0.44733468 0.45232188 -0.45561214 -1.54730624 1.13741862 -1.40076257 1.28869523], Predicted=[0.67737616 0.32262384] X=[-0.30195909 0.41433932 -0.77839428 -1.0039189 0.6512778 0.42291946 1.54468315 0.36535242 2.6607469 0.1766049 -1.06808001], Predicted=[0.95766655 0.04233345] X=[-0.53898711 1.00967039 -0.77839428 0.15943582 0.05619604 0.33471219 0.29744021 0.67298283 -0.51837298 0.96528863 -1.06808001], Predicted=[0.96711943 0.03288057] X=[-1.13155718 3.7382711 -2.76174325 -0.15605021 -0.58466124 -1.60584774 -2.52650609 -0.14290653 0.87249197 0.1766049 -0.01159456], Predicted=[0.93840466 0.06159534] X=[ 0.76466702 0.01745194 3.68414089 1.12561178 -0.21845708 1.04037035 0.53276906 1.4554341 -1.37938461 -0.43681578 -1.47442057], Predicted=[0.97515187 0.02484813] X=[ 0.05358295 2.79566358 -0.6131152 0.88899726 0.6512778 1.15798004 1.28582141 0.96055039 0.14394366 -0.43681578 -0.90554379], Predicted=[0.97177599 0.02822401] X=[ 1.4757511 0.21589563 1.28759423 1.16504753 0.14774708 0.86395581 0.13271 1.02742657 -0.6508363 0.70239405 -0.2553989 ], Predicted=[0.83106875 0.16893125] X=[-1.01304317 1.00967039 -0.6131152 -0.57012562 -0.4931102 0.15829765 -0.64387523 -1.77468524 -0.05475133 -0.17392121 2.5077169 ], Predicted=[0.33343639 0.66656361] X=[ 1.23872307 0.31511748 -0.94367336 1.3622263 0.10197156 0.62873642 1.73294624 1.80319022 1.86596693 0.87765711 -0.41793512], Predicted=[0.81433604 0.18566396] X=[ 1.23872307 -0.67710097 0.54383836 -1.02363678 -0.31000812 0.15829765 -0.73800677 -0.67791594 0.14394366 0.43949948 0.23220977], Predicted=[0.68753014 0.31246986] X=[-0.18344508 -1.07398834 -0.53047566 -0.98420103 -0.63043676 0.2171025 0.25037443 -0.49735026 1.40234528 0.26423642 -0.01159456], Predicted=[0.69349265 0.30650735] X=[-0.30195909 6.21881721 -1.19159198 -1.10250829 0.10197156 -1.07660412 1.54468315 -0.2097827 1.0049553 0.61476253 -0.41793512], Predicted=[0.99367734 0.00632266] X=[-0.06493106 -0.18099175 -0.94367336 -0.31379322 -0.21845708 4.39224659 1.40348584 0.11456676 0.67379698 1.57870931 0.06967355], Predicted=[0.64345467 0.35654533] X=[-0.53898711 -0.57787912 0.04800112 -0.98420103 -1.04241644 1.21678489 -0.54974368 -1.48711768 -0.05475133 1.84160389 0.96362278], Predicted=[0.31162157 0.68837843] X=[ 4.55711543 -0.57787912 1.86607101 0.35661459 -0.08113052 0.09949281 1.00342678 1.32836936 -2.10793291 1.66634084 -0.82427568], Predicted=[0.91348242 0.08651758] X=[-0.18344508 0.71200485 1.20495468 0.47492185 0.46817572 -0.01811689 0.67396638 0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=[0.97713358 0.02286642] X=[-0.77601514 0.41433932 -0.77839428 -0.45181836 0.23929812 -0.07692173 0.25037443 -0.3234722 1.13741862 0.26423642 0.394746 ], Predicted=[0.82290527 0.17709473] X=[-0.06493106 0.41433932 -0.86103382 -0.60956137 -0.90508988 -0.25333627 -0.92626985 -1.48043006 -0.58460464 -0.78734189 1.53249956], Predicted=[0.45555809 0.54444191] X=[-0.65750113 -0.0817699 0.37855928 -1.08279041 0.23929812 -1.66465259 0.03857846 -0.47728741 1.7335036 0.08897337 -0.01159456], Predicted=[0.89907477 0.10092523] X=[-0.65750113 0.51356116 -1.10895244 -0.11661445 -0.2642326 -0.6649702 0.13271 0.07444105 -0.25344632 1.22818321 -0.49920323], Predicted=[0.90902795 0.09097205] X=[-0.65750113 0.21589563 -0.44783612 -0.27435747 -0.17268156 0.04068796 0.69749926 0.34194576 0.21017533 1.75397237 -0.82427568], Predicted=[0.93044913 0.06955087] X=[-1.01304317 -0.47865728 0.04800112 -1.0039189 -0.9508654 -0.72377504 -0.64387523 -1.47708625 1.13741862 -1.05023647 1.7763039 ], Predicted=[0.43906232 0.56093768] X=[-0.89452915 -0.0817699 -0.44783612 0.67210061 -0.17268156 1.51080912 -0.31441482 0.43222859 -0.31967798 -0.61207884 -0.2553989 ], Predicted=[0.8566765 0.1433235] X=[-0.4204731 -0.18099175 0.04800112 -0.98420103 -0.2642326 -0.60616535 1.07402544 -0.624415 0.67379698 -0.26155273 0.15094166], Predicted=[0.86573934 0.13426066] X=[-0.06493106 0.11667379 -1.4395106 -0.98420103 -0.35578364 5.12730717 2.26243617 -0.61103976 -0.25344632 -0.17392121 -0.41793512], Predicted=[0.77747105 0.22252895] X=[ 0.05358295 -0.18099175 1.28759423 -0.94476527 0.55972676 0.2171025 0.65043349 0.82679804 3.05813688 0.26423642 -0.90554379], Predicted=[0.96468075 0.03531925] X=[-0.06493106 1.20811407 -0.36519658 -0.70815075 -0.08113052 -0.48855566 -0.97333563 -1.21292535 -0.45214131 -0.61207884 0.55728222], Predicted=[0.78557873 0.21442127] X=[ 0.40912499 -0.67710097 0.04800112 -1.04335466 0.01042052 -0.60616535 -1.37339468 -0.67791594 0.40887032 -0.78734189 0.63855033], Predicted=[0.78891088 0.21108912] X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518] X=[-0.18344508 0.91044854 0.6264779 -0.01802507 0.69705332 -0.78257989 0.25037443 0.42554098 -0.18721466 -0.17392121 -0.74300757], Predicted=[0.97491918 0.02508082] X=[ 0.29061097 -0.18099175 -1.19159198 0.35661459 0.23929812 1.04037035 1.14462409 0.6596076 -0.18721466 0.26423642 -0.66173945], Predicted=[0.89694406 0.10305594] X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.35578364 0.15829765 0.67396638 -0.04259226 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93232847 0.06767153] X=[ 0.76466702 -0.9747665 3.18830365 0.63266486 -0.31000812 1.04037035 0.29744021 1.33505698 -1.04822629 -0.26155273 -1.31188435], Predicted=[0.96613959 0.03386041] X=[-0.65750113 0.61278301 -0.1999175 -0.0771787 -1.179743 -1.01779928 -1.65578931 -1.41021007 0.21017533 -1.75128867 2.34518068], Predicted=[0.32004798 0.67995202] X=[-0.77601514 0.21589563 -0.6131152 1.38194417 0.01042052 1.27558973 1.59174892 1.24477414 -0.12098299 -0.52444731 -0.82427568], Predicted=[0.9281393 0.0718607] X=[-1.25007119 -0.47865728 -0.53047566 -0.90532952 -0.12690604 -0.6649702 -1.63225643 -0.24322079 1.26988195 -1.57602562 -0.90554379], Predicted=[0.94122857 0.05877143] X=[-1.13155718 -0.9747665 -0.44783612 -0.25463959 -0.31000812 0.86395581 0.01504558 -0.79494925 -0.18721466 -0.43681578 0.63855033], Predicted=[0.61672108 0.38327892] X=[ 0.29061097 -0.37943543 0.6264779 2.24953075 0.01042052 0.2171025 0.15624289 1.93025495 0.87249197 -0.87497341 -1.47442057], Predicted=[0.88266272 0.11733728] X=[-1.3685852 -0.57787912 -0.03463842 -0.88561164 -0.44733468 0.09949281 -0.66740811 -1.53058719 0.47510198 0.79002558 1.53249956], Predicted=[0.39180004 0.60819996] X=[-0.65750113 0.11667379 -0.44783612 -0.3335111 0.60550228 -0.42975081 -1.3498618 -1.22630059 0.34263866 0.61476253 1.7763039 ], Predicted=[0.43168918 0.56831082] X=[-0.30195909 0.61278301 -1.10895244 -1.06307253 0.33084916 -0.5473605 -0.62034234 -0.22315794 0.87249197 0.527131 -1.14934812], Predicted=[0.95063816 0.04936184] X=[-0.89452915 3.19255096 -1.77006876 -0.90532952 0.1935226 -1.4294332 -1.46752623 -0.45053694 1.53480861 -0.08628968 -0.09286267], Predicted=[0.95742847 0.04257153] X=[-0.06493106 -0.47865728 0.46119882 1.91432684 0.33084916 2.09885758 1.30935429 1.59587407 -0.05475133 1.31581474 -0.2553989 ], Predicted=[0.78124894 0.21875106] X=[-0.18344508 3.78788202 -2.76174325 1.30307267 -0.58466124 -0.19453143 -1.49105911 0.49576096 -0.25344632 0.08897337 0.15094166], Predicted=[0.86108609 0.13891391] X=[-0.77601514 -0.9747665 -0.28255704 -1.06307253 -0.67621228 -0.72377504 -1.53812488 -1.23967582 0.27640699 0.26423642 0.63855033], Predicted=[0.58790402 0.41209598] X=[-0.18344508 -1.27243203 0.37855928 -0.9250474 -0.40155916 -0.90018958 -1.27926314 -1.1928625 -0.6508363 0.35186795 0.71981845], Predicted=[0.62055558 0.37944442] X=[-0.18344508 0.31511748 -0.28255704 -0.78702226 -0.35578364 -0.31214112 -1.30279603 -1.79140428 -0.6508363 -1.13786799 1.85757201], Predicted=[0.45293352 0.54706648] X=[-0.18344508 1.30733592 0.04800112 0.55379335 0.14774708 -0.37094597 0.27390732 0.9271123 0.21017533 0.1766049 -1.14934812], Predicted=[0.96862892 0.03137108] X=[-0.53898711 0.11667379 -0.28255704 -0.68843288 -0.44733468 -0.60616535 -1.39692757 -1.22295678 0.67379698 0.96528863 1.53249956], Predicted=[0.41598082 0.58401918] X=[-0.53898711 -0.28021359 1.61815239 0.04112856 -0.35578364 1.39319943 2.25066972 0.49241715 -1.04822629 -0.61207884 -1.39315246], Predicted=[0.97244845 0.02755155] X=[ 0.17209696 0.31511748 -0.36519658 -0.98420103 -0.40155916 -0.13572658 -0.24381617 -1.48043006 -0.45214131 -1.13786799 1.36996334], Predicted=[0.62323887 0.37676113] X=[-0.89452915 -0.57787912 0.54383836 -0.89547058 -0.67621228 -0.60616535 -0.64387523 -1.46036721 -1.04822629 -1.66365715 1.04489089], Predicted=[0.74181969 0.25818031] X=[-0.65750113 1.30733592 -0.28255704 -0.62927925 -0.7219878 0.80515096 0.60336772 -0.44384932 2.26335691 2.63028763 0.96362278], Predicted=[0.54666597 0.45333403] X=[-0.53898711 -0.37943543 -0.69575474 2.72275979 1.70411476 -0.01811689 0.43863752 1.91687972 -0.12098299 0.08897337 -1.14934812], Predicted=[0.91023085 0.08976915] X=[-0.18344508 -0.77632281 -0.28255704 -0.98420103 -0.9508654 -1.07660412 -1.46752623 -0.99892159 -0.51837298 -0.43681578 0.394746 ], Predicted=[0.74193238 0.25806762] X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=[0.55496824 0.44503176] X=[-0.77601514 0.91044854 -0.28255704 0.04112856 13.74307649 2.56929635 1.45055161 0.45897907 0.67379698 0.79002558 -0.74300757], Predicted=[9.99229249e-01 7.70750972e-04] X=[-0.89452915 -0.37943543 -0.6131152 -0.9250474 -0.58466124 1.51080912 -0.10261885 -1.24636344 0.01148034 2.80555068 1.126159 ], Predicted=[0.36704755 0.63295245] X=[ 1.12020906 -0.18099175 -0.53047566 -0.88561164 0.23929812 0.9815655 1.33288718 -0.41041123 0.27640699 0.08897337 0.31347789], Predicted=[0.79177746 0.20822254] X=[ 0.76466702 0.61278301 0.13064066 -0.0771787 -0.53888572 -1.37062835 -0.29088194 -0.54416359 -0.18721466 -0.87497341 1.20742712], Predicted=[0.69526034 0.30473966] X=[-1.48709922 0.01745194 0.54383836 -0.05746082 -0.53888572 0.04068796 -0.47914502 -0.86516923 0.14394366 -0.52444731 1.28869523], Predicted=[0.61018481 0.38981519] X=[ 0.40912499 -0.47865728 -0.11727796 0.41576822 0.55972676 0.68754127 1.12109121 0.52585524 0.01148034 -0.78734189 -0.49920323], Predicted=[0.89465012 0.10534988] X=[ 1.35723709e+00 8.11226697e-01 4.61198823e-01 -9.44765273e-01 -9.96640918e-01 -5.47360505e-01 -1.06746717e+00 -9.58795882e-01 -2.53446321e-01 1.34184656e-03 1.12615900e+00], Predicted=[0.6495948 0.3504052] X=[ 0.88318104 0.66239393 -0.6131152 -0.88561164 -0.12690604 -1.19421382 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=[0.96845912 0.03154088] X=[ 1.23872307 -0.87554465 -0.6131152 -0.84617589 -0.31000812 -1.60584774 0.10917712 0.05772201 -0.91576296 2.19213 -0.58047134], Predicted=[0.90055328 0.09944672] X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034] X=[-2.19818329 0.51356116 -1.4395106 -0.96448315 0.14774708 -1.48823805 -0.97333563 -0.7782302 1.93219859 -0.43681578 0.15094166], Predicted=[0.88427548 0.11572452] X=[ 0.76466702 -1.37165388 0.04800112 -1.0039189 0.4224002 0.86395581 0.34450598 0.15803627 0.67379698 2.71791915 -0.74300757], Predicted=[0.84044708 0.15955292] X=[-0.65750113 0.61278301 0.2132802 -0.29407534 -0.4931102 -0.25333627 1.09755832 0.19147436 -0.25344632 0.00134185 -0.66173945], Predicted=[0.95951693 0.04048307] X=[-0.53898711 0.51356116 -0.77839428 -0.94476527 0.37662468 -0.60616535 -0.50267791 0.09116009 1.13741862 0.08897337 -0.9868119 ], Predicted=[0.96616582 0.03383418] X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=[0.78331015 0.21668985] X=[-0.06493106 0.01745194 0.79175698 0.23830733 -0.7219878 -0.31214112 -0.66740811 -0.79829306 -0.71706797 0.87765711 1.61376767], Predicted=[0.39514066 0.60485934] X=[-0.4204731 1.10889223 0.13064066 -0.94476527 0.14774708 -1.48823805 0.60336772 0.37872765 1.07118696 0.1766049 -0.66173945], Predicted=[0.98443271 0.01556729] X=[-0.89452915 0.61278301 1.0396756 -0.3335111 -0.76776332 -0.84138474 -1.04393428 -1.01229682 0.67379698 1.14055168 1.45123145], Predicted=[0.49407871 0.50592129] X=[-0.89452915 -0.57787912 -0.69575474 1.12561178 -0.4931102 1.09917519 -0.07908597 0.26169434 0.14394366 -0.78734189 0.15094166], Predicted=[0.60511985 0.39488015] X=[ 2.77940524e+00 -9.74766499e-01 1.28759423e+00 -9.64483150e-01 -2.18457080e-01 2.17102498e-01 -1.96750396e-01 1.58036270e-01 -9.81994625e-01 1.34184656e-03 -5.80471343e-01], Predicted=[0.91061226 0.08938774] X=[ 2.18683518 -0.57787912 0.70911744 -0.80674014 0.33084916 -0.48855566 -0.57327657 -0.00915417 -1.31315295 -0.52444731 -0.41793512], Predicted=[0.9368482 0.0631518] X=[ 0.17209696 -1.57009756 -0.44783612 -0.01802507 0.51395124 -1.07660412 -0.83213831 0.55929333 2.06466192 -0.43681578 -0.74300757], Predicted=[0.83573031 0.16426969] X=[-0.53898711 -0.28021359 -0.03463842 -0.9250474 -0.40155916 -0.01811689 -0.59680945 -0.79829306 0.27640699 1.49107779 0.06967355], Predicted=[0.73282568 0.26717432] X=[ 1.83129314 -0.0817699 1.0396756 0.45520397 0.10197156 0.2171025 1.37995295 1.12774083 -0.31967798 0.87765711 -0.74300757], Predicted=[0.92613445 0.07386555] X=[ 0.40912499 -0.67710097 -0.36519658 -0.64899712 -0.08113052 0.2171025 -0.38501348 -0.86851304 -1.24692128 0.96528863 0.63855033], Predicted=[0.66247737 0.33752263] X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909] X=[ 0.40912499 -1.07398834 0.04800112 0.00169281 -0.17268156 -1.13540897 -0.64387523 -0.41709885 -1.31315295 -0.78734189 0.23220977], Predicted=[0.7793141 0.2206859] X=[-1.83445077e-01 1.50577961e+00 -8.61033822e-01 -2.74357467e-01 5.09150323e+00 8.05150962e-01 1.56242891e-01 2.28256256e-01 -1.20982993e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.99295835 0.00704165] X=[-0.65750113 0.8112267 -0.28255704 -0.31379322 0.14774708 -1.25301866 -1.25573025 -0.27665888 0.60756531 -0.87497341 0.06967355], Predicted=[0.9092651 0.0907349] X=[ 0.29061097 -0.0817699 -0.44783612 -1.01377784 -1.04241644 -1.89987197 -1.16159871 -1.37008437 -1.5780796 -1.66365715 0.71981845], Predicted=[0.80015473 0.19984527] X=[-1.01304317 -1.37165388 0.29591974 -1.02363678 -0.63043676 1.62841881 0.22684155 -0.72807307 0.87249197 -0.43681578 0.55728222], Predicted=[0.67656713 0.32343287] X=[-1.60561323 -1.17321019 -0.6131152 -0.96448315 -0.63043676 -0.01811689 -0.90273697 -1.09254824 1.60104027 2.45502457 1.20742712], Predicted=[0.32688751 0.67311249] X=[ 1.4757511 -1.07398834 0.87439652 1.51996931 0.33084916 0.45232188 0.15624289 2.19775966 0.60756531 2.27976152 -1.39315246], Predicted=[0.8818556 0.1181444] X=[-0.18344508 0.61278301 -0.1999175 1.97348047 0.23929812 -0.90018958 0.17977578 1.44205886 -0.8495313 0.43949948 -1.14934812], Predicted=[0.93641374 0.06358626] X=[-0.53898711 -0.47865728 0.13064066 0.77069 -0.17268156 1.09917519 0.03857846 0.89367421 0.27640699 -0.17392121 -1.06808001], Predicted=[0.89825915 0.10174085] X=[ 1.00169505 -0.0817699 1.28759423 -0.51097199 -0.40155916 0.62873642 0.01504558 -0.95879588 -0.98199462 -0.96260494 0.88235467], Predicted=[0.6624942 0.3375058] X=[ 4.09124986e-01 1.20811407e+00 2.36190825e+00 8.69279380e-01 -2.18457080e-01 2.04005274e+00 1.19168986e+00 1.19461701e+00 -7.17067969e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.97157888 0.02842112] X=[ 0.76466702 -0.87554465 0.04800112 -0.74758651 -0.40155916 -0.13572658 -0.31441482 -0.57760167 -0.58460464 0.00134185 0.47601411], Predicted=[0.73881872 0.26118128] X=[ 1.23872307 -0.57787912 0.95703606 1.53968719 -0.35578364 1.04037035 0.06211135 1.72962642 -1.04822629 -0.26155273 -1.06808001], Predicted=[0.91905173 0.08094827] X=[-0.77601514 0.51356116 -1.60478968 -0.31379322 0.28507364 -0.48855566 -0.24381617 0.24163149 0.14394366 -0.08628968 -0.90554379], Predicted=[0.96121998 0.03878002] X=[ 0.64615301 0.21589563 -0.11727796 -0.9250474 -0.7219878 -0.72377504 -0.24381617 -0.37697314 -0.12098299 1.49107779 0.31347789], Predicted=[0.81995681 0.18004319] X=[-0.77601514 -0.28021359 0.46119882 -1.0039189 0.23929812 0.39351704 -0.07908597 -1.14604918 0.27640699 -0.78734189 0.47601411], Predicted=[0.78913467 0.21086533] X=[-0.89452915 0.91044854 -1.10895244 0.23830733 -0.67621228 0.80515096 0.74456503 0.51916762 0.21017533 -0.08628968 -0.82427568], Predicted=[0.93405734 0.06594266] X=[-0.65750113 -0.87554465 -0.11727796 -0.70815075 0.01042052 -1.01779928 -1.37339468 -1.20289393 -1.77677459 -0.17392121 0.43538005], Predicted=[0.79688829 0.20311171] X=[ 0.17209696 1.10889223 -1.0263129 0.8495615 2.39074755 -1.31182351 -1.11453294 0.8502047 -1.04822629 -0.17392121 -0.9868119 ], Predicted=[0.98267306 0.01732694] X=[-0.53898711 0.11667379 -1.27423152 1.6974302 -0.2642326 -0.84138474 -0.5262108 1.1143656 -0.31967798 0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571] X=[-1.48709922 -0.67710097 -0.77839428 -0.39266473 -0.85931436 0.09949281 0.27390732 -1.01229682 0.74002864 -1.57602562 0.80108656], Predicted=[0.57876015 0.42123985] X=[ 2.77940524 0.01745194 1.0396756 -0.62927925 0.55972676 0.2171025 -0.12615174 0.6596076 -0.31967798 0.79002558 -0.82427568], Predicted=[0.94875749 0.05124251] X=[-0.89452915 -0.57787912 -0.86103382 -0.64899712 0.28507364 -1.19421382 -0.80860543 0.25835054 -0.31967798 -0.61207884 -1.47442057], Predicted=[0.98159558 0.01840442] X=[-0.30195909 -0.57787912 -0.36519658 1.57912294 0.01042052 0.2171025 -0.47914502 1.44205886 -0.91576296 0.08897337 -1.14934812], Predicted=[0.92458937 0.07541063] X=[-0.77601514 0.21589563 -0.11727796 -1.0039189 0.37662468 -0.48855566 1.05049255 -0.45722456 0.74002864 -0.52444731 -0.33666701], Predicted=[0.94404388 0.05595612] X=[-0.06493106 0.61278301 -1.93534784 -0.98420103 0.14774708 -0.37094597 -0.47914502 -0.14290653 0.14394366 -0.69971036 -0.82427568], Predicted=[0.96114392 0.03885608] X=[-0.77601514 0.51356116 -1.19159198 -0.15605021 -0.17268156 -0.78257989 0.10917712 0.07444105 -0.25344632 1.22818321 -0.49920323], Predicted=[0.91971431 0.08028569] X=[ 0.40912499 1.80344514 2.60982687 0.79040787 0.1935226 2.39288182 1.26228852 1.19461701 -0.18721466 -0.61207884 -1.47442057], Predicted=[0.97944253 0.02055747] X=[ 1.00169505 1.80344514 -1.27423152 -0.60956137 0.37662468 -1.01779928 0.10917712 -0.03590464 -0.45214131 0.1766049 0.23220977], Predicted=[0.95068279 0.04931721] X=[ 1.12020906 -0.77632281 -0.44783612 0.75097212 0.37662468 2.51049151 1.12109121 0.99398848 -0.31967798 -0.26155273 -0.41793512], Predicted=[0.83073545 0.16926455] X=[ 0.40912499 0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566 -1.20866448 -1.24636344 0.74002864 0.87765711 1.69503579], Predicted=[0.36841396 0.63158604] X=[ 1.71277913 -1.17321019 1.20495468 -0.9250474 0.51395124 -0.25333627 -0.94980274 0.09116009 -0.25344632 -0.69971036 -0.17413078], Predicted=[0.92324412 0.07675588] X=[ 0.88318104 0.31511748 -0.77839428 -0.90532952 -0.40155916 0.2171025 0.27390732 -0.91198256 -0.91576296 -0.43681578 1.04489089], Predicted=[0.74516336 0.25483664] X=[-0.30195909 -0.9747665 -0.6131152 2.15094136 0.23929812 -1.07660412 0.25037443 1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=[0.90347848 0.09652152] X=[ 0.88318104 -1.07398834 0.95703606 0.94815089 0.37662468 1.21678489 -0.0320202 0.99398848 -0.25344632 -0.17392121 -0.41793512], Predicted=[0.83094141 0.16905859] X=[-0.06493106 0.51356116 0.87439652 0.12000007 0.1935226 -0.37094597 0.39157175 0.49241715 -0.31967798 -0.61207884 -0.82427568], Predicted=[0.96679399 0.03320601] X=[-8.94529153e-01 -1.80991745e-01 -6.95754741e-01 -6.88432877e-01 5.61960394e-02 1.49183141e+01 7.09844419e+00 -2.96721732e-01 1.66727194e+00 1.31581474e+00 -1.15945603e-02], Predicted=[0.26407739 0.73592261] X=[ 0.88318104 1.10889223 1.0396756 1.04674027 1.74989028 1.15798004 0.74456503 1.23808652 -1.84300626 0.1766049 -1.23061624], Predicted=[0.98455297 0.01544703] X=[-0.18344508 -0.47865728 -0.1999175 -0.84617589 0.01042052 -0.31214112 -0.99686851 -0.47728741 0.93872363 1.31581474 0.15094166], Predicted=[0.74332532 0.25667468] X=[-0.77601514 0.71200485 -1.10895244 2.30868438 1.06325748 -0.13572658 0.46217041 1.68950072 -0.25344632 0.08897337 -1.39315246], Predicted=[0.94754306 0.05245694] X=[-3.01959090e-01 -1.80991745e-01 -3.65196580e-01 -9.84201026e-01 -3.10008120e-01 -1.31182351e+00 -1.67932220e+00 -8.45106381e-01 -9.15762961e-01 1.34184656e-03 3.13477887e-01], Predicted=[0.87060421 0.12939579] X=[-1.13155718 0.71200485 1.12231514 -0.82645801 2.94005379 -1.25301866 -0.00848731 -0.27665888 -0.6508363 0.08897337 -1.14934812], Predicted=[0.99370996 0.00629004] X=[ 0.40912499 -0.0817699 0.29591974 -0.19548596 -0.90508988 -0.48855566 -0.57327657 -0.76485497 -0.38590965 3.06844526 1.7763039 ], Predicted=[0.29334642 0.70665358] X=[ 0.527639 0.31511748 2.94038503 0.75097212 -0.21845708 1.33439458 0.50923618 1.2280551 -0.8495313 -0.34918426 -1.55568868], Predicted=[0.97403358 0.02596642] X=[ 0.527639 2.29955436 -0.6131152 -0.60956137 2.02454339 -1.66465259 -0.07908597 0.12459818 -1.18068962 0.26423642 -1.39315246], Predicted=[0.99461675 0.00538325] X=[ 0.40912499 -0.0817699 -0.1999175 -1.02363678 -0.67621228 -0.48855566 -1.37339468 -1.70780906 -1.04822629 -1.40076257 1.7763039 ], Predicted=[0.50968389 0.49031611] X=[-0.18344508 0.31511748 -2.01798739 -0.98420103 -0.31000812 1.04037035 0.06211135 -0.65785309 -0.45214131 -0.43681578 -0.33666701], Predicted=[0.87828163 0.12171837] X=[-1.3685852 -0.77632281 -0.77839428 1.46081568 0.05619604 0.51112673 -0.62034234 1.45209029 -1.44561627 1.49107779 -1.39315246], Predicted=[0.94658072 0.05341928] X=[ 0.40912499 1.20811407 1.28759423 -1.04335466 0.10197156 -1.4294332 -0.00848731 -0.37697314 -1.18068962 -0.61207884 -0.9868119 ], Predicted=[0.98499268 0.01500732] X=[ 1.12020906 -0.0817699 0.13064066 -1.02363678 0.1935226 0.04068796 0.03857846 -0.88523209 -0.6508363 -0.34918426 0.55728222], Predicted=[0.79918523 0.20081477] X=[-0.77601514 0.21589563 -0.03463842 -0.57012562 -0.40155916 0.09949281 0.39157175 -1.39014722 -0.05475133 -1.05023647 1.53249956], Predicted=[0.56137709 0.43862291] X=[-0.30195909 -1.17321019 0.13064066 -0.90532952 -0.17268156 -0.5473605 -0.78507254 -1.47374244 0.01148034 2.27976152 1.53249956], Predicted=[0.28831634 0.71168366] X=[-0.30195909 -0.47865728 -0.11727796 -0.96448315 -0.21845708 -1.60584774 -1.56165777 -1.51721196 0.21017533 -0.87497341 1.7763039 ], Predicted=[0.51641826 0.48358174] X=[-1.48709922 -0.92515558 1.28759423 -1.04335466 -0.7219878 -0.42975081 -0.50267791 -0.74479212 2.39582024 -0.34918426 -0.17413078], Predicted=[0.74845962 0.25154038] X=[-0.30195909 -0.0817699 -0.36519658 -0.21520384 -0.035355 1.27558973 1.19168986 0.42554098 0.8062603 2.63028763 -0.58047134], Predicted=[0.84523946 0.15476054] X=[-3.01959090e-01 6.12783009e-01 -1.27423152e+00 1.69280668e-03 1.65833924e+00 6.87541270e-01 2.39186704e+00 1.02742657e+00 1.53480861e+00 -8.62896794e-02 -1.06808001e+00], Predicted=[0.97879011 0.02120989] X=[ 0.05358295 -0.28021359 1.12231514 0.39605034 -0.17268156 0.04068796 0.41510463 0.67298283 -0.25344632 0.527131 -0.90554379], Predicted=[0.92404566 0.07595434] X=[-1.72412724 -0.57787912 0.13064066 0.02141068 -0.76776332 -0.5473605 -1.20866448 -1.03904729 0.67379698 -0.43681578 1.61376767], Predicted=[0.37811062 0.62188938] X=[-0.4204731 -0.47865728 -1.10895244 0.21858945 0.1935226 0.51112673 0.95636101 0.33860195 -0.05475133 -0.08628968 -0.79718631], Predicted=[0.89618678 0.10381322] X=[-0.65750113 -0.28021359 -0.86103382 1.67771232 -0.31000812 0.68754127 0.08564423 1.01070752 -0.31967798 -1.22549952 -0.66173945], Predicted=[0.8390779 0.1609221] X=[ 1.23872307 0.91044854 -0.28255704 -0.72786863 -0.76776332 1.68722366 0.46217041 -0.81166829 -0.45214131 0.87765711 1.20742712], Predicted=[0.54753461 0.45246539] X=[ 0.88318104 0.11667379 1.28759423 0.63266486 -0.7219878 0.56993158 1.37995295 -0.07603035 -0.38590965 -0.96260494 1.45123145], Predicted=[0.56925029 0.43074971] X=[-0.4204731 -0.28021359 -0.53047566 1.73686595 0.14774708 2.33407697 1.85061067 1.06086466 0.01148034 -0.87497341 -0.49920323], Predicted=[0.78579369 0.21420631] X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479] X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352] X=[ 0.64615301 -1.47087572 0.46119882 -0.3335111 -0.17268156 0.04068796 -0.0320202 0.32522671 1.13741862 0.61476253 -0.17413078], Predicted=[0.76368753 0.23631247] X=[-0.18344508 -0.0817699 2.94038503 -1.02363678 5.96123811 0.04068796 -0.76153965 -0.38366076 -1.51184794 -0.52444731 -1.06808001], Predicted=[0.99734027 0.00265973] X=[-1.01304317 -0.87554465 3.10566411 -0.96448315 4.86262563 -1.54704289 -1.96171683 -0.44384932 -0.45214131 -0.26155273 -0.58047134], Predicted=[0.99270559 0.00729441] X=[ 4.09124986e-01 1.90266698e+00 -1.43951060e+00 -9.68965766e-02 1.01971559e-01 -1.25301866e+00 -3.14414825e-01 8.44724758e-02 -6.50836305e-01 1.34184656e-03 -5.80471343e-01], Predicted=[0.95670467 0.04329533] X=[-0.53898711 1.60500145 0.87439652 1.57912294 0.10197156 -0.37094597 2.10947241 1.84665973 0.47510198 0.43949948 -1.39315246], Predicted=[0.98119475 0.01880525] X=[ 0.05358295 0.8112267 0.13064066 0.43548609 -0.35578364 0.09949281 -0.31441482 -0.81166829 -1.24692128 -1.48839409 1.53249956], Predicted=[0.60181419 0.39818581] X=[ 0.29061097 0.01745194 -1.19159198 0.27774308 -0.2642326 0.74634612 1.07402544 0.58938761 -0.18721466 0.08897337 -0.90554379], Predicted=[0.90342853 0.09657147] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[ 0.527639 -0.57787912 -0.6131152 -0.96448315 -0.2642326 -0.19453143 0.79163081 -0.69797879 0.54133365 -0.08628968 0.55728222], Predicted=[0.71116482 0.28883518] X=[-0.77601514 -0.0817699 0.79175698 0.27774308 0.46817572 0.74634612 2.48599858 0.52585524 -0.58460464 0.1766049 -1.23061624], Predicted=[0.96683326 0.03316674] X=[-0.30195909 0.41433932 0.04800112 0.2580252 -0.08113052 1.62841881 1.73294624 0.41216574 0.21017533 -0.08628968 -0.66173945], Predicted=[0.90440512 0.09559488] X=[-0.30195909 -0.28021359 -0.36519658 -1.04335466 1.01748196 0.2171025 -0.33794771 -0.87854447 1.0049553 0.79002558 0.394746 ], Predicted=[0.75251152 0.24748848] X=[-0.53898711 -1.17321019 -0.69575474 -0.98420103 0.51395124 -0.84138474 -0.31441482 -1.0423911 0.27640699 -0.43681578 0.47601411], Predicted=[0.75108687 0.24891313] X=[ 1.4757511 0.21589563 1.28759423 0.33689671 -0.40155916 -0.5473605 0.83869658 0.09116009 -0.58460464 -1.66365715 0.55728222], Predicted=[0.82771507 0.17228493] X=[-0.06493106 -0.9747665 0.29591974 -0.94476527 0.4224002 0.68754127 0.36803886 -0.2097827 -0.71706797 -0.34918426 -1.14934812], Predicted=[0.95531809 0.04468191] X=[-0.89452915 -0.23060267 0.87439652 1.16504753 -0.035355 1.04037035 1.37995295 0.89367421 0.34263866 0.43949948 -0.82427568], Predicted=[0.87099177 0.12900823] X=[ 0.05358295 1.00967039 0.37855928 1.32279054 3.03160483 -1.25301866 -1.04393428 1.30161889 -1.11445795 -0.08628968 -1.06808001], Predicted=[0.98974527 0.01025473] X=[ 0.64615301 -0.37943543 -0.36519658 0.73125424 0.1935226 -0.84138474 -0.78507254 0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=[0.91582778 0.08417222] X=[-0.06493106 -0.87554465 2.03135009 1.53968719 -0.35578364 0.92276066 0.60336772 1.16117892 -0.45214131 -0.08628968 -0.74300757], Predicted=[0.84764816 0.15235184] X=[ 1.23872307 0.71200485 0.2132802 -0.94476527 -0.35578364 -1.4294332 -0.33794771 -0.41041123 0.40887032 -0.08628968 0.394746 ], Predicted=[0.86703461 0.13296539] X=[-0.30195909 0.01745194 0.6264779 0.12000007 0.01042052 1.39319943 1.30935429 0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.94549963 0.05450037] X=[ 0.40912499 -0.67710097 0.29591974 -0.94476527 0.14774708 -0.72377504 -1.04393428 -0.54416359 -0.18721466 -0.08628968 0.31347789], Predicted=[0.84944407 0.15055593] X=[-6.57501128e-01 7.12004853e-01 -6.13115201e-01 2.21009499e+00 6.97053318e-01 1.39319943e+00 1.40348584e+00 1.72293881e+00 -5.18372977e-01 1.34184656e-03 -1.39315246e+00], Predicted=[0.9463479 0.0536521] X=[ 2.18683518 0.21589563 2.11398963 -0.9250474 0.01042052 -1.48823805 -1.60872354 -0.09943701 -0.8495313 0.61476253 0.23220977], Predicted=[0.9215899 0.0784101] X=[-0.4204731 1.80344514 -0.1999175 -0.27435747 -0.85931436 -1.19421382 -1.56165777 -0.79494925 0.47510198 0.96528863 0.80108656], Predicted=[0.67536998 0.32463002] X=[-0.30195909 0.61278301 -0.69575474 -0.31379322 -0.35578364 -1.13540897 -0.40854637 -0.68460356 1.13741862 1.92923542 1.69503579], Predicted=[0.44770237 0.55229763] X=[-1.01304317 0.01745194 1.53551285 -0.03774295 -0.81353884 0.09949281 -0.80860543 -0.80832448 0.60756531 0.1766049 1.04489089], Predicted=[0.50692143 0.49307857] X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613] X=[ 1.4757511 -1.07398834 -1.0263129 -0.94476527 -0.44733468 -0.6649702 -0.45561214 -0.02252941 -0.05475133 0.26423642 -0.33666701], Predicted=[0.84874462 0.15125538] X=[ 0.05358295 1.20811407 1.86607101 0.94815089 -0.12690604 0.27590734 0.08564423 1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.97353664 0.02646336] X=[ 0.05358295 -0.9747665 -0.03463842 -1.06307253 0.37662468 -0.6649702 0.60336772 -0.47728741 1.53480861 0.1766049 -0.01159456], Predicted=[0.8115277 0.1884723] X=[ 4.08305938 -0.28021359 1.20495468 -0.82645801 -0.17268156 -0.42975081 0.60336772 1.32836936 0.01148034 0.87765711 -0.66173945], Predicted=[0.96386789 0.03613211] X=[-1.01304317 -0.18099175 -0.03463842 -0.40252366 -0.2642326 -1.19421382 -1.37339468 -1.56736909 0.67379698 0.08897337 1.7763039 ], Predicted=[0.30598327 0.69401673] X=[-0.4204731 -0.18099175 0.04800112 1.9537626 0.23929812 1.21678489 1.37995295 2.13088348 1.99843026 -0.61207884 -0.58047134], Predicted=[0.88904009 0.11095991] X=[-0.53898711 0.61278301 -1.10895244 1.67771232 0.6512778 0.09949281 0.55630195 1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=[0.95551265 0.04448735] X=[-0.06493106 0.01745194 0.46119882 -0.98420103 -0.44733468 -1.19421382 -0.54974368 -0.74479212 0.54133365 2.01686694 0.96362278], Predicted=[0.69041151 0.30958849] X=[ 2.4238632 0.51356116 0.04800112 -0.98420103 0.46817572 -1.25301866 0.76809792 0.19147436 -0.38590965 -0.17392121 -0.66173945], Predicted=[0.96695887 0.03304113] X=[-0.53898711 0.31511748 -0.44783612 -0.76730438 -0.31000812 -0.07692173 -0.0320202 -1.52724338 0.21017533 -0.96260494 1.7763039 ], Predicted=[0.49720586 0.50279414] X=[-1.48709922 -1.57009756 -0.6131152 -0.4123826 -0.35578364 -1.01779928 -0.97333563 0.24831911 1.13741862 -0.26155273 -1.06808001], Predicted=[0.91711835 0.08288165] X=[-1.60561323 0.71200485 0.13064066 -1.04335466 -0.035355 -1.25301866 0.67396638 -0.67791594 1.0049553 1.66634084 -0.49920323], Predicted=[0.92123329 0.07876671] X=[-0.4204731 0.71200485 -0.1999175 0.75097212 1.06325748 1.33439458 0.74456503 0.96723801 -0.05475133 0.00134185 -0.90554379], Predicted=[0.96011321 0.03988679] X=[-0.30195909 -1.57009756 -0.69575474 -0.98420103 -0.31000812 -0.84138474 -0.17321751 -0.9654835 0.077712 -0.34918426 0.55728222], Predicted=[0.67573047 0.32426953] X=[-0.77601514 -0.47865728 -0.86103382 -1.02363678 -1.27129404 -1.01779928 -0.24381617 -0.75147973 -0.91576296 -1.8389202 0.06967355], Predicted=[0.91373518 0.08626482] X=[ 1.00169505 0.21589563 0.04800112 -1.02363678 0.10197156 -1.84106713 -0.45561214 -1.06579776 -0.05475133 -1.31313104 1.28869523], Predicted=[0.77863703 0.22136297] X=[ 0.76466702 -0.87554465 1.28759423 -0.90532952 0.4224002 -0.95899443 -0.66740811 0.19147436 0.93872363 -0.43681578 -0.49920323], Predicted=[0.94068573 0.05931427] X=[ 0.76466702 -0.67710097 -0.36519658 -0.96448315 0.01042052 -0.01811689 -0.73800677 -0.93538922 -0.25344632 -0.34918426 0.63855033], Predicted=[0.68196454 0.31803546] X=[-0.65750113 -0.67710097 2.03135009 0.71153637 1.61256372 -0.07692173 -0.29088194 0.72648377 -1.5780796 -0.26155273 -1.31188435], Predicted=[0.98054445 0.01945555] X=[-0.30195909 -1.07398834 0.13064066 -0.74758651 -0.7219878 -0.13572658 -1.42046046 -0.85848162 0.21017533 2.01686694 0.63855033], Predicted=[0.4649942 0.5350058] X=[ 0.29061097 -0.9747665 0.70911744 -0.98420103 -0.035355 0.68754127 0.43863752 -0.81166829 -1.5780796 -1.57602562 -0.01159456], Predicted=[0.90156314 0.09843686] X=[-1.84264125 -0.67710097 -0.36519658 -1.12222616 -0.81353884 -1.4294332 -1.70285508 -0.62775881 0.74002864 -0.78734189 -0.58047134], Predicted=[0.92000424 0.07999576] X=[-1.25007119 1.10889223 1.12231514 0.21858945 -0.85931436 -1.37062835 -1.1851316 -1.11261109 1.26988195 -0.34918426 2.83278935], Predicted=[0.29940983 0.70059017] X=[-0.06493106 -0.47865728 -0.36519658 1.77630171 1.24635956 1.21678489 0.81516369 1.46212172 -0.8495313 -0.69971036 -1.47442057], Predicted=[0.9461156 0.0538844] X=[ 1.00169505 0.41433932 2.36190825 0.82984363 -0.44733468 1.21678489 0.34450598 1.26149319 -0.38590965 -0.43681578 -1.31188435], Predicted=[0.95394303 0.04605697] X=[ 0.64615301 -0.87554465 1.28759423 0.57351123 -0.7219878 -0.5473605 -0.14968462 -0.00915417 -1.31315295 -1.48839409 0.394746 ], Predicted=[0.7612581 0.2387419] X=[-3.14629539 -1.07398834 0.2132802 -0.90532952 -0.76776332 3.3925642 0.53276906 -1.35002152 3.05813688 3.50660289 1.20742712], Predicted=[0.12627228 0.87372772] X=[ 0.29061097 -0.9747665 0.46119882 1.59884082 0.23929812 0.74634612 0.41510463 1.81990926 1.07118696 2.5426561 -1.14934812], Predicted=[0.79587224 0.20412776] X=[ 0.17209696 0.8112267 0.13064066 -0.76730438 0.10197156 1.8636382 0.53276906 -0.85848162 -0.91576296 0.61476253 0.47601411], Predicted=[0.80051786 0.19948214] X=[-0.4204731 -0.18099175 -0.11727796 1.99319835 -0.035355 0.51112673 0.65043349 1.99713113 1.26988195 -0.26155273 -0.82427568], Predicted=[0.89176839 0.10823161] X=[ 0.527639 -0.9747665 -0.36519658 -1.02363678 -0.08113052 -1.37062835 0.10917712 -0.74479212 0.077712 -0.08628968 0.63855033], Predicted=[0.76529061 0.23470939] X=[ 0.527639 -0.77632281 -0.36519658 2.58473465 -0.31000812 1.98124789 2.32126838 2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=[0.82487492 0.17512508] X=[-1.48709922 -0.77632281 -0.94367336 -1.0039189 0.14774708 -0.60616535 0.39157175 -0.35691029 3.65422186 -0.52444731 -0.41793512], Predicted=[0.80564142 0.19435858] X=[-1.3685852 -0.9747665 0.2132802 -1.02363678 0.01042052 -1.54704289 -1.58519066 -0.68125975 3.3892952 1.66634084 0.31347789], Predicted=[0.56441747 0.43558253] X=[-1.3685852 -1.27243203 1.12231514 0.98758664 -0.4931102 0.80515096 -0.24381617 0.17809912 -1.04822629 -1.31313104 -0.01159456], Predicted=[0.79209151 0.20790849] X=[-0.53898711 0.31511748 -0.44783612 -0.76730438 -0.31000812 -0.07692173 -0.0320202 -1.52724338 0.21017533 -0.96260494 1.7763039 ], Predicted=[0.49720586 0.50279414] X=[-0.53898711 2.20033252 -1.10895244 -0.78702226 0.60550228 -0.95899443 -0.62034234 -0.29672173 -0.05475133 -0.78734189 -1.06808001], Predicted=[0.98347464 0.01652536] X=[ 0.76466702 1.00967039 -0.03463842 0.55379335 -0.12690604 -0.95899443 -0.5262108 0.13797342 -0.71706797 -0.61207884 0.71981845], Predicted=[0.83400375 0.16599625] X=[-0.06493106 1.10889223 -0.1999175 1.569264 -0.12690604 -0.42975081 0.55630195 1.59587407 -0.12098299 0.43949948 -1.14934812], Predicted=[0.95546228 0.04453772] X=[-0.30195909 -0.28021359 -0.28255704 1.57912294 0.28507364 0.27590734 1.05049255 1.32836936 -1.11445795 0.08897337 -1.14934812], Predicted=[0.93981398 0.06018602] X=[ 0.64615301 0.61278301 -0.44783612 1.12561178 0.14774708 -0.25333627 0.25037443 0.91708088 0.21017533 0.00134185 -0.17413078], Predicted=[0.84974722 0.15025278] X=[-0.4204731 1.50577961 -1.27423152 1.33264948 -0.63043676 -0.60616535 -0.17321751 0.54257429 0.27640699 0.1766049 0.15094166], Predicted=[0.75812265 0.24187735] X=[ 0.17209696 -1.17321019 -0.11727796 -1.04335466 -0.63043676 -0.37094597 -1.37339468 -1.44030435 0.27640699 -1.13786799 1.28869523], Predicted=[0.41920749 0.58079251] X=[ 0.40912499 0.11667379 -1.10895244 0.2580252 0.01042052 0.92276066 0.83869658 0.59941904 -0.18721466 0.26423642 -0.82427568], Predicted=[0.90474197 0.09525803] X=[-0.18344508 1.30733592 -2.67910371 -0.70815075 0.10197156 0.2171025 -0.0320202 0.05772201 0.34263866 -1.22549952 -0.82427568], Predicted=[0.96625071 0.03374929] X=[ 0.29061097 -0.77632281 0.13064066 -0.62927925 -0.53888572 -0.84138474 -0.73800677 -0.69463498 -0.51837298 0.43949948 0.47601411], Predicted=[0.70333123 0.29666877] X=[ 1.59426511 1.00967039 1.28759423 1.42137993 -0.17268156 1.33439458 0.65043349 1.51227885 -0.58460464 0.43949948 -0.90554379], Predicted=[0.91611247 0.08388753] X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878 -0.01811689 -0.78507254 -0.94542065 0.74002864 -0.43681578 0.47601411], Predicted=[0.70420022 0.29579978] X=[ 0.05358295 1.30733592 -0.03463842 0.73125424 -0.12690604 -0.42975081 0.32097309 0.9271123 0.077712 0.26423642 -0.90554379], Predicted=[0.95160475 0.04839525] X=[ 0.527639 0.11667379 -0.28255704 1.30307267 -0.12690604 0.62873642 2.34480127 1.52899789 -0.8495313 -0.69971036 -1.47442057], Predicted=[0.96492604 0.03507396] X=[-1.01304317 0.31511748 -0.53047566 -0.80674014 -0.17268156 -0.95899443 -0.43207925 -1.50718053 0.87249197 -0.69971036 1.7763039 ], Predicted=[0.51806429 0.48193571] X=[-0.4204731 0.71200485 -0.44783612 1.18476541 0.23929812 2.98093028 1.75647912 0.72648377 -0.18721466 0.1766049 -0.49920323], Predicted=[0.83185627 0.16814373] X=[ 0.527639 -0.9747665 2.60982687 -0.98420103 0.01042052 -0.42975081 0.43863752 0.19147436 0.93872363 1.14055168 -0.90554379], Predicted=[0.93519555 0.06480445] X=[ 0.29061097 1.50577961 2.27926871 1.06645815 -0.035355 1.09917519 0.39157175 1.12774083 -0.51837298 -0.34918426 -1.47442057], Predicted=[0.97040375 0.02959625] X=[-0.53898711 0.31511748 0.37855928 -0.68843288 -0.35578364 -0.95899443 -0.8556712 -0.94542065 -0.12098299 -1.22549952 0.394746 ], Predicted=[0.84119503 0.15880497] X=[ 0.76466702 -1.37165388 3.35358273 -0.94476527 -0.4931102 -0.84138474 -0.29088194 -0.24322079 0.47510198 -0.34918426 -0.2553989 ], Predicted=[0.87817067 0.12182933] X=[-0.06493106 -0.28021359 0.04800112 -0.3335111 -0.67621228 -0.07692173 -0.10261885 -0.44384932 0.14394366 -0.96260494 0.06967355], Predicted=[0.77892582 0.22107418] X=[-0.53898711 -1.07398834 -0.11727796 -0.78702226 0.10197156 0.33471219 1.45055161 -0.07603035 2.06466192 0.08897337 -0.66173945], Predicted=[0.84760581 0.15239419] X=[-0.06493106 -0.67710097 -0.53047566 2.31854331 -0.17268156 0.33471219 0.17977578 2.03056922 0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623] X=[-0.18344508 1.20811407 -0.94367336 0.47492185 0.28507364 -0.6649702 -0.59680945 0.57935618 0.21017533 -0.34918426 -0.90554379], Predicted=[0.94879211 0.05120789] X=[ 0.29061097 -1.27243203 0.04800112 -1.06307253 -0.58466124 -0.48855566 -1.53812488 -1.43361674 0.34263866 -0.69971036 1.36996334], Predicted=[0.37854068 0.62145932] X=[-0.18344508 0.61278301 0.79175698 -0.94476527 -0.21845708 -0.37094597 -0.57327657 -1.29986438 0.27640699 -0.43681578 1.69503579], Predicted=[0.64494077 0.35505923] X=[-0.4204731 -0.57787912 -0.44783612 -0.53068986 0.60550228 -0.37094597 0.29744021 -0.75482354 0.27640699 -0.69971036 1.28869523], Predicted=[0.72394582 0.27605418] X=[-0.77601514 0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443 -1.23219737 -1.56736909 -0.98199462 -2.01418325 2.34518068], Predicted=[0.46803174 0.53196826] X=[ 0.29061097 -0.18099175 -0.11727796 -0.09689658 -0.40155916 0.2171025 -0.97333563 -0.2097827 0.8062603 -0.78734189 0.88235467], Predicted=[0.63641976 0.36358024] X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494] X=[ 0.17209696 -0.47865728 0.13064066 -0.98420103 -0.44733468 -0.25333627 -0.59680945 -0.94542065 -0.18721466 -0.08628968 0.23220977], Predicted=[0.74700933 0.25299067] X=[-0.30195909 -1.17321019 1.94871055 -1.04335466 3.85556419 1.33439458 0.03857846 -0.44384932 -0.45214131 -0.87497341 -0.9868119 ], Predicted=[0.98269298 0.01730702] X=[-1.84264125 -1.12359927 -0.77839428 -1.04335466 0.23929812 -0.60616535 -0.78507254 -0.5107255 0.87249197 -0.17392121 -1.14934812], Predicted=[0.92963683 0.07036317] X=[ 0.29061097 1.00967039 0.54383836 -0.82645801 -0.17268156 1.09917519 1.47408449 -0.75482354 -1.04822629 0.08897337 0.71981845], Predicted=[0.8721634 0.1278366] X=[-1.01304317 -0.0817699 -0.1999175 -0.27435747 -0.12690604 1.09917519 0.74456503 -0.54416359 0.60756531 0.26423642 0.394746 ], Predicted=[0.70326752 0.29673248] X=[-0.53898711 0.21589563 -0.28255704 -0.81659907 -0.35578364 -1.60584774 1.68588046 -0.10946844 0.077712 1.14055168 -0.49920323], Predicted=[0.95073413 0.04926587] X=[-0.89452915 -0.47865728 0.95703606 0.82984363 2.20764547 0.80515096 0.72103215 0.99064467 -0.91576296 0.43949948 -1.39315246], Predicted=[0.98035888 0.01964112] X=[-0.53898711 -0.9747665 0.13064066 -1.06307253 -0.035355 0.2171025 -0.71447388 -0.97885873 0.8062603 -1.22549952 0.31347789], Predicted=[0.74458283 0.25541717] X=[-0.53898711 -1.32204295 1.28759423 -0.19548596 0.10197156 1.09917519 0.60336772 0.19147436 2.4620519 -0.43681578 0.23220977], Predicted=[0.70842738 0.29157262] X=[-0.53898711 2.20033252 -1.4395106 1.28335479 -0.17268156 -0.5473605 -0.00848731 1.12774083 0.60756531 -1.40076257 -1.23061624], Predicted=[0.96415909 0.03584091] X=[ 0.05358295 0.11667379 -0.11727796 -0.11661445 -0.2642326 -1.13540897 -0.62034234 -0.34353506 -0.98199462 0.79002558 0.55728222], Predicted=[0.80641937 0.19358063] X=[-0.18344508 0.01745194 0.70911744 -0.57012562 -0.4931102 0.45232188 -0.78507254 -1.27645772 -0.05475133 -0.96260494 1.36996334], Predicted=[0.51246415 0.48753585] X=[-0.18344508 0.21589563 -0.36519658 -0.70815075 -0.9508654 0.09949281 -0.73800677 -0.8150121 0.8062603 1.22818321 0.63855033], Predicted=[0.53520553 0.46479447] X=[ 0.40912499 -0.67710097 0.6264779 -1.0039189 -0.44733468 -0.13572658 -1.25573025 -0.67791594 -0.12098299 0.1766049 -0.09286267], Predicted=[0.79497372 0.20502628] X=[-0.53898711 -0.37943543 -0.11727796 1.67771232 0.05619604 1.09917519 0.55630195 0.9271123 0.60756531 0.08897337 -0.2553989 ], Predicted=[0.67783899 0.32216101] X=[-0.18344508 0.11667379 0.95703606 1.55940506 0.37662468 -0.31214112 1.00342678 1.55909217 -0.31967798 0.70239405 -1.14934812], Predicted=[0.95364876 0.04635124] X=[ 0.40912499 -0.47865728 0.37855928 -0.05746082 0.97170644 -0.90018958 -1.13806583 0.31185148 -0.12098299 2.63028763 -0.66173945], Predicted=[0.88135604 0.11864396] X=[ 1.94980715 0.41433932 0.2132802 1.67771232 -0.21845708 0.68754127 1.21522275 1.39524554 -0.71706797 -1.57602562 -0.41793512], Predicted=[0.87284296 0.12715704] X=[-0.77601514 -0.77632281 -0.44783612 -1.04335466 -0.31000812 -0.6649702 -1.42046046 -1.3801158 1.13741862 -0.17392121 1.28869523], Predicted=[0.45035814 0.54964186] X=[ 2.77940524 -0.0817699 0.04800112 0.81012575 -0.12690604 0.80515096 2.10947241 1.12774083 -0.98199462 -0.69971036 -0.09286267], Predicted=[0.87182917 0.12817083] X=[-1.3685852 -0.18099175 -0.28255704 -0.90532952 -0.31000812 -0.31214112 -0.78507254 -1.36339675 1.93219859 0.26423642 1.61376767], Predicted=[0.38920974 0.61079026] X=[-0.4204731 -0.9747665 0.04800112 -0.94476527 -0.2642326 0.45232188 0.22684155 -0.94542065 0.87249197 0.87765711 0.80108656], Predicted=[0.53787103 0.46212897] X=[ 1.00169505 -0.18099175 0.54383836 -1.04335466 -0.17268156 -1.54704289 -1.8440524 -0.84510638 -1.97546959 0.08897337 0.06967355], Predicted=[0.89952828 0.10047172] X=[-0.53898711 -1.07398834 -0.28255704 -0.70815075 -0.53888572 -0.13572658 -0.31441482 -0.83841876 -1.04822629 0.00134185 -0.09286267], Predicted=[0.79151247 0.20848753] X=[ 0.29061097 -0.77632281 0.29591974 -0.96448315 0.14774708 -0.42975081 -0.22028328 -0.59097691 -0.25344632 0.26423642 0.23220977], Predicted=[0.8415718 0.1584282] X=[-2.19818329 0.51356116 -1.27423152 -0.35322897 -0.63043676 0.27590734 -0.33794771 -0.9654835 -0.05475133 -0.78734189 0.394746 ], Predicted=[0.78902965 0.21097035] X=[ 1.59426511 -1.07398834 -0.11727796 -0.96448315 0.1935226 -1.07660412 -0.87920408 -0.00915417 -0.31967798 0.79002558 -0.82427568], Predicted=[0.90561725 0.09438275] X=[ 0.76466702 -1.07398834 0.04800112 -0.98420103 -0.4931102 -1.31182351 -0.8556712 -0.74479212 -0.91576296 2.19213 0.394746 ], Predicted=[0.68692161 0.31307839] X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=[0.88343897 0.11656103] X=[ 0.88318104 -0.87554465 0.29591974 1.32279054 -0.58466124 0.9815655 0.29744021 1.08092751 -0.05475133 2.63028763 -0.09286267], Predicted=[0.52799919 0.47200081] X=[-0.53898711 1.10889223 -1.0263129 -1.02363678 -0.21845708 -0.01811689 -0.05555308 -0.59432072 -0.25344632 -0.26155273 -0.2553989 ], Predicted=[0.93986841 0.06013159] X=[-1.01304317 0.21589563 -0.03463842 -0.84617589 -0.17268156 -0.25333627 -0.26734905 -1.46705482 0.87249197 -0.61207884 1.61376767], Predicted=[0.52924354 0.47075646] X=[-0.89452915 1.30733592 -2.76174325 -0.94476527 0.78860436 0.04068796 -1.20866448 -0.87854447 0.54133365 1.57870931 0.23220977], Predicted=[0.81954099 0.18045901] X=[-0.65750113 -0.0817699 1.0396756 0.92843301 0.33084916 0.51112673 0.90929523 0.9638942 -0.05475133 1.57870931 -0.90554379], Predicted=[0.91760829 0.08239171] X=[ 0.88318104 0.21589563 -0.69575474 -0.4123826 0.37662468 -0.78257989 -0.64387523 0.52585524 -0.45214131 0.00134185 -1.06808001], Predicted=[0.96987514 0.03012486] X=[-0.4204731 0.11667379 1.53551285 0.29746096 0.14774708 -0.01811689 1.26228852 0.49576096 -0.18721466 0.1766049 -0.82427568], Predicted=[0.95029035 0.04970965] X=[ 0.64615301 2.79566358 -2.01798739 -0.96448315 1.15480852 -0.95899443 -0.50267791 0.31185148 0.21017533 0.35186795 -0.58047134], Predicted=[0.9894267 0.0105733] X=[-0.06493106 -0.28021359 -0.53047566 0.8495615 1.38368612 0.68754127 0.36803886 0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=[0.964955 0.035045] X=[ 0.527639 0.41433932 0.13064066 -0.98420103 0.1935226 -1.60584774 0.57983483 -0.53078835 0.34263866 -0.61207884 0.15094166], Predicted=[0.91883392 0.08116608] X=[ 0.05358295 -0.37943543 -0.03463842 -0.31379322 -0.2642326 -1.13540897 -0.17321751 -0.14290653 0.47510198 1.31581474 0.15094166], Predicted=[0.77041079 0.22958921] X=[-0.53898711 0.01745194 -0.86103382 -0.0771787 0.23929812 0.86395581 0.55630195 -0.00915417 -0.25344632 0.26423642 -0.2553989 ], Predicted=[0.87887623 0.12112377] X=[ 1.00169505 -0.37943543 -0.36519658 1.75658383 -0.08113052 0.2171025 1.30935429 1.39524554 -0.8495313 -0.17392121 -0.74300757], Predicted=[0.85702532 0.14297468] X=[ 0.29061097 0.86083762 -1.60478968 -1.02363678 0.4224002 -0.6649702 -1.27926314 0.02428392 -0.25344632 -0.52444731 -1.31188435], Predicted=[0.98027838 0.01972162] X=[-0.18344508 -0.28021359 -0.86103382 0.15943582 -0.35578364 1.51080912 1.92120932 0.39210289 -0.31967798 -1.22549952 -0.82427568], Predicted=[0.91844732 0.08155268] X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784] X=[-0.30195909 0.21589563 -0.69575474 0.31717883 -0.44733468 -0.84138474 -0.33794771 -0.13621891 -0.8495313 -0.96260494 0.23220977], Predicted=[0.8463148 0.1536852] X=[-0.89452915 -0.28021359 -0.28255704 -1.02363678 -0.44733468 0.39351704 -0.73800677 -1.01229682 1.0049553 0.61476253 0.23220977], Predicted=[0.65596485 0.34403515] X=[ 7.64667024e-01 1.16673788e-01 -6.13115201e-01 1.68757126e+00 9.71706437e-01 6.87541270e-01 9.32828121e-01 1.45543410e+00 -9.81994625e-01 1.34184656e-03 -1.06808001e+00], Predicted=[0.93117167 0.06882833] X=[-0.06493106 -0.57787912 -0.28255704 1.42137993 0.4224002 0.86395581 0.97989389 1.46212172 1.66727194 -0.87497341 -0.58047134], Predicted=[0.84468362 0.15531638] X=[-0.53898711 -0.37943543 1.28759423 -0.11661445 0.33084916 -0.60616535 -0.43207925 0.05772201 -1.18068962 4.29528662 -0.01159456], Predicted=[0.85734966 0.14265034] X=[-0.18344508 -0.28021359 -0.1999175 -0.99405996 0.69705332 -0.2827387 1.87414355 -0.04927988 -0.18721466 0.35186795 -0.82427568], Predicted=[0.97083935 0.02916065] X=[-0.4204731 0.21589563 -0.53047566 -0.47153623 -0.35578364 0.09949281 -0.97333563 -1.25973868 0.077712 0.96528863 1.69503579], Predicted=[0.36213377 0.63786623] X=[-0.53898711 -0.47865728 -0.28255704 0.13971794 -0.40155916 1.62841881 2.29773549 0.39210289 -0.8495313 -1.31313104 -1.06808001], Predicted=[0.94790792 0.05209208] X=[-1.01304317 0.11667379 -0.69575474 -0.98420103 -0.58466124 -0.31214112 -0.57327657 -2.03550233 -0.71706797 -0.52444731 2.18264446], Predicted=[0.40412658 0.59587342] X=[ 0.64615301 -0.77632281 0.79175698 0.27774308 -0.035355 -0.48855566 0.34450598 0.79335995 0.01148034 0.527131 -1.23061624], Predicted=[0.9250222 0.0749778] X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=[0.62479758 0.37520242] X=[-0.65750113 -0.77632281 0.54383836 -0.96448315 -0.40155916 -0.01811689 -0.73800677 -0.7782302 1.79973526 0.08897337 0.71981845], Predicted=[0.6089612 0.3910388] X=[-1.01304317 0.61278301 2.69246641 1.87489109 0.01042052 -0.5473605 0.60336772 1.29493128 -0.31967798 0.08897337 -1.39315246], Predicted=[0.9556556 0.0443444] X=[-0.06493106 -1.66931941 -0.53047566 0.43548609 -0.08113052 0.56993158 -0.80860543 0.17141151 0.077712 -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046] X=[-0.65750113 -0.37943543 1.78343147 0.33689671 -0.2642326 1.8636382 1.82707778 0.64623236 0.34263866 0.08897337 -1.06808001], Predicted=[0.92268378 0.07731622] X=[ 1.94980715 -1.27243203 1.28759423 -0.96448315 -0.67621228 -1.07660412 -0.38501348 -0.27665888 -1.04822629 -0.78734189 -0.17413078], Predicted=[0.88129575 0.11870425] X=[-0.65750113 -0.0817699 1.45287331 0.23830733 0.14774708 -0.01811689 1.45055161 0.48572954 -0.18721466 0.43949948 -0.90554379], Predicted=[0.952167 0.047833] X=[ 1.35723709 -0.18099175 0.2132802 -0.86589377 0.37662468 -0.31214112 -0.40854637 -0.67791594 -0.6508363 2.01686694 0.88235467], Predicted=[0.68697719 0.31302281] X=[ 0.17209696 -1.37165388 0.6264779 -1.08279041 -0.40155916 -0.78257989 -1.0204014 -0.87854447 0.40887032 -0.52444731 0.31347789], Predicted=[0.71434909 0.28565091] X=[ 0.527639 -0.28021359 0.46119882 0.00169281 -0.53888572 -1.60584774 -1.27926314 0.05772201 -0.05475133 -0.26155273 0.80108656], Predicted=[0.79126802 0.20873198] X=[-2.19818329 -0.42904636 -0.53047566 1.05659921 -0.7219878 -0.07692173 -0.47914502 0.45897907 -0.78329963 0.08897337 -0.90554379], Predicted=[0.88787693 0.11212307] X=[ 1.23872307 -1.37165388 3.35358273 -1.02363678 -0.81353884 -0.31214112 0.62690061 -1.01229682 -0.71706797 2.8931822 1.45123145], Predicted=[0.42315652 0.57684348] X=[ 0.527639 -0.47865728 0.29591974 -0.88561164 -0.21845708 0.92276066 0.62690061 -1.079173 0.47510198 -0.78734189 1.36996334], Predicted=[0.51677183 0.48322817] X=[-0.30195909 1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=[0.92490391 0.07509609] X=[ 0.40912499 -0.37943543 -0.53047566 0.98758664 -0.53888572 0.27590734 0.83869658 1.23808652 0.077712 -0.43681578 -1.23061624], Predicted=[0.9116288 0.0883712] X=[-0.89452915 0.61278301 -1.0263129 -0.27435747 -0.17268156 -1.07660412 -0.12615174 -0.09943701 -1.11445795 0.35186795 -0.90554379], Predicted=[0.96057498 0.03942502] X=[ 0.05358295 0.11667379 0.54383836 2.57487571 -0.12690604 0.04068796 0.41510463 1.86337878 -1.71054293 -0.17392121 -1.31188435], Predicted=[0.93632839 0.06367161] X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474 -1.53812488 -1.69443383 -0.12098299 -1.48839409 1.93884012], Predicted=[0.40903582 0.59096418] X=[-0.06493106 -1.57009756 -0.1999175 -0.23492171 -0.035355 -0.37094597 -0.43207925 0.05772201 1.46857694 -0.26155273 -0.58047134], Predicted=[0.75234739 0.24765261] X=[ 1.12020906 -0.18099175 1.28759423 -0.64899712 -0.035355 -0.84138474 -0.5262108 -0.31009697 -0.18721466 -1.22549952 -0.17413078], Predicted=[0.9013583 0.0986417] X=[-0.06493106 -0.18099175 -0.6131152 -0.86589377 -1.22551852 -0.69437262 -1.56165777 -1.20958154 -0.18721466 -0.17392121 1.04489089], Predicted=[0.53033164 0.46966836] X=[-7.76015140e-01 6.12783009e-01 -2.82557040e-01 9.28433010e-01 5.61960394e-02 -4.29750812e-01 2.32126838e+00 1.36180745e+00 -5.47513286e-02 1.34184656e-03 -1.47442057e+00], Predicted=[0.98129611 0.01870389] X=[ 1.71277913 0.21589563 0.2132802 0.71153637 -0.17268156 -0.13572658 0.72103215 1.39524554 0.27640699 0.1766049 -0.9868119 ], Predicted=[0.93130459 0.06869541] X=[-1.60561323 -0.87554465 -0.53047566 -1.08279041 -0.2642326 0.9815655 -0.83213831 -1.25973868 2.06466192 -0.87497341 0.55728222], Predicted=[0.520723 0.479277] X=[ 0.88318104 -0.77632281 0.04800112 -0.90532952 -0.21845708 0.39351704 0.22684155 -0.22650175 1.07118696 1.49107779 0.47601411], Predicted=[0.66515294 0.33484706] X=[-0.89452915 -0.77632281 -1.35687106 -0.94476527 0.10197156 0.62873642 -0.22028328 -1.01229682 0.74002864 -0.52444731 0.71981845], Predicted=[0.65334043 0.34665957] X=[-0.06493106 0.51356116 -0.44783612 -1.02363678 -0.63043676 0.15829765 -0.17321751 -1.71449668 0.01148034 -0.69971036 2.02010823], Predicted=[0.42111669 0.57888331] X=[-0.53898711 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=[0.89215224 0.10784776] X=[-0.4204731 -0.0817699 0.54383836 0.71153637 -0.31000812 2.27527212 2.08593952 0.59941904 -0.05475133 0.08897337 -0.90554379], Predicted=[0.86631303 0.13368697] X=[ 0.05358295 0.41433932 -0.53047566 1.89460897 -0.53888572 1.33439458 1.09755832 1.78981498 1.0049553 0.96528863 -1.23061624], Predicted=[0.82948722 0.17051278] X=[-0.18344508 -0.77632281 -0.77839428 0.02141068 -0.08113052 -0.42975081 -0.90273697 -0.18303223 -0.45214131 -1.40076257 -0.2553989 ], Predicted=[0.84169589 0.15830411] X=[-0.18344508 0.21589563 0.87439652 2.43685057 0.51395124 1.7460285 2.01534087 1.85000354 -0.51837298 0.35186795 -1.14934812], Predicted=[0.9110233 0.0889767] X=[-0.18344508 -0.18099175 0.46119882 -1.04335466 -0.2642326 0.56993158 0.20330866 -0.17634461 0.87249197 0.79002558 -0.74300757], Predicted=[0.90602658 0.09397342] X=[-0.4204731 -0.9747665 -0.6131152 -0.98420103 -0.21845708 0.27590734 0.06211135 0.02428392 1.0049553 2.01686694 -0.82427568], Predicted=[0.86844725 0.13155275] X=[ 1.94980715 -0.87554465 1.20495468 -1.04335466 -0.90508988 -0.72377504 -1.89111817 -0.73141688 -1.90923792 0.08897337 -0.01159456], Predicted=[0.80102484 0.19897516] X=[-1.48709922 -0.23060267 1.94871055 0.8495615 0.46817572 1.80483335 0.76809792 0.20484959 0.40887032 1.05292016 -0.09286267], Predicted=[0.75810296 0.24189704] X=[-0.18344508 0.71200485 -0.11727796 0.5143576 -0.63043676 -0.37094597 -0.59680945 -0.71804165 -0.38590965 1.40344626 1.93884012], Predicted=[0.31611386 0.68388614] X=[ 0.76466702 1.00967039 1.37023377 1.26363691 -0.17268156 1.27558973 1.07402544 1.46212172 -0.6508363 -0.26155273 -1.23061624], Predicted=[0.96066798 0.03933202] X=[ 0.527639 -0.37943543 0.04800112 0.21858945 0.10197156 -0.37094597 0.32097309 0.72648377 -0.58460464 0.43949948 -1.23061624], Predicted=[0.94791259 0.05208741] X=[-0.30195909 -0.0817699 -0.69575474 -0.64899712 0.28507364 0.33471219 1.16815698 -0.84510638 0.34263866 -0.78734189 0.63855033], Predicted=[0.75762668 0.24237332] X=[ 0.17209696 -0.57787912 0.46119882 -0.84617589 0.4224002 0.2171025 1.40348584 0.3586648 2.19712525 0.43949948 -0.2553989 ], Predicted=[0.90742694 0.09257306] X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261] X=[ 0.29061097 -0.77632281 -0.1999175 0.09042325 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=[0.86193466 0.13806534] X=[-0.4204731 -0.28021359 -1.10895244 -0.98420103 -0.99664092 -0.37094597 -0.87920408 -0.81166829 0.34263866 0.43949948 0.23220977], Predicted=[0.71033491 0.28966509] X=[ 0.88318104 -1.07398834 1.0396756 -1.08279041 -0.44733468 1.62841881 0.20330866 -0.92535779 -1.11445795 -0.69971036 0.15094166], Predicted=[0.75435514 0.24564486] X=[-0.30195909 1.10889223 -0.94367336 -0.47153623 -0.35578364 -1.07660412 -0.94980274 -1.28648915 0.40887032 0.35186795 2.02010823], Predicted=[0.44092827 0.55907173] X=[-0.4204731 1.50577961 -0.44783612 0.95800982 -0.63043676 -0.25333627 -1.20866448 -0.61103976 -1.11445795 -0.96260494 1.53249956], Predicted=[0.5445308 0.4554692] X=[ 0.88318104 -0.0817699 -0.36519658 -0.76730438 0.60550228 0.09949281 -0.54974368 -0.24990841 -0.6508363 -1.05023647 -0.58047134], Predicted=[0.93905899 0.06094101] X=[-0.30195909 -0.37943543 0.13064066 0.2580252 -0.67621228 0.04068796 -0.07908597 -0.07603035 0.01148034 -1.05023647 -0.01159456], Predicted=[0.77593678 0.22406322] X=[-0.53898711 0.31511748 1.37023377 -0.11661445 -0.35578364 0.39351704 -0.64387523 -0.71469784 -0.05475133 0.35186795 1.126159 ], Predicted=[0.6261441 0.3738559] X=[-0.77601514 -0.67710097 -0.44783612 -0.13633233 -0.81353884 0.56993158 -0.40854637 -0.78491782 0.14394366 5.17160188 1.32932928], Predicted=[0.16988359 0.83011641] X=[ 0.527639 -0.18099175 1.28759423 -0.27435747 -0.81353884 -0.19453143 -0.73800677 -0.14290653 0.34263866 0.43949948 0.23220977], Predicted=[0.73902868 0.26097132] X=[ 0.527639 -1.47087572 -0.1999175 -0.80674014 0.37662468 -0.78257989 -0.80860543 -0.54416359 0.34263866 3.76949746 0.80108656], Predicted=[0.4776577 0.5223423] X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396] X=[ 1.83129314 -1.17321019 -0.03463842 -0.96448315 -0.58466124 -1.13540897 -0.94980274 -0.00915417 -0.31967798 -0.61207884 -0.66173945], Predicted=[0.89646524 0.10353476] X=[-0.18344508 2.59721989 -0.53047566 0.13971794 0.14774708 -1.60584774 0.93282812 0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=[0.98395511 0.01604489] X=[-0.30195909 -0.57787912 -0.28255704 1.63827657 -0.035355 0.86395581 -0.05555308 1.00736371 -0.31967798 -1.05023647 0.06967355], Predicted=[0.77828925 0.22171075] X=[-0.18344508 0.31511748 -0.11727796 1.59884082 -0.35578364 -1.72345743 -1.39692757 0.03097153 -0.31967798 -1.31313104 1.61376767], Predicted=[0.48062741 0.51937259] X=[ 0.40912499 -0.37943543 -0.28255704 -0.94476527 0.10197156 -0.48855566 -0.17321751 -0.24322079 0.40887032 -0.34918426 -0.01159456], Predicted=[0.89725167 0.10274833] X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767] X=[ 0.29061097 -0.28021359 -0.44783612 -0.94476527 0.28507364 0.62873642 0.72103215 -0.47728741 -0.91576296 -0.69971036 -0.01159456], Predicted=[0.92106118 0.07893882] X=[-0.06493106 0.41433932 -1.0263129 -0.82645801 -0.08113052 -1.19421382 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=[0.95305671 0.04694329] X=[-0.06493106 -1.07398834 -1.35687106 -0.25463959 0.14774708 -0.5473605 -1.32632891 -0.34353506 -1.24692128 -0.96260494 -0.58047134], Predicted=[0.87660591 0.12339409] X=[-0.06493106 0.01745194 -0.36519658 1.08617602 0.28507364 0.92276066 0.25037443 0.4723543 -1.11445795 0.79002558 -0.09286267], Predicted=[0.7909159 0.2090841] X=[-0.18344508 -0.67710097 0.04800112 -0.96448315 -0.4931102 0.56993158 -0.3614806 -1.51721196 0.34263866 -1.13786799 1.69503579], Predicted=[0.39710714 0.60289286] X=[ 0.88318104 -1.17321019 0.87439652 -0.98420103 -0.12690604 -0.60616535 -0.690941 -0.27665888 -0.51837298 2.27976152 -0.17413078], Predicted=[0.82192511 0.17807489] X=[ 0.29061097 -0.9747665 1.28759423 -1.0039189 -0.58466124 -1.37062835 -1.56165777 -1.10592347 -0.91576296 0.35186795 0.63855033], Predicted=[0.71299855 0.28700145] X=[-0.65750113 -1.17321019 -0.94367336 -1.0039189 0.01042052 -1.01779928 -1.70285508 -0.32012839 2.79321022 0.527131 -0.17413078], Predicted=[0.71159988 0.28840012] X=[-0.06493106 0.41433932 0.04800112 -0.0771787 0.1935226 -1.78226228 -0.22028328 0.42554098 0.01148034 -0.78734189 -1.14934812], Predicted=[0.97371936 0.02628064] X=[ 0.64615301 -0.0817699 1.28759423 -1.04335466 -0.40155916 -0.13572658 0.41510463 -0.67791594 -0.25344632 0.43949948 0.47601411], Predicted=[0.82590489 0.17409511] X=[ 1.12020906 -0.18099175 1.28759423 -0.62927925 -0.85931436 -0.42975081 -1.20866448 -0.71135403 -1.04822629 -1.48839409 0.63855033], Predicted=[0.78643599 0.21356401] X=[ 0.17209696 1.90266698 -2.18326647 -1.04335466 -0.4931102 -1.07660412 0.29744021 -1.01229682 -1.11445795 -1.31313104 -0.01159456], Predicted=[0.93783684 0.06216316] X=[-0.77601514 0.51356116 -0.53047566 -0.29407534 -0.44733468 -0.31214112 -0.10261885 -0.44384932 0.077712 -0.61207884 -0.09286267], Predicted=[0.86442972 0.13557028] X=[-0.30195909 0.8112267 -1.0263129 -0.96448315 0.14774708 0.2171025 1.07402544 -0.41041123 -0.05475133 -0.69971036 -0.49920323], Predicted=[0.95384155 0.04615845] X=[ 1.23872307 -1.17321019 -0.28255704 0.19887157 0.1935226 1.33439458 0.32097309 0.6997333 -0.45214131 -1.05023647 -0.82427568], Predicted=[0.89399687 0.10600313] X=[ 0.40912499 -1.07398834 0.6264779 -0.94476527 0.28507364 -0.6649702 -0.29088194 -0.58428929 0.01148034 0.00134185 0.23220977], Predicted=[0.82760942 0.17239058] X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.02695966 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=[0.5797325 0.4202675] X=[ 0.05358295 -0.9747665 0.2132802 -1.0039189 -0.44733468 0.27590734 -0.50267791 -0.2097827 0.54133365 4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545] X=[-0.89452915 0.8112267 -1.4395106 0.00169281 -0.40155916 0.04068796 1.40348584 0.12459818 -0.12098299 1.14055168 -0.49920323], Predicted=[0.90736474 0.09263526] X=[-1.01304317 -0.67710097 0.04800112 -0.86589377 -0.17268156 1.62841881 -0.3614806 -1.17279965 1.66727194 -0.61207884 0.71981845], Predicted=[0.46579436 0.53420564] X=[ 1.12020906 2.10111067 1.28759423 0.12000007 -0.12690604 -0.37094597 0.25037443 0.39210289 0.14394366 -1.40076257 -0.41793512], Predicted=[0.95916613 0.04083387] X=[ 0.17209696 -1.07398834 -0.03463842 -0.47153623 -0.53888572 -1.07660412 -0.26734905 -0.2097827 0.01148034 -0.87497341 0.06967355], Predicted=[0.83692796 0.16307204] X=[-0.4204731 -0.67710097 -0.44783612 -0.98420103 0.01042052 -0.5473605 -1.70285508 -0.68125975 1.60104027 -0.08628968 0.47601411], Predicted=[0.6971645 0.3028355] X=[-1.25007119 0.11667379 0.37855928 0.8495615 -0.35578364 0.80515096 -0.05555308 -0.12284367 -0.51837298 0.87765711 0.55728222], Predicted=[0.63507453 0.36492547] X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317] X=[-0.18344508 -0.18099175 1.28759423 0.37633246 0.05619604 1.09917519 1.23875564 0.45897907 0.27640699 -0.78734189 -0.17413078], Predicted=[0.8924723 0.1075277] X=[-0.18344508 0.46395024 4.01469905 -1.02363678 4.86262563 0.80515096 -0.43207925 -0.30340935 -1.31315295 -0.96260494 -1.06808001], Predicted=[0.99728317 0.00271683] X=[ 0.17209696 -0.57787912 -0.6131152 -1.04335466 -0.40155916 -0.90018958 -1.58519066 -1.27980153 -0.58460464 -0.96260494 0.96362278], Predicted=[0.66940809 0.33059191] X=[ 1.35723709e+00 -8.75544654e-01 -2.82557040e-01 -8.65893766e-01 3.30849159e-01 7.46346116e-01 3.85784619e-02 -9.15417164e-03 -5.47513286e-02 1.34184656e-03 -7.43007566e-01], Predicted=[0.8919681 0.1080319] X=[ 0.40912499 -0.37943543 -0.53047566 0.98758664 -0.53888572 0.27590734 0.83869658 1.23808652 0.077712 -0.43681578 -1.23061624], Predicted=[0.9116288 0.0883712] X=[ 0.40912499 -0.77632281 0.37855928 -1.06307253 -0.40155916 -0.84138474 -1.514592 -0.74479212 0.14394366 -1.05023647 0.394746 ], Predicted=[0.80166168 0.19833832] X=[-1.3685852 -0.18099175 -0.53047566 -0.45181836 7.1056261 2.2458697 1.20345631 0.05772201 0.54133365 -0.96260494 -0.90554379], Predicted=[0.99450436 0.00549564] X=[-0.30195909 0.31511748 0.29591974 -0.03774295 0.28507364 -1.31182351 0.60336772 0.66629521 0.34263866 -0.87497341 -1.39315246], Predicted=[0.98171876 0.01828124] X=[ 0.64615301 -0.9747665 0.2132802 1.32279054 0.46817572 2.15766243 0.57983483 1.99713113 1.53480861 -1.22549952 -1.14934812], Predicted=[0.91280775 0.08719225] X=[ 0.64615301 0.71200485 -0.77839428 -0.0771787 -0.17268156 -0.42975081 -0.3614806 -0.33015982 -0.31967798 -0.43681578 0.63855033], Predicted=[0.77361599 0.22638401] X=[-0.06493106 0.41433932 -0.28255704 -0.60956137 -0.76776332 -1.19421382 -1.37339468 -1.14270537 0.93872363 1.22818321 1.69503579], Predicted=[0.35088741 0.64911259] X=[ 0.29061097 -0.9747665 0.46119882 1.59884082 0.23929812 0.74634612 0.41510463 1.81990926 1.07118696 2.5426561 -1.14934812], Predicted=[0.79587224 0.20412776] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[-1.13155718 0.8112267 0.6264779 -1.0039189 0.05619604 0.56993158 -0.80860543 -0.7782302 0.93872363 0.1766049 0.06967355], Predicted=[0.87359532 0.12640468] X=[ 0.29061097 0.61278301 1.28759423 -0.96448315 -0.85931436 -0.5473605 -0.29088194 -1.34667771 0.74002864 -1.40076257 1.36996334], Predicted=[0.60060702 0.39939298] X=[-0.30195909 1.20811407 1.0396756 -0.03774295 0.46817572 0.39351704 2.41539992 0.9271123 2.06466192 0.96528863 -0.49920323], Predicted=[0.96011619 0.03988381] X=[ 0.17209696 -0.77632281 0.13064066 0.47492185 -0.40155916 -0.25333627 -0.83213831 -0.04927988 -0.38590965 0.00134185 0.394746 ], Predicted=[0.63251834 0.36748166] X=[-1.72412724 0.11667379 1.12231514 -0.668715 0.28507364 0.68754127 0.15624289 -0.34353506 0.67379698 2.27976152 -0.41793512], Predicted=[0.89149453 0.10850547] X=[-0.30195909 -0.18099175 -0.69575474 1.02702239 -0.035355 0.56993158 0.93282812 0.9638942 0.93872363 -0.52444731 -0.58047134], Predicted=[0.85060129 0.14939871] X=[ 1.71277913 1.40655776 2.36190825 2.53543996 -0.2642326 0.33471219 0.79163081 2.06400731 -1.37938461 1.57870931 -0.66173945], Predicted=[0.90423783 0.09576217] X=[-0.53898711 3.39099465 -1.77006876 -0.3335111 0.6512778 -0.13572658 1.35642006 0.51248001 0.21017533 -0.08628968 -1.31188435], Predicted=[0.9930761 0.0069239] X=[-1.01304317 0.31511748 0.37855928 -0.31379322 -0.2642326 0.33471219 -0.87920408 -1.45367959 0.34263866 0.61476253 2.10137634], Predicted=[0.29631475 0.70368525] X=[-1.25007119 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=[0.28208425 0.71791575] X=[-0.18344508 -0.37943543 -0.11727796 0.5143576 -1.04241644 -0.90018958 -0.690941 -0.47059979 1.0049553 -1.22549952 1.69503579], Predicted=[0.32132802 0.67867198] X=[ 0.17209696 -0.57787912 -0.36519658 0.49463972 0.1935226 -0.6649702 -1.13806583 0.51248001 0.67379698 -0.26155273 -0.58047134], Predicted=[0.8337122 0.1662878] X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524] X=[-0.65750113 -0.57787912 -0.94367336 -0.15605021 -0.31000812 -0.25333627 -0.24381617 -0.35691029 -0.45214131 -0.26155273 -0.09286267], Predicted=[0.81230782 0.18769218] X=[ 0.88318104 -0.87554465 0.37855928 0.82984363 0.6512778 0.74634612 0.83869658 0.72648377 -0.38590965 -0.96260494 -0.01159456], Predicted=[0.8450155 0.1549845] X=[ 0.88318104 0.11667379 2.03135009 2.19037712 -0.21845708 0.92276066 2.03887375 1.89681687 -0.18721466 1.49107779 -0.82427568], Predicted=[0.85218395 0.14781605] X=[ 0.40912499 -0.37943543 -1.19159198 0.2580252 -0.035355 1.04037035 0.88576235 0.59273142 -0.12098299 -0.96260494 -0.82427568], Predicted=[0.90659721 0.09340279] X=[-0.4204731 -1.37165388 -0.11727796 -0.72786863 -0.40155916 -1.01779928 -1.16159871 -0.54416359 1.40234528 2.19213 0.80108656], Predicted=[0.47379563 0.52620437] X=[-0.77601514 -0.67710097 -0.53047566 -0.9250474 -0.35578364 0.33471219 0.27390732 -0.24322079 1.99843026 1.92923542 -0.01159456], Predicted=[0.71592271 0.28407729] X=[-0.77601514 0.01745194 -0.44783612 -0.4123826 -0.90508988 -0.78257989 -0.78507254 -1.68105859 -1.37938461 1.31581474 2.10137634], Predicted=[0.30516228 0.69483772] X=[-0.30195909 0.91044854 -2.18326647 -0.98420103 0.10197156 1.33439458 0.13271 -0.61103976 -0.12098299 -0.96260494 -0.41793512], Predicted=[0.91790526 0.08209474] X=[ 0.05358295 -0.67710097 3.93205951 -1.04335466 4.17599283 0.9815655 -0.3614806 -0.27665888 -1.04822629 -0.87497341 -1.06808001], Predicted=[0.99343443 0.00656557] X=[ 1.83129314 -0.37943543 1.28759423 0.19887157 -0.31000812 0.62873642 -0.71447388 -0.2097827 -1.04822629 -1.40076257 1.126159 ], Predicted=[0.63028637 0.36971363] X=[-0.18344508 -0.57787912 0.29591974 -0.94476527 -0.81353884 -0.6649702 -0.8556712 -0.91198256 0.67379698 0.87765711 0.88235467], Predicted=[0.57185201 0.42814799] X=[ 1.4757511 2.20033252 1.12231514 -1.04335466 -0.40155916 -0.72377504 -0.29088194 -0.07603035 0.14394366 -0.61207884 0.31347789], Predicted=[0.96196326 0.03803674] X=[ 0.05358295 -1.27243203 -0.36519658 -0.80674014 -0.58466124 -1.25301866 -1.32632891 -0.90529494 -0.58460464 0.79002558 0.55728222], Predicted=[0.62936382 0.37063618] X=[-1.13155718 -0.57787912 -0.36519658 -0.43210048 -0.40155916 1.98124789 0.13271 -0.63110262 -0.38590965 2.19213 0.23220977], Predicted=[0.61432059 0.38567941] X=[-1.13155718 -0.28021359 -0.53047566 -0.96448315 -0.76776332 0.09949281 -1.3498618 -1.61418241 0.077712 -0.26155273 1.36996334], Predicted=[0.45522043 0.54477957] X=[-2.43521132 0.51356116 -2.76174325 0.02141068 -0.81353884 -0.07692173 0.57983483 -0.10946844 1.07118696 1.05292016 -0.49920323], Predicted=[0.82324739 0.17675261] X=[-0.30195909 -0.57787912 2.03135009 -1.04335466 3.99289075 0.9815655 -0.05555308 -0.27665888 -0.58460464 -1.66365715 -1.14934812], Predicted=[0.992984 0.007016] X=[-1.60561323 -0.47865728 -1.19159198 -0.82645801 -0.08113052 0.2171025 0.53276906 -0.64782166 0.01148034 -0.52444731 -0.09286267], Predicted=[0.89400012 0.10599988] X=[ 0.88318104 -0.0817699 0.04800112 -0.27435747 -0.2642326 -1.01779928 -1.93818394 -1.06579776 -0.8495313 -0.08628968 1.53249956], Predicted=[0.45646494 0.54353506] X=[ 0.17209696 -1.57009756 -0.11727796 0.15943582 0.55972676 -0.78257989 -1.16159871 0.86023613 0.67379698 -0.96260494 -1.06808001], Predicted=[0.93641019 0.06358981] X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909] X=[-0.30195909 -0.37943543 -0.44783612 0.06084644 -0.63043676 -0.5473605 -1.11453294 -0.77154259 -0.38590965 -1.48839409 1.45123145], Predicted=[0.53932967 0.46067033] X=[-0.53898711 -0.18099175 -1.0263129 0.35661459 0.1935226 0.92276066 1.02695966 0.46566668 0.27640699 -0.08628968 -0.82427568], Predicted=[0.89517107 0.10482893] X=[-0.30195909 2.64683082 -2.43118509 -0.76730438 -0.67621228 0.74634612 -0.64387523 -1.14604918 -0.31967798 -1.48839409 1.126159 ], Predicted=[0.8055971 0.1944029] X=[-0.30195909 1.00967039 -0.36519658 -0.68843288 -0.4931102 -1.19421382 -0.87920408 -1.62755765 -0.98199462 -1.05023647 1.61376767], Predicted=[0.64772058 0.35227942] X=[ 0.76466702 -0.57787912 -0.11727796 -0.78702226 -0.035355 -0.37094597 -0.90273697 -0.89526351 -0.71706797 0.96528863 0.63855033], Predicted=[0.64390705 0.35609295] X=[ 1.23872307 -0.0817699 -0.53047566 -0.9250474 -0.53888572 -0.60616535 -0.38501348 -1.05242253 -1.44561627 0.1766049 1.126159 ], Predicted=[0.67452865 0.32547135] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[-1.01304317 -0.67710097 -0.36519658 1.32279054 -0.17268156 -0.42975081 -0.31441482 1.78312737 1.33611362 -0.34918426 -1.55568868], Predicted=[0.94890927 0.05109073] X=[-0.4204731 -0.0817699 -0.6131152 0.90871513 -0.7219878 -1.95867682 -1.32632891 -0.00246655 -0.78329963 -1.13786799 0.55728222], Predicted=[0.74223533 0.25776467] X=[ 1.35723709 0.11667379 1.28759423 1.04674027 -0.4931102 0.27590734 -0.17321751 0.59273142 -0.31967798 -1.31313104 0.23220977], Predicted=[0.7537375 0.2462625] X=[ 1.12020906 1.10889223 -0.6131152 0.69181849 0.60550228 -0.13572658 1.00342678 0.49241715 -0.98199462 -0.61207884 0.31347789], Predicted=[0.90882518 0.09117482] X=[ 0.40912499 -0.77632281 -0.69575474 -0.37294685 -0.08113052 -0.25333627 -0.690941 0.29178862 0.27640699 -1.13786799 -0.90554379], Predicted=[0.92406294 0.07593706] X=[-1.01304317 -0.37943543 0.6264779 -1.0039189 -0.44733468 0.39351704 -0.47914502 -1.28648915 -0.98199462 1.31581474 0.99071215], Predicted=[0.68011457 0.31988543] X=[-1.13155718 0.01745194 0.04800112 -0.55040774 -0.2642326 0.86395581 1.30935429 -0.94542065 0.8062603 0.26423642 0.88235467], Predicted=[0.61826903 0.38173097] X=[-0.53898711 -0.9747665 1.20495468 -0.47153623 6.4189933 1.68722366 0.27390732 0.15803627 -0.8495313 -0.78734189 -0.9868119 ], Predicted=[0.99519745 0.00480255] X=[ 0.29061097 0.91044854 2.77510595 0.81012575 -0.035355 0.80515096 0.39157175 1.16117892 -0.18721466 -0.43681578 -1.47442057], Predicted=[0.97377002 0.02622998] X=[ 0.64615301 -1.17321019 1.28759423 -1.02363678 0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=[0.78360911 0.21639089] X=[-0.30195909 0.51356116 -0.77839428 1.9044679 -0.035355 -0.25333627 0.20330866 1.40193316 -0.71706797 0.26423642 -1.06808001], Predicted=[0.91620177 0.08379823] X=[ 0.527639 -0.9747665 -0.36519658 -1.02363678 -0.08113052 -1.37062835 0.10917712 -0.74479212 0.077712 -0.08628968 0.63855033], Predicted=[0.76529061 0.23470939] X=[-0.30195909 -0.28021359 0.13064066 1.50025143 1.06325748 0.39351704 0.57983483 1.66275025 2.4620519 -0.17392121 -0.58047134], Predicted=[0.87260319 0.12739681] X=[ 0.40912499 0.21589563 -0.28255704 0.45520397 -1.08819196 -1.25301866 -0.64387523 0.57935618 -0.51837298 1.05292016 0.06967355], Predicted=[0.83984322 0.16015678] X=[ 1.23872307 -0.57787912 -0.77839428 -0.35322897 -0.08113052 0.2171025 0.48570329 -0.44384932 -1.31315295 -1.8389202 0.80108656], Predicted=[0.79455236 0.20544764] X=[-1.01304317 -1.37165388 -1.35687106 -0.15605021 -0.44733468 0.09949281 -0.26734905 -0.09943701 -0.91576296 0.70239405 -0.58047134], Predicted=[0.84018979 0.15981021] X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355 -0.25333627 -0.87920408 -0.31009697 1.53480861 0.527131 0.71981845], Predicted=[0.67183986 0.32816014] X=[-1.01304317 0.51356116 0.37855928 0.65238274 -0.2642326 -0.37094597 -0.33794771 0.45897907 1.86596693 -0.08628968 0.394746 ], Predicted=[0.77553226 0.22446774] X=[ 1.59426511 0.01745194 0.70911744 -0.90532952 -0.67621228 -0.31214112 -1.06746717 -0.7782302 -0.6508363 -0.87497341 0.71981845], Predicted=[0.7448134 0.2551866] X=[-0.89452915 -0.28021359 1.20495468 1.85517321 0.28507364 -0.60616535 -1.04393428 1.2681808 -0.78329963 -0.34918426 -1.06808001], Predicted=[0.93442475 0.06557525] X=[ 0.17209696 0.41433932 -0.36519658 0.23830733 -0.9508654 -0.01811689 -0.33794771 -0.80498067 -0.25344632 1.40344626 1.85757201], Predicted=[0.26241202 0.73758798] X=[-0.89452915 0.8112267 2.03135009 1.6974302 -0.08113052 0.39351704 -0.54974368 1.26149319 -0.25344632 0.1766049 -1.23061624], Predicted=[0.94187587 0.05812413] X=[-0.77601514 -0.87554465 0.37855928 -0.25463959 -1.22551852 -0.78257989 -1.32632891 -1.47708625 -0.91576296 -1.13786799 1.61376767], Predicted=[0.36810108 0.63189892] X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492] X=[-0.18344508 -0.37943543 0.13064066 1.32279054 0.1935226 1.68722366 1.56821604 0.99398848 -0.25344632 0.08897337 -0.82427568], Predicted=[0.85418489 0.14581511] X=[ 0.527639 0.21589563 -0.69575474 -0.76730438 -0.035355 -0.19453143 -0.38501348 -0.2465646 -0.05475133 0.43949948 -0.17413078], Predicted=[0.88397447 0.11602553] X=[-0.30195909 2.59721989 -1.0263129 1.9537626 0.4224002 0.33471219 1.02695966 1.52899789 1.07118696 0.43949948 -0.09286267], Predicted=[0.90505181 0.09494819] X=[ 0.40912499 -0.0817699 1.0396756 2.43685057 0.28507364 0.56993158 2.74486032 1.99713113 -0.98199462 0.26423642 -1.31188435], Predicted=[0.93740026 0.06259974] X=[-0.53898711 -0.18099175 -0.28255704 -0.82645801 -0.9508654 -0.13572658 -0.10261885 -0.67791594 0.14394366 -0.17392121 0.06967355], Predicted=[0.80426441 0.19573559] X=[ 1.00169505 1.00967039 0.54383836 -0.86589377 -0.35578364 -0.42975081 0.32097309 -1.14604918 -0.05475133 -1.48839409 1.93884012], Predicted=[0.67958844 0.32041156] X=[ 1.12020906 -0.37943543 -0.11727796 1.14532965 0.37662468 0.39351704 -0.00848731 1.46212172 -1.18068962 0.43949948 -1.39315246], Predicted=[0.94687596 0.05312404] X=[ 1.59426511 0.8112267 -0.36519658 0.23830733 -0.4931102 0.09949281 -0.38501348 -0.04259226 -0.18721466 -1.31313104 1.20742712], Predicted=[0.67729447 0.32270553] X=[-0.53898711 -1.57009756 1.28759423 0.00169281 -0.17268156 0.80515096 0.53276906 0.15803627 1.0049553 -0.43681578 -0.09286267], Predicted=[0.76864024 0.23135976] X=[ 0.05358295 0.21589563 -0.28255704 -1.0039189 0.33084916 -0.6649702 1.12109121 -0.13956272 0.67379698 0.43949948 -0.49920323], Predicted=[0.94522151 0.05477849] X=[ 0.05358295 2.99410727 2.03135009 0.35661459 -0.63043676 -0.37094597 0.72103215 -0.42713028 0.60756531 -0.43681578 1.36996334], Predicted=[0.77602846 0.22397154] X=[-1.13155718 0.61278301 -0.28255704 -0.51097199 -0.4931102 1.27558973 -0.07908597 -1.29317677 -0.6508363 -1.31313104 1.20742712], Predicted=[0.67549187 0.32450813] X=[ 0.17209696 -0.67710097 0.04800112 0.41576822 -0.58466124 -0.25333627 2.69779455 0.42554098 0.21017533 0.61476253 -0.01159456], Predicted=[0.78834546 0.21165454] X=[ 1.35723709 0.41433932 -0.6131152 -1.02363678 0.1935226 -1.40003078 -1.1851316 0.19147436 0.34263866 -1.05023647 -0.82427568], Predicted=[0.9693606 0.0306394] X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=[0.76279697 0.23720303] X=[-0.30195909 -0.0817699 -0.03463842 -0.98420103 -0.17268156 -0.6649702 1.05049255 -0.62775881 0.67379698 -0.26155273 0.15094166], Predicted=[0.86805291 0.13194709] X=[-0.30195909 -0.18099175 1.53551285 0.35661459 0.05619604 0.9815655 1.23875564 0.46232287 -0.18721466 -0.17392121 -0.82427568], Predicted=[0.92604018 0.07395982] X=[ 0.527639 -0.18099175 1.61815239 1.24391904 0.05619604 1.4814067 0.41510463 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=[0.94988177 0.05011823] X=[ 2.66089123 0.51356116 0.37855928 -0.9250474 0.74282884 0.89335823 4.83928716 0.59273142 -0.58460464 1.84160389 -0.82427568], Predicted=[0.97125644 0.02874356] X=[ 1.00169505e+00 -5.77879122e-01 7.09117443e-01 -8.85611643e-01 2.85073639e-01 -1.48823805e+00 -1.20866448e+00 -6.11039762e-01 7.40028640e-01 1.34184656e-03 1.04489089e+00], Predicted=[0.7128242 0.2871758] X=[-0.18344508 -1.27243203 0.37855928 -0.9250474 -0.40155916 -0.90018958 -1.27926314 -1.1928625 -0.6508363 0.35186795 0.71981845], Predicted=[0.62055558 0.37944442] X=[ 1.35723709 0.91044854 -0.1999175 -0.3335111 -0.35578364 -1.89987197 -0.26734905 -0.72472926 -1.90923792 2.01686694 1.28869523], Predicted=[0.70987837 0.29012163] X=[-1.01304317 0.01745194 -0.53047566 -0.45181836 0.01042052 0.86395581 0.20330866 -0.92535779 0.54133365 0.61476253 0.88235467], Predicted=[0.57906806 0.42093194] X=[-0.65750113 -0.47865728 -0.94367336 -0.52083092 -0.31000812 0.09949281 -0.5262108 -0.44384932 0.27640699 0.08897337 0.15094166], Predicted=[0.77591379 0.22408621] X=[ 0.29061097 0.31511748 -1.35687106 -1.06307253 -0.17268156 -0.84138474 0.13271 -0.33015982 -0.38590965 -0.78734189 -0.74300757], Predicted=[0.95609872 0.04390128] X=[-1.84264125 1.15850315 -2.18326647 -1.0039189 -0.4931102 -0.5473605 -0.8556712 -0.67791594 2.06466192 -1.22549952 0.06967355], Predicted=[0.88449588 0.11550412] X=[-1.13155718 -0.0817699 -0.36519658 0.98758664 -0.44733468 -0.25333627 -0.54974368 0.29178862 1.07118696 -0.08628968 -0.01159456], Predicted=[0.66523394 0.33476606] X=[ 0.76466702 0.01745194 0.6264779 -1.0039189 -0.08113052 -1.4294332 -0.29088194 -0.36694172 0.60756531 -0.34918426 -0.17413078], Predicted=[0.90496449 0.09503551] X=[-0.53898711 -0.9747665 1.20495468 2.2889665 0.37662468 1.21678489 1.05049255 2.12419587 -1.37938461 1.05292016 -1.6369568 ], Predicted=[0.95213702 0.04786298] X=[-1.01304317 1.70422329 2.60982687 0.65238274 1.5667882 -1.4294332 0.48570329 0.52585524 -0.98199462 -0.08628968 -0.90554379], Predicted=[0.99076083 0.00923917] X=[-0.30195909 0.31511748 -0.44783612 -0.98420103 -0.4931102 -0.42975081 -0.73800677 -1.89506236 -1.24692128 -0.78734189 2.18264446], Predicted=[0.49896384 0.50103616] X=[ 0.17209696 -0.37943543 -0.11727796 -1.0039189 -0.40155916 0.2171025 -0.3614806 -0.67791594 -0.12098299 -0.61207884 0.55728222], Predicted=[0.81038635 0.18961365] X=[-0.06493106 -1.17321019 0.2132802 -1.0039189 -0.53888572 -0.19453143 -0.94980274 -1.15273679 -1.11445795 0.79002558 0.63855033], Predicted=[0.64375062 0.35624938] X=[ 4.09124986e-01 -1.80991745e-01 -7.78394281e-01 1.20000067e-01 -1.04241644e+00 -9.58994430e-01 -1.96750396e-01 -7.58167351e-01 -3.19677985e-01 1.34184656e-03 1.85757201e+00], Predicted=[0.34051624 0.65948376] X=[-0.4204731 0.41433932 1.20495468 0.31717883 -0.90508988 -1.01779928 -1.1851316 -0.86516923 0.21017533 2.63028763 1.7763039 ], Predicted=[0.24167336 0.75832664] X=[-2.19818329 0.51356116 -1.4395106 -0.96448315 0.14774708 -1.48823805 -0.97333563 -0.7782302 1.93219859 -0.43681578 0.15094166], Predicted=[0.88427548 0.11572452] X=[-0.65750113 0.61278301 -0.03463842 -0.35322897 -0.53888572 -0.95899443 -1.37339468 -0.7782302 1.26988195 0.79002558 1.20742712], Predicted=[0.53312145 0.46687855] X=[-0.18344508 0.01745194 -0.44783612 -0.78702226 -1.54594716 0.04068796 -0.90273697 -1.13267394 0.47510198 -0.87497341 0.96362278], Predicted=[0.49912883 0.50087117] X=[-1.01304317 0.71200485 1.45287331 -1.02363678 -0.76776332 -1.48823805 -0.8556712 -1.24636344 1.79973526 -0.61207884 1.126159 ], Predicted=[0.68842241 0.31157759] X=[-1.25007119 0.21589563 -0.53047566 -0.9250474 -1.45439612 0.56993158 -0.80860543 -1.63424527 1.40234528 0.61476253 1.69503579], Predicted=[0.229403 0.770597] X=[ 1.71277913 -1.17321019 0.29591974 0.29746096 -0.9508654 0.15829765 -0.73800677 -0.3234722 -1.71054293 -1.05023647 1.126159 ], Predicted=[0.48078942 0.51921058] X=[ 1.71277913 -0.77632281 3.35358273 -0.38280579 -0.08113052 -0.13572658 -0.1967504 -0.54416359 0.40887032 -0.61207884 1.36996334], Predicted=[0.55526996 0.44473004] X=[-1.13155718 -0.18099175 -1.0263129 1.20448328 -0.53888572 0.04068796 0.32097309 1.06086466 0.60756531 -0.52444731 -0.82427568], Predicted=[0.88659057 0.11340943] X=[ 0.05358295 -0.47865728 -0.77839428 1.53968719 0.33084916 -0.95899443 -1.04393428 1.39524554 -0.12098299 0.08897337 -0.74300757], Predicted=[0.89455821 0.10544179] X=[-1.25007119 0.01745194 -0.28255704 -0.96448315 -0.90508988 -0.25333627 -0.57327657 -1.50718053 0.87249197 0.96528863 1.61376767], Predicted=[0.3825791 0.6174209] X=[-0.06493106 -0.67710097 -0.1999175 -0.68843288 0.01042052 0.27590734 -0.40854637 -0.91198256 -0.78329963 1.40344626 0.31347789], Predicted=[0.6648785 0.3351215] X=[-0.30195909 -0.0817699 -0.69575474 -1.02363678 -0.58466124 0.04068796 -0.64387523 -1.62087003 -0.18721466 -1.05023647 1.53249956], Predicted=[0.50055437 0.49944563] X=[ 0.29061097 -0.0817699 -0.1999175 2.32840225 0.01042052 1.15798004 2.67426167 1.99713113 -0.78329963 0.61476253 -1.47442057], Predicted=[0.91792405 0.08207595] X=[ 0.527639 -0.28021359 -0.36519658 0.21858945 0.14774708 0.15829765 0.46217041 0.82679804 1.60104027 -0.96260494 -0.74300757], Predicted=[0.8993282 0.1006718] X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173 -1.13806583 -1.18951869 -2.04170125 -0.17392121 0.55728222], Predicted=[0.69966833 0.30033167] X=[-0.65750113 1.30733592 -0.94367336 0.1791537 -0.4931102 -0.72377504 -0.50267791 -0.77154259 0.077712 -0.87497341 1.15866625], Predicted=[0.6533317 0.3466683] X=[-0.53898711 0.51356116 -0.44783612 -0.47153623 -0.2642326 -0.6649702 -1.3498618 -1.24636344 0.47510198 1.31581474 1.69503579], Predicted=[0.38120044 0.61879956] X=[ 1.00169505 -0.18099175 -0.1999175 -1.0039189 -0.12690604 0.68754127 0.39157175 -0.10946844 1.53480861 0.08897337 -0.33666701], Predicted=[0.82728993 0.17271007] X=[ 1.12020906 -0.37943543 -1.27423152 0.06084644 0.01042052 -0.13572658 0.50923618 0.75992186 0.077712 0.61476253 -0.58047134], Predicted=[0.89467899 0.10532101] X=[-1.01304317 -0.18099175 -1.52215014 -1.0039189 0.6512778 0.92276066 0.36803886 -0.16296938 -0.31967798 0.1766049 -1.47442057], Predicted=[0.97124655 0.02875345] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[ 0.76466702 0.51356116 0.37855928 0.45520397 3.67246211 0.80515096 1.42701872 1.03077038 -1.37938461 0.70239405 -0.90554379], Predicted=[0.99049251 0.00950749] X=[-0.53898711 -0.57787912 -0.11727796 -0.29407534 0.01042052 0.86395581 0.41510463 -0.29003411 1.26988195 0.527131 0.55728222], Predicted=[0.63778963 0.36221037] X=[ 0.88318104 2.3987762 1.28759423 1.50025143 -0.53888572 0.09949281 0.41510463 0.59273142 -0.31967798 -0.96260494 1.04489089], Predicted=[0.78937583 0.21062417] X=[ 0.64615301 -0.37943543 -0.94367336 0.8495615 -0.17268156 -0.5473605 -1.3498618 0.45897907 -2.17416458 -1.13786799 -0.66173945], Predicted=[0.90337214 0.09662786] X=[ 0.527639 -0.18099175 -0.1999175 -0.94476527 -0.2642326 0.2171025 0.81516369 -0.74479212 0.01148034 0.1766049 0.71981845], Predicted=[0.73890991 0.26109009] X=[ 0.527639 -0.87554465 -0.69575474 -0.98420103 0.23929812 0.33471219 -0.73800677 -0.06934273 2.26335691 1.49107779 -0.01159456], Predicted=[0.68740069 0.31259931] X=[ 1.59426511 -0.0817699 0.46119882 0.27774308 -0.31000812 0.80515096 1.63881469 1.19461701 0.8062603 0.1766049 -0.82427568], Predicted=[0.91280621 0.08719379] X=[-1.48709922e+00 4.14339320e-01 -3.46384190e-02 1.98871573e-01 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=[0.73704257 0.26295743] X=[ 2.30534919 0.71200485 1.28759423 -1.06307253 -0.44733468 -1.25301866 -1.93818394 -0.67791594 -1.51184794 -1.40076257 -0.01159456], Predicted=[0.91988944 0.08011056] X=[-0.4204731 1.30733592 -0.77839428 1.50025143 0.10197156 -0.6649702 -0.59680945 1.39524554 1.66727194 0.35186795 -0.58047134], Predicted=[0.88770928 0.11229072] X=[-0.18344508 1.90266698 0.04800112 0.49463972 -0.12690604 -0.25333627 0.79163081 0.79335995 0.21017533 0.96528863 -1.06808001], Predicted=[0.96202143 0.03797857] X=[-0.4204731 -0.0817699 -1.19159198 0.04112856 -0.035355 3.68658844 0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512] X=[-0.06493106 1.70422329 -0.44783612 3.87625557 -0.67621228 -0.48855566 -0.38501348 2.98355474 -0.8495313 -0.61207884 0.06967355], Predicted=[0.91914156 0.08085844] X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527 0.33084916 0.68754127 0.27390732 0.25835054 0.67379698 2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752] X=[ 0.29061097 -0.9747665 3.35358273 1.81573746 -0.08113052 0.51112673 0.88576235 1.86337878 1.26988195 1.57870931 -1.23061624], Predicted=[0.83814351 0.16185649] X=[ 0.29061097 -1.07398834 0.37855928 0.19887157 0.28507364 0.80515096 1.02695966 0.59273142 1.07118696 0.26423642 -0.74300757], Predicted=[0.83531065 0.16468935] X=[-0.06493106 1.80344514 -0.6131152 -0.72786863 -0.17268156 -0.42975081 -1.30279603 -0.9654835 1.26988195 0.1766049 1.20742712], Predicted=[0.659795 0.340205] X=[-0.18344508 0.31511748 -2.10062693 -1.0039189 -0.35578364 1.33439458 0.20330866 -0.61103976 -0.05475133 -0.26155273 -0.41793512], Predicted=[0.86002456 0.13997544] X=[-1.3685852 -0.67710097 -0.11727796 -0.94476527 -0.7219878 -0.13572658 -0.38501348 -1.19955012 0.93872363 0.26423642 1.126159 ], Predicted=[0.53310538 0.46689462] X=[-1.25007119 0.11667379 -1.0263129 -0.74758651 -0.9508654 -1.37062835 -0.43207925 -1.54730624 1.33611362 2.63028763 2.83278935], Predicted=[0.15535461 0.84464539] X=[-0.30195909 -0.18099175 -1.0263129 -0.68843288 -0.90508988 0.74634612 -0.29088194 -1.04907872 0.21017533 -0.96260494 0.63855033], Predicted=[0.57289958 0.42710042] X=[-0.77601514 -0.28021359 0.87439652 1.85517321 0.51395124 0.2171025 0.67396638 1.3417446 -0.31967798 0.1766049 -1.06808001], Predicted=[0.91775348 0.08224652] X=[-1.01304317 -1.76854125 -0.77839428 -1.04335466 -0.21845708 -1.19421382 -1.72638797 -0.44384932 2.79321022 1.05292016 -0.17413078], Predicted=[0.62450396 0.37549604] X=[ 1.4757511 2.20033252 1.12231514 -1.04335466 -0.40155916 -0.72377504 -0.29088194 -0.07603035 0.14394366 -0.61207884 0.31347789], Predicted=[0.96196326 0.03803674] X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332 0.9815655 -0.45561214 -1.533931 -1.04822629 -1.40076257 1.93884012], Predicted=[0.25816207 0.74183793] X=[-1.84264125 0.41433932 -0.86103382 0.6425238 -0.90508988 -0.5473605 -0.45561214 -0.78491782 -0.05475133 0.35186795 1.36996334], Predicted=[0.41727181 0.58272819] X=[ 0.527639 0.01745194 0.70911744 1.57912294 -0.2642326 0.80515096 0.81516369 1.7965026 0.60756531 2.8931822 -1.23061624], Predicted=[0.84084975 0.15915025] X=[ 0.17209696 -0.67710097 -0.94367336 -0.25463959 0.10197156 0.15829765 0.69749926 0.15803627 1.0049553 0.00134185 -0.09286267], Predicted=[0.81111641 0.18888359] X=[ 0.64615301 0.21589563 1.28759423 0.35661459 0.4224002 0.80515096 1.16815698 1.12774083 2.19712525 0.79002558 -0.66173945], Predicted=[0.89409844 0.10590156] X=[ 0.29061097 1.10889223 0.46119882 0.92843301 -0.53888572 -0.60616535 1.54468315 0.71310854 -0.91576296 0.26423642 -0.41793512], Predicted=[0.92684089 0.07315911] X=[ 0.17209696 0.01745194 0.46119882 0.45520397 0.23929812 -0.19453143 0.06211135 0.69304568 1.26988195 0.35186795 -0.01159456], Predicted=[0.84187137 0.15812863] X=[-1.01304317 -1.17321019 -0.28255704 0.06084644 -0.12690604 0.45232188 0.34450598 0.3586648 2.92567355 -0.26155273 0.06967355], Predicted=[0.67285722 0.32714278] X=[ 0.17209696 -1.37165388 0.54383836 -0.9250474 -0.4931102 -1.13540897 -1.25573025 -0.97885873 0.01148034 -0.61207884 1.04489089], Predicted=[0.62426702 0.37573298] X=[ 1.94980715 -0.87554465 1.86607101 2.15094136 0.4224002 0.68754127 0.72103215 2.15429015 -0.78329963 1.57870931 -0.9868119 ], Predicted=[0.86289049 0.13710951] X=[-0.53898711 -0.57787912 1.86607101 1.59884082 0.4224002 -0.48855566 0.48570329 1.32836936 -1.37938461 -0.78734189 -1.14934812], Predicted=[0.96852384 0.03147616] X=[-0.18344508 -0.28021359 -0.03463842 -0.68843288 0.51395124 0.9815655 0.81516369 -0.2097827 -1.11445795 -0.08628968 -0.82427568], Predicted=[0.95384062 0.04615938] X=[ 0.17209696 0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=[0.96505575 0.03494425] X=[ 0.05358295 0.01745194 0.6264779 -0.9250474 0.1935226 -1.48823805 -0.05555308 -0.34353506 -0.18721466 1.92923542 0.71981845], Predicted=[0.88674575 0.11325425] X=[-0.30195909 2.79566358 -1.4395106 -0.64899712 -0.035355 -0.42975081 -1.09100005 -0.00915417 -0.45214131 -1.22549952 -1.14934812], Predicted=[0.98795339 0.01204661] X=[-0.06493106 -0.87554465 -0.11727796 0.129859 -1.22551852 1.09917519 1.16815698 -0.17634461 0.40887032 -1.05023647 0.47601411], Predicted=[0.57177444 0.42822556] X=[-0.65750113 0.91044854 -0.44783612 -0.01802507 -0.53888572 0.56993158 0.32097309 -0.64447785 0.67379698 -0.26155273 0.88235467], Predicted=[0.61443979 0.38556021] X=[ 0.29061097 -0.9747665 3.35358273 1.81573746 -0.08113052 0.51112673 0.88576235 1.86337878 1.26988195 1.57870931 -1.23061624], Predicted=[0.83814351 0.16185649] X=[-0.18344508 -0.28021359 0.04800112 1.27349585 0.10197156 -0.31214112 0.53276906 1.52899789 1.66727194 -0.17392121 -0.82427568], Predicted=[0.89757649 0.10242351] X=[-1.13155718 -0.47865728 -0.44783612 0.43548609 0.01042052 0.09949281 0.08564423 0.09784771 0.27640699 0.35186795 0.06967355], Predicted=[0.77830081 0.22169919] X=[-1.96115527 0.56317209 -1.10895244 -0.9250474 -0.58466124 -1.07660412 -1.514592 -1.33999009 1.0049553 -0.08628968 1.45123145], Predicted=[0.63872033 0.36127967] X=[ 1.00169505 0.21589563 -0.86103382 -0.86589377 1.01748196 -0.42975081 -0.00848731 -0.06934273 -0.51837298 1.14055168 -0.58047134], Predicted=[0.94475115 0.05524885] X=[ 1.4757511 0.21589563 -0.1999175 -1.04335466 -0.21845708 0.80515096 -0.3614806 -0.87854447 -1.31315295 -0.34918426 0.47601411], Predicted=[0.79488995 0.20511005] X=[ 0.64615301 0.51356116 0.87439652 0.23830733 0.1935226 0.27590734 2.08593952 0.92376849 -0.45214131 0.26423642 -1.23061624], Predicted=[0.97364561 0.02635439] X=[-0.53898711 -0.0817699 -1.35687106 0.39605034 -0.08113052 1.45200427 1.40348584 0.5860438 0.14394366 -0.17392121 -0.90554379], Predicted=[0.90211839 0.09788161] X=[ 0.527639 1.40655776 0.37855928 0.08056431 -0.035355 -0.37094597 -0.38501348 -0.5107255 0.01148034 -1.05023647 1.69503579], Predicted=[0.70536809 0.29463191] X=[ 0.29061097 0.41433932 0.04800112 1.59884082 -0.31000812 0.62873642 0.27390732 0.32522671 1.26988195 0.08897337 1.61376767], Predicted=[0.25269546 0.74730454] X=[-1.84264125 1.50577961 -1.8527083 -1.04335466 -0.76776332 -1.72345743 -2.05584837 -1.09254824 2.13089358 -0.08628968 0.55728222], Predicted=[0.76473546 0.23526454] X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518] X=[-1.48709922 -0.18099175 -1.27423152 -0.98420103 -0.53888572 -1.01779928 -0.07908597 -0.76485497 0.87249197 -1.22549952 -0.2553989 ], Predicted=[0.89008238 0.10991762] X=[-0.77601514 -1.57009756 -0.6131152 -0.13633233 -0.08113052 1.21678489 0.46217041 0.3586648 2.19712525 -1.05023647 -0.01159456], Predicted=[0.74968841 0.25031159] X=[-0.4204731 -0.9747665 0.04800112 -0.94476527 -0.2642326 0.45232188 0.22684155 -0.94542065 0.87249197 0.87765711 0.80108656], Predicted=[0.53787103 0.46212897] X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808] X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351 -0.24381617 -0.7782302 0.01148034 0.00134185 0.71981845], Predicted=[0.74648806 0.25351194] X=[ 0.05358295 0.01745194 -0.03463842 -1.02363678 -0.31000812 -1.13540897 -0.94980274 -1.21292535 -0.78329963 -0.87497341 0.96362278], Predicted=[0.78909784 0.21090216] X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=[0.75148471 0.24851529] X=[-2.19818329 -0.37943543 -1.0263129 -0.82645801 -0.31000812 -0.25333627 -0.90273697 -1.01898444 3.32306354 1.14055168 0.96362278], Predicted=[0.38386964 0.61613036] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[-0.53898711 0.11667379 0.87439652 -0.55040774 7.05985058 2.33407697 1.00342678 0.05772201 -1.11445795 -0.69971036 -1.14934812], Predicted=[0.99746819 0.00253181] X=[ 0.527639 -0.18099175 -0.03463842 1.06645815 0.51395124 0.74634612 -0.26734905 0.97058182 -0.58460464 0.527131 -0.41793512], Predicted=[0.86678966 0.13321034] X=[-0.89452915 -0.57787912 1.0396756 -0.90532952 5.22882979 -0.07692173 -1.514592 -1.88168712 0.01148034 -1.40076257 2.34518068], Predicted=[0.80023615 0.19976385] X=[-0.30195909 1.20811407 -0.28255704 -0.21520384 -0.35578364 -0.90018958 -0.31441482 -0.6645407 1.13741862 2.10449847 1.69503579], Predicted=[0.47518688 0.52481312] X=[-0.77601514 0.71200485 -0.69575474 2.36783801 0.23929812 -0.42975081 1.02695966 1.81656545 -0.38590965 1.14055168 -0.9868119 ], Predicted=[0.92618032 0.07381968] X=[ 0.88318104 2.59721989 -0.86103382 -0.86589377 -0.76776332 -1.31182351 0.29744021 -0.31009697 -0.98199462 -1.40076257 -0.09286267], Predicted=[0.97495965 0.02504035] X=[-1.25007119 0.01745194 -1.27423152 -1.02363678 0.55972676 -1.66465259 -0.71447388 -0.38366076 0.27640699 0.79002558 -0.78364162], Predicted=[0.95781892 0.04218108] X=[-1.25007119 -0.47865728 -1.0263129 -0.96448315 -0.08113052 -0.84138474 -0.66740811 -0.88523209 0.74002864 0.70239405 0.394746 ], Predicted=[0.75775584 0.24224416] X=[-0.18344508 -1.66931941 -0.6131152 1.65799445 0.33084916 0.51112673 -1.0204014 0.91373707 0.077712 -1.22549952 -0.58047134], Predicted=[0.69035915 0.30964085] X=[-0.18344508 -0.0817699 2.94038503 -1.02363678 5.96123811 0.04068796 -0.76153965 -0.38366076 -1.51184794 -0.52444731 -1.06808001], Predicted=[0.99734027 0.00265973] X=[ 0.88318104 -0.87554465 -0.11727796 2.43685057 0.05619604 -0.19453143 1.28582141 2.04394445 -0.58460464 0.08897337 -0.9868119 ], Predicted=[0.86486363 0.13513637] X=[-0.4204731 0.11667379 1.61815239 -0.9250474 -0.2642326 0.33471219 1.26228852 -0.61103976 0.47510198 0.87765711 -0.09286267], Predicted=[0.86337349 0.13662651] X=[ 1.71277913 -0.18099175 0.6264779 0.55379335 -0.17268156 0.33471219 0.55630195 0.12459818 -0.58460464 -0.96260494 1.20742712], Predicted=[0.62651823 0.37348177] X=[-1.48709922e+00 -7.76322810e-01 2.13280202e-01 -7.67304383e-01 1.01971559e-01 -1.13540897e+00 -3.14414825e-01 -4.03723614e-01 1.99843026e+00 1.34184656e-03 -4.17935119e-01], Predicted=[0.85992714 0.14007286] X=[ 0.40912499 -0.47865728 0.46119882 -0.80674014 -0.58466124 -0.37094597 -0.8556712 -1.079173 0.47510198 0.43949948 1.45123145], Predicted=[0.42776798 0.57223202] X=[-1.13155718 -0.77632281 -0.44783612 -1.06307253 -0.12690604 0.56993158 -0.90273697 -1.23633202 1.40234528 -0.69971036 0.71981845], Predicted=[0.56664168 0.43335832] X=[ 0.29061097 0.8112267 0.54383836 -0.8757527 -0.58466124 -0.5473605 -0.47914502 -1.56736909 0.077712 -0.34918426 2.42644879], Predicted=[0.4221789 0.5778211] X=[-0.89452915 -1.17321019 -0.53047566 1.22420116 0.83437988 1.62841881 0.55630195 1.7965026 3.12436854 -0.52444731 -1.31188435], Predicted=[0.88215264 0.11784736] X=[-0.18344508 -0.47865728 -0.1999175 -0.84617589 0.01042052 -0.31214112 -0.99686851 -0.47728741 0.93872363 1.31581474 0.15094166], Predicted=[0.74332532 0.25667468] X=[ 0.17209696 0.61278301 0.46119882 0.10028219 0.92593092 0.45232188 0.55630195 0.52919905 -0.51837298 0.35186795 -0.82427568], Predicted=[0.96495665 0.03504335] X=[ 0.64615301 -0.37943543 0.70911744 1.50025143 0.92593092 0.74634612 1.40348584 1.29493128 -1.97546959 -0.61207884 -1.31188435], Predicted=[0.96349894 0.03650106] X=[ 0.17209696 -0.37943543 0.2132802 -0.29407534 1.70411476 -1.48823805 -0.12615174 0.05772201 0.93872363 -1.05023647 0.23220977], Predicted=[0.92960087 0.07039913] X=[-0.18344508 -0.28021359 3.35358273 2.56501677 0.37662468 0.51112673 0.72103215 2.13088348 2.13089358 -0.34918426 -0.58047134], Predicted=[0.83125581 0.16874419] X=[ 0.17209696 -1.57009756 -0.36519658 0.77069 -0.31000812 0.33471219 -0.94980274 0.53923048 0.01148034 -0.96260494 -0.58047134], Predicted=[0.73746726 0.26253274] X=[-1.72412724 2.49799805 -1.4395106 -0.72786863 -0.44733468 -0.07692173 -0.24381617 -1.82818618 0.077712 0.35186795 2.18264446], Predicted=[0.54998824 0.45001176] X=[-2.19818329 0.71200485 -0.69575474 0.27774308 -0.67621228 -0.6649702 -0.5262108 -0.54081978 1.33611362 -0.78734189 0.63855033], Predicted=[0.68834455 0.31165545] X=[-0.53898711 0.41433932 -0.69575474 -0.27435747 0.4224002 -0.42975081 -0.00848731 -0.7748864 0.54133365 0.08897337 1.53249956], Predicted=[0.63458342 0.36541658] X=[-0.4204731 -0.47865728 -0.03463842 1.46081568 -0.17268156 -0.60616535 0.01504558 0.97726944 1.07118696 0.61476253 -0.09286267], Predicted=[0.69544709 0.30455291] X=[-0.4204731 -1.17321019 -0.03463842 -1.06307253 -0.85931436 -0.72377504 -1.49105911 -1.079173 0.74002864 -0.87497341 0.71981845], Predicted=[0.5992141 0.4007859] X=[-0.18344508 -1.57009756 0.2132802 -0.80674014 -0.31000812 0.45232188 -0.31441482 -0.58094548 -0.78329963 1.57870931 -0.33666701], Predicted=[0.75622581 0.24377419] X=[ 1.71277913 0.01745194 0.95703606 0.27774308 0.60550228 -0.19453143 0.01504558 1.06086466 0.93872363 2.45502457 0.55728222], Predicted=[0.81308202 0.18691798] X=[ 4.08305938 -1.07398834 1.12231514 -0.98420103 -0.40155916 -1.78226228 -2.47944031 -0.04259226 -1.97546959 -1.8389202 -0.74300757], Predicted=[0.92817915 0.07182085] X=[-0.06493106 -0.0817699 -1.77006876 -1.0039189 -0.2642326 3.03973513 0.69749926 -0.67791594 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.80304956 0.19695044] X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534 0.05619604 0.39351704 -0.1967504 -0.40037981 -0.45214131 0.61476253 0.394746 ], Predicted=[0.72139753 0.27860247] X=[ 0.40912499 -0.47865728 -0.11727796 0.41576822 0.55972676 0.68754127 1.12109121 0.52585524 0.01148034 -0.78734189 -0.49920323], Predicted=[0.89465012 0.10534988] X=[ 2.77940524 -1.27243203 2.85774549 -0.94476527 0.01042052 -0.78257989 -0.1967504 0.25835054 -1.11445795 -0.34918426 -0.09286267], Predicted=[0.94010298 0.05989702] X=[-0.18344508 -0.0817699 -0.03463842 -0.55040774 -0.53888572 -1.54704289 -2.19704569 -0.86516923 -0.71706797 -0.78734189 -0.01159456], Predicted=[0.82082407 0.17917593] X=[ 0.40912499 -0.67710097 0.2132802 1.83545534 -0.035355 1.92244304 1.05049255 1.73631404 0.40887032 2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376] X=[ 1.83129314 2.99410727 -0.53047566 1.13547071 -0.58466124 0.09949281 -0.5262108 0.62616951 -1.31315295 -0.87497341 0.23220977], Predicted=[0.89012325 0.10987675] X=[-1.25007119 0.41433932 -0.1999175 -0.72786863 0.14774708 -0.60616535 0.34450598 -1.12264251 1.66727194 2.10449847 1.36996334], Predicted=[0.48805792 0.51194208] X=[-1.84264125 -0.37943543 -0.03463842 -1.0039189 -0.58466124 -0.60616535 -0.97333563 -1.14604918 2.6607469 -0.96260494 0.394746 ], Predicted=[0.62266298 0.37733702] X=[-0.77601514 0.41433932 0.95703606 -0.68843288 -0.76776332 0.09949281 -1.04393428 -1.35336532 0.40887032 0.96528863 1.53249956], Predicted=[0.42808218 0.57191782] X=[-0.18344508 -1.17321019 -0.11727796 1.20448328 -0.4931102 -1.01779928 0.41510463 0.88029898 -2.04170125 -1.13786799 -1.23061624], Predicted=[0.94292683 0.05707317] X=[-0.77601514 -1.76854125 0.6264779 -1.06307253 -0.2642326 -1.07660412 -1.46752623 -1.38680341 -0.31967798 0.61476253 0.71981845], Predicted=[0.57112408 0.42887592] X=[ 0.17209696 0.01745194 0.2132802 -1.06307253 -0.4931102 -1.60584774 -1.60872354 -1.3801158 -0.6508363 -0.26155273 1.28869523], Predicted=[0.67851982 0.32148018] X=[ 1.23872307 -0.9747665 -0.03463842 -1.02363678 -0.58466124 -0.90018958 -1.56165777 -0.61103976 -0.45214131 -0.96260494 -0.01159456], Predicted=[0.80777636 0.19222364] X=[ 0.76466702 0.61278301 -0.44783612 -0.47153623 -0.81353884 0.62873642 -0.90273697 -1.48711768 0.077712 0.08897337 2.18264446], Predicted=[0.19502271 0.80497729] X=[-2.07966928 -0.18099175 -0.03463842 -1.04335466 -0.85931436 0.62873642 -0.59680945 -1.52724338 1.07118696 -0.52444731 0.71981845], Predicted=[0.57493118 0.42506882] X=[-3.50183743 -0.5282682 0.54383836 -0.43210048 -0.7219878 -0.37094597 -0.47914502 -1.68105859 2.52828357 -1.13786799 1.85757201], Predicted=[0.29869453 0.70130547] X=[ 0.527639 0.41433932 -0.69575474 0.15943582 0.46817572 0.68754127 0.97989389 0.69304568 -0.71706797 -0.17392121 -1.39315246], Predicted=[0.96742085 0.03257915] X=[-0.89452915 0.21589563 1.12231514 -0.98420103 0.14774708 0.86395581 1.14462409 -0.44384932 0.01148034 -0.34918426 -0.82427568], Predicted=[0.9581779 0.0418221] X=[ 0.64615301 -0.67710097 3.84941997 1.16504753 -0.35578364 2.45168666 1.05049255 1.25480557 -1.5780796 -0.08628968 -1.23061624], Predicted=[0.93969172 0.06030828] X=[-0.65750113 0.91044854 1.45287331 -0.01802507 0.10197156 -0.01811689 0.17977578 0.09116009 -0.58460464 4.5581812 -0.01159456], Predicted=[0.86127566 0.13872434] X=[ 0.88318104 -0.87554465 0.6264779 -1.04335466 -0.2642326 0.15829765 0.10917712 -1.11261109 -1.77677459 -0.61207884 0.71981845], Predicted=[0.77102357 0.22897643] X=[-1.48709922 -0.32982451 -0.11727796 -1.04335466 0.05619604 -0.6649702 0.32097309 -0.44384932 -0.45214131 -0.61207884 -0.9868119 ], Predicted=[0.97315786 0.02684214] X=[ 3.25346129e+00 -4.78657278e-01 5.43838363e-01 -9.64483150e-01 -8.11305203e-02 -9.58994430e-01 -7.90859669e-02 -1.09468437e-01 -1.51184794e+00 1.34184656e-03 3.13477887e-01], Predicted=[0.88366901 0.11633099] X=[-0.4204731 -0.87554465 0.04800112 -0.94476527 -0.76776332 0.2171025 -0.5262108 -1.50049291 0.14394366 1.66634084 1.61376767], Predicted=[0.26630846 0.73369154] X=[ 1.23872307 -0.87554465 -0.6131152 -0.84617589 -0.31000812 -1.60584774 0.10917712 0.05772201 -0.91576296 2.19213 -0.58047134], Predicted=[0.90055328 0.09944672] X=[ 0.64615301 -0.0817699 -0.1999175 -0.78702226 -1.45439612 -1.19421382 0.10917712 -1.03235968 -1.04822629 1.40344626 1.20742712], Predicted=[0.54580136 0.45419864] X=[-0.30195909 1.00967039 0.2132802 0.55379335 0.69705332 0.39351704 1.78001201 1.19461701 0.8062603 0.61476253 -0.90554379], Predicted=[0.97058078 0.02941922] X=[-0.18344508 0.31511748 -0.03463842 -0.86589377 -0.58466124 -1.37062835 -1.514592 -1.13267394 0.67379698 1.40344626 1.61376767], Predicted=[0.48467018 0.51532982] X=[-1.96115527 -0.77632281 -0.53047566 -0.62927925 0.05619604 -1.13540897 -1.06746717 -0.56088263 1.66727194 0.35186795 -0.33666701], Predicted=[0.81077393 0.18922607] X=[ 0.88318104 0.11667379 -0.36519658 -0.39266473 0.23929812 -0.5473605 0.17977578 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=[0.91358092 0.08641908] X=[ 0.29061097 2.49799805 -0.77839428 -1.10250829 -0.76776332 -0.37094597 -1.23219737 -0.34353506 -0.18721466 -1.48839409 -1.14934812], Predicted=[0.97935635 0.02064365] X=[ 1.72096961e-01 -3.79435433e-01 -2.82557040e-01 -4.32100480e-01 -2.64232600e-01 3.34712191e-01 1.75647912e+00 -4.43849321e-01 6.07565312e-01 1.34184656e-03 1.04489089e+00], Predicted=[0.65367291 0.34632709] X=[ 1.71277913 2.10111067 0.79175698 -0.76730438 -0.44733468 -0.19453143 -0.5262108 0.12459818 0.27640699 -0.17392121 0.15094166], Predicted=[0.9420569 0.0579431] X=[ 0.17209696 0.31511748 1.53551285 -0.9250474 -0.76776332 -1.78226228 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=[0.9134027 0.0865973] X=[-1.01304317 -0.87554465 -0.6131152 -0.98420103 -0.31000812 -0.31214112 -0.80860543 -1.35336532 0.87249197 -0.69971036 1.53249956], Predicted=[0.48435601 0.51564399] X=[-0.77601514 2.49799805 -2.59646417 -1.08279041 -0.4931102 -1.72345743 -1.3498618 -0.56422644 0.34263866 -1.22549952 -0.82427568], Predicted=[0.97409414 0.02590586] X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903] X=[ 0.17209696 -0.47865728 -0.44783612 -0.72786863 0.33084916 -1.13540897 -1.09100005 -0.10278082 -0.05475133 0.61476253 -0.9868119 ], Predicted=[0.93056578 0.06943422] X=[-0.65750113 -0.0817699 -0.86103382 -0.68843288 0.05619604 -1.31182351 -0.90273697 -0.14290653 0.60756531 -0.52444731 -0.58047134], Predicted=[0.9374224 0.0625776] X=[ 0.17209696 -0.77632281 0.29591974 -0.86589377 -0.7219878 -0.5473605 -0.05555308 -0.27665888 0.60756531 1.05292016 -0.2553989 ], Predicted=[0.80435216 0.19564784] X=[-0.18344508 -1.07398834 0.29591974 -0.86589377 -0.31000812 -0.07692173 -0.31441482 -0.61103976 0.47510198 0.96528863 0.23220977], Predicted=[0.70307543 0.29692457] X=[-0.30195909 0.8112267 1.12231514 -0.98420103 4.54219699 -0.5473605 -0.33794771 -0.43047409 -0.6508363 0.61476253 -0.33666701], Predicted=[0.99119667 0.00880333] X=[ 0.40912499 -0.28021359 -1.19159198 0.31717883 -0.08113052 0.92276066 0.79163081 0.79335995 -0.18721466 -0.43681578 -1.06808001], Predicted=[0.9263534 0.0736466] X=[-0.77601514 -0.67710097 0.04800112 0.04112856 -0.7219878 0.04068796 -1.11453294 -0.87854447 0.87249197 -0.34918426 1.61376767], Predicted=[0.29232475 0.70767525] X=[ 0.527639 -0.18099175 -0.03463842 1.06645815 0.51395124 0.74634612 -0.26734905 0.97058182 -0.58460464 0.527131 -0.41793512], Predicted=[0.86678966 0.13321034] X=[ 0.29061097 0.91044854 -0.11727796 -0.98420103 -0.40155916 -0.48855566 -0.29088194 -0.74479212 0.01148034 1.14055168 1.20742712], Predicted=[0.76967156 0.23032844] X=[ 2.54237721 0.11667379 0.04800112 1.12561178 -0.7219878 -0.07692173 0.90929523 1.01405133 -0.38590965 -0.17392121 0.06967355], Predicted=[0.72022846 0.27977154] X=[ 0.76466702 0.61278301 -0.77839428 -0.50111305 -0.67621228 -1.78226228 -2.45590743 -1.01898444 -1.18068962 -1.13786799 1.04489089], Predicted=[0.7176103 0.2823897] X=[-1.60561323 -1.57009756 -0.03463842 -1.06307253 -0.35578364 -0.72377504 -0.17321751 -0.79829306 0.40887032 -0.34918426 -0.58047134], Predicted=[0.86865351 0.13134649] X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326] X=[ 1.12020906 -0.57787912 0.37855928 0.77069 0.60550228 -0.42975081 -0.92626985 0.89367421 -0.45214131 -0.17392121 -0.41793512], Predicted=[0.89114376 0.10885624] X=[ 1.00169505 -0.0817699 0.13064066 -0.21520384 -0.7219878 -0.31214112 -0.50267791 -0.67791594 -0.51837298 -0.61207884 1.36996334], Predicted=[0.5420203 0.4579797] X=[ 0.05358295 -0.9747665 0.2132802 -1.0039189 -0.44733468 0.27590734 -0.50267791 -0.2097827 0.54133365 4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545] X=[-0.77601514 0.71200485 -0.1999175 -0.74758651 -0.44733468 0.09949281 -1.09100005 -1.55399385 0.54133365 0.35186795 1.85757201], Predicted=[0.3875397 0.6124603] X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164 0.10197156 0.27590734 0.74456503 -0.07603035 2.99190522 0.43949948 -0.41793512], Predicted=[0.83528073 0.16471927] X=[ 2.89791925 -0.77632281 -0.03463842 -0.9250474 0.1935226 -0.42975081 0.93282812 0.45897907 -0.18721466 -0.52444731 -1.23061624], Predicted=[0.95166659 0.04833341] X=[-1.84264125 2.99410727 -2.18326647 0.10028219 -0.12690604 -0.07692173 0.25037443 0.12459818 1.0049553 0.70239405 -0.66173945], Predicted=[0.95245189 0.04754811] X=[-0.4204731 1.10889223 3.93205951 -1.02363678 7.83803442 -1.25301866 -1.514592 -0.14290653 -0.71706797 0.35186795 -0.82427568], Predicted=[9.99225781e-01 7.74219364e-04] X=[-0.4204731 -0.28021359 1.37023377 0.23830733 0.05619604 1.09917519 1.07402544 0.56598095 -0.12098299 -0.34918426 -1.06808001], Predicted=[0.94708945 0.05291055] X=[-0.65750113 -1.27243203 0.04800112 0.98758664 0.1935226 -0.60616535 -0.99686851 1.17455416 0.14394366 0.00134185 -0.41793512], Predicted=[0.90173693 0.09826307] X=[-0.18344508 0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702 -1.27926314 -1.04573491 -0.31967798 -1.13786799 0.96362278], Predicted=[0.7676324 0.2323676] X=[ 1.35723709 -0.28021359 -1.68742922 2.13122349 -0.44733468 0.80515096 1.89767644 1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=[0.86741104 0.13258896] X=[-1.3685852 -0.67710097 -0.77839428 -0.80674014 0.05619604 1.45200427 1.19168986 0.32522671 3.05813688 2.01686694 -0.33666701], Predicted=[0.81492821 0.18507179] X=[-0.18344508 -0.77632281 0.6264779 0.53407548 -0.08113052 0.86395581 0.65043349 0.45897907 -0.31967798 0.79002558 -0.58047134], Predicted=[0.82969055 0.17030945] X=[ 0.88318104 0.21589563 0.29591974 -0.94476527 1.88721684 -0.48855566 0.90929523 0.11791056 -0.6508363 0.08897337 -0.58047134], Predicted=[0.98372245 0.01627755] X=[ 0.527639 -0.77632281 -0.36519658 2.66360616 -0.31000812 1.98124789 2.32126838 2.12085206 -0.58460464 -0.08628968 -1.06808001], Predicted=[0.8104234 0.1895766] X=[-0.53898711 -1.37165388 -0.44783612 0.29746096 0.51395124 -0.84138474 -1.32632891 0.07444105 0.47510198 -1.13786799 -0.41793512], Predicted=[0.81917885 0.18082115] X=[-0.65750113 -0.18099175 1.28759423 -0.96448315 0.28507364 -0.07692173 -0.10261885 -0.54416359 -1.31315295 1.05292016 -0.58047134], Predicted=[0.9527033 0.0472967] X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295 0.01042052 0.2171025 0.29744021 0.22825626 2.72697856 -0.43681578 0.06967355], Predicted=[0.68297972 0.31702028] X=[-0.65750113 -0.0817699 -0.36519658 1.14532965 -0.08113052 1.39319943 1.35642006 1.2681808 -0.31967798 -0.78734189 -1.39315246], Predicted=[0.95410546 0.04589454] X=[-1.25007119 0.61278301 -1.4395106 0.12000007 -0.40155916 -0.5473605 -0.5262108 0.29178862 1.79973526 -0.34918426 -0.41793512], Predicted=[0.87132754 0.12867246] X=[ 0.76466702 -0.47865728 1.28759423 0.2580252 0.14774708 1.51080912 1.66234758 0.02428392 -0.31967798 -1.66365715 0.47601411], Predicted=[0.79329365 0.20670635] X=[ 0.05358295 -0.87554465 1.28759423 0.04112856 -0.44733468 0.80515096 0.79163081 -0.27665888 0.077712 -1.92655172 0.80108656], Predicted=[0.71152394 0.28847606] X=[ 0.40912499 -0.0817699 -0.44783612 1.73686595 0.01042052 -1.72345743 -2.29117723 0.87695517 -0.12098299 -0.87497341 0.31347789], Predicted=[0.72216344 0.27783656] X=[ 0.40912499 -0.18099175 0.87439652 0.13971794 -0.85931436 -0.60616535 -0.29088194 -0.34353506 -1.11445795 -1.31313104 0.47601411], Predicted=[0.78441344 0.21558656] X=[-1.25007119 -0.9747665 -0.44783612 -1.0039189 -0.53888572 -1.54704289 -1.04393428 -1.03904729 0.14394366 0.26423642 0.55728222], Predicted=[0.7463622 0.2536378] X=[ 1.4757511 -0.77632281 0.54383836 -0.86589377 -0.40155916 -0.95899443 -1.20866448 -0.64447785 -0.45214131 0.43949948 0.55728222], Predicted=[0.69022151 0.30977849] X=[-0.53898711 -1.17321019 0.87439652 -1.02363678 0.23929812 0.2171025 -0.38501348 -1.15273679 -0.51837298 2.27976152 0.63855033], Predicted=[0.62013163 0.37986837] X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313] X=[-1.25007119 -0.37943543 -0.44783612 -0.98420103 -0.35578364 0.27590734 -1.46752623 -2.31303846 -0.58460464 -1.75128867 2.75152124], Predicted=[0.27905676 0.72094324] X=[ 0.17209696 -1.17321019 3.27094319 -1.06307253 4.22176835 1.33439458 0.27390732 -0.14290653 -0.71706797 -1.66365715 -1.06808001], Predicted=[0.99315682 0.00684318] X=[-0.30195909 0.11667379 3.27094319 -0.82645801 -0.85931436 -0.84138474 -1.09100005 -1.34667771 -0.45214131 -0.08628968 1.53249956], Predicted=[0.65353425 0.34646575] X=[-1.48709922 1.30733592 -0.94367336 0.13971794 0.1935226 0.51112673 0.36803886 -0.31009697 0.74002864 -0.78734189 -0.01159456], Predicted=[0.86857642 0.13142358] X=[-0.18344508 -1.27243203 -0.36519658 -0.27435747 0.55972676 -0.42975081 -0.78507254 0.19147436 2.19712525 -0.43681578 -0.2553989 ], Predicted=[0.78714641 0.21285359] X=[-0.30195909 -1.47087572 -0.28255704 -0.29407534 0.55972676 0.68754127 -0.17321751 0.19147436 2.13089358 -0.34918426 -0.17413078], Predicted=[0.754587 0.245413] X=[-0.18344508 -0.37943543 -0.1999175 -0.80674014 -0.08113052 0.09949281 -0.59680945 -1.30320819 0.67379698 -0.26155273 1.93884012], Predicted=[0.39468173 0.60531827] X=[ 0.05358295 1.00967039 -0.69575474 0.67210061 -0.2642326 -0.42975081 1.23875564 1.02742657 0.60756531 1.05292016 -1.06808001], Predicted=[0.93521869 0.06478131] X=[-0.77601514 0.71200485 -2.51382463 -1.02363678 0.83437988 -0.37094597 -0.43207925 -0.2097827 0.21017533 0.43949948 -1.14934812], Predicted=[0.96929665 0.03070335] X=[ 2.06832116 2.69644174 0.13064066 1.80587852 0.51395124 0.01128554 5.36877709 2.03056922 -0.98199462 1.22818321 0.394746 ], Predicted=[0.96830272 0.03169728] X=[ 1.12020906 0.21589563 3.35358273 -0.90532952 -0.58466124 -0.13572658 0.41510463 -1.01229682 0.67379698 0.26423642 1.85757201], Predicted=[0.53324933 0.46675067] X=[ 0.64615301 0.11667379 -0.36519658 -0.94476527 -0.035355 1.04037035 0.97989389 -0.14290653 1.0049553 1.66634084 -0.01159456], Predicted=[0.80459511 0.19540489] X=[-1.3685852 0.41433932 0.37855928 -0.32365216 -0.58466124 -0.72377504 -1.04393428 -1.01229682 1.53480861 -0.61207884 1.04489089], Predicted=[0.5578112 0.4421888] X=[-0.4204731 -0.18099175 -0.1999175 -1.0039189 -0.53888572 1.39319943 0.15624289 -1.533931 -0.18721466 0.43949948 1.53249956], Predicted=[0.4093452 0.5906548] X=[ 1.59426511 -0.9747665 -0.44783612 0.41576822 -0.4931102 0.33471219 0.03857846 0.39210289 -0.98199462 -1.05023647 -0.33666701], Predicted=[0.78601267 0.21398733] X=[ 0.40912499 -0.37943543 -0.77839428 -0.9250474 -0.035355 -1.01779928 0.53276906 -0.69129117 0.40887032 0.35186795 0.55728222], Predicted=[0.75639934 0.24360066] X=[-1.3685852 0.41433932 -1.27423152 -0.98420103 -0.76776332 -0.5473605 -0.80860543 -1.14604918 1.66727194 -1.05023647 0.394746 ], Predicted=[0.70087265 0.29912735] X=[-0.4204731 -0.67710097 0.29591974 -0.76730438 0.10197156 2.04005274 -0.00848731 -0.7782302 0.93872363 2.27976152 0.71981845], Predicted=[0.45061993 0.54938007] X=[-1.25007119 0.01745194 -0.53047566 -0.74758651 0.37662468 -0.31214112 0.41510463 -0.87854447 2.26335691 -0.61207884 1.53249956], Predicted=[0.62943356 0.37056644] X=[-0.53898711 1.20811407 -1.19159198 -0.62927925 -0.58466124 -0.42975081 -0.33794771 -1.21292535 0.21017533 0.43949948 1.7763039 ], Predicted=[0.5415557 0.4584443] X=[-2.19818329 -0.37943543 -1.19159198 -0.27435747 -0.12690604 -1.07660412 -0.87920408 0.11791056 3.19060021 0.70239405 -0.41793512], Predicted=[0.80919302 0.19080698] X=[ 3.72751734 -0.77632281 0.46119882 -0.98420103 0.1935226 -0.95899443 0.32097309 -0.00915417 -1.24692128 -0.61207884 -0.09286267], Predicted=[0.90066815 0.09933185] X=[ 0.29061097 -0.37943543 0.04800112 -1.02363678 -0.035355 -1.72345743 -0.14968462 -0.90529494 -0.18721466 -0.26155273 0.55728222], Predicted=[0.82619117 0.17380883] X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909] X=[-0.65750113 0.41433932 -1.35687106 2.23967181 0.6512778 0.92276066 1.21522275 1.71625119 -0.38590965 -0.08628968 -1.39315246], Predicted=[0.93355867 0.06644133] X=[ 0.40912499 -0.18099175 0.54383836 -0.01802507 0.05619604 0.9815655 0.79163081 0.56932476 -0.05475133 0.35186795 -0.82427568], Predicted=[0.92711245 0.07288755] X=[ 0.527639 -0.77632281 -0.6131152 -0.94476527 -0.2642326 0.04068796 -0.3614806 -0.5508512 1.0049553 -0.43681578 0.23220977], Predicted=[0.70911689 0.29088311] X=[ 1.35723709 -0.0817699 -0.77839428 -1.02363678 -0.08113052 -0.90018958 -0.8556712 -0.37697314 0.60756531 -0.61207884 0.31347789], Predicted=[0.82895467 0.17104533] X=[-0.77601514 1.90266698 -1.19159198 0.37633246 -0.76776332 -0.6649702 0.08564423 -0.67791594 0.21017533 -0.34918426 1.45123145], Predicted=[0.60611459 0.39388541] X=[-0.30195909 -1.07398834 0.37855928 -0.96448315 -0.63043676 -0.42975081 -0.62034234 -0.87854447 0.40887032 0.527131 0.71981845], Predicted=[0.62758717 0.37241283] X=[ 0.29061097 -0.47865728 -0.44783612 -0.88561164 0.01042052 -0.13572658 -0.83213831 -1.35670913 -0.45214131 -1.57602562 1.20742712], Predicted=[0.61511168 0.38488832] X=[-0.30195909 0.01745194 -0.44783612 0.41576822 0.28507364 1.15798004 1.70941335 0.72648377 -0.6508363 0.527131 -1.31188435], Predicted=[0.95222186 0.04777814] X=[-0.53898711 1.30733592 -2.67910371 -0.05746082 0.10197156 -0.90018958 -1.60872354 -0.13621891 0.01148034 -0.61207884 -0.41793512], Predicted=[0.91156338 0.08843662] X=[-0.30195909 -0.67710097 1.28759423 2.31854331 -0.17268156 0.33471219 0.46217041 1.89681687 0.60756531 -0.87497341 -1.47442057], Predicted=[0.89300041 0.10699959] X=[-0.4204731 0.01745194 -0.6131152 0.47492185 -0.2642326 0.51112673 0.01504558 0.52585524 0.87249197 -1.05023647 -0.2553989 ], Predicted=[0.8561116 0.1438884] X=[ 1.83129314 -0.87554465 0.70911744 -0.94476527 0.05619604 -1.54704289 -0.87920408 -0.00915417 -0.8495313 1.40344626 0.47601411], Predicted=[0.87809478 0.12190522] X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361] X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[ 1.12020906 1.20811407 -0.6131152 0.61294698 0.60550228 -0.19453143 0.93282812 0.49241715 -0.98199462 -0.52444731 0.31347789], Predicted=[0.91830257 0.08169743] X=[ 0.05358295 2.3987762 1.70079193 0.29746096 -0.44733468 -0.72377504 0.72103215 -0.45388075 0.47510198 -0.17392121 1.36996334], Predicted=[0.7553138 0.2446862] X=[-1.25007119 0.21589563 0.37855928 -0.29407534 -0.31000812 -0.78257989 -1.23219737 -1.47039863 0.27640699 0.79002558 2.10137634], Predicted=[0.32993606 0.67006394] X=[ 0.17209696 -0.47865728 0.70911744 -0.25463959 -0.17268156 0.09949281 0.13271 0.38541527 2.06466192 0.87765711 -0.2553989 ], Predicted=[0.79098577 0.20901423] X=[-0.65750113 0.51356116 0.70911744 2.13122349 -0.40155916 1.27558973 0.74456503 1.60924931 0.47510198 0.70239405 -0.90554379], Predicted=[0.84296624 0.15703376] X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046] X=[-0.89452915 -0.87554465 0.29591974 -0.74758651 -0.21845708 -0.6649702 -0.92626985 -0.83507495 -0.05475133 0.08897337 0.31347789], Predicted=[0.7747473 0.2252527] X=[-0.30195909 0.71200485 0.13064066 -0.0771787 0.78860436 -0.25333627 0.27390732 0.44894764 -0.58460464 -0.17392121 -0.90554379], Predicted=[0.97902064 0.02097936] X=[ 0.40912499 -0.87554465 0.46119882 -1.02363678 -0.44733468 -0.19453143 -1.25573025 -0.74479212 -0.18721466 0.08897337 -0.01159456], Predicted=[0.77074387 0.22925613] X=[ 1.12020906 0.41433932 -0.03463842 0.79040787 -0.67621228 0.68754127 1.30935429 0.96723801 -0.78329963 0.79002558 -0.74300757], Predicted=[0.8878718 0.1121282] X=[-0.65750113 -1.57009756 0.2132802 -0.84617589 -0.08113052 0.68754127 0.17977578 -0.87854447 0.54133365 2.19213 0.71981845], Predicted=[0.46946984 0.53053016] X=[-1.01304317 -0.77632281 0.37855928 -1.0039189 -0.53888572 0.09949281 -0.80860543 -1.7980919 -0.51837298 0.26423642 1.7763039 ], Predicted=[0.39199572 0.60800428] X=[-0.18344508 0.31511748 -0.28255704 -0.84617589 -0.35578364 -1.01779928 -0.1967504 -0.41041123 1.13741862 1.22818321 0.06967355], Predicted=[0.81728476 0.18271524] X=[-0.18344508 -0.9747665 0.29591974 -1.0039189 -0.85931436 0.39351704 -0.31441482 -1.55065005 0.34263866 -1.05023647 1.85757201], Predicted=[0.33662557 0.66337443] X=[ 0.05358295 -1.17321019 -0.28255704 0.63266486 0.51395124 0.86395581 1.09755832 1.26149319 1.33611362 -0.96260494 -0.74300757], Predicted=[0.91240754 0.08759246] X=[-0.18344508 -0.37943543 -0.6131152 -0.19548596 -0.7219878 -1.19421382 -1.04393428 -1.19620631 -0.25344632 -0.96260494 1.7763039 ], Predicted=[0.39031554 0.60968446] X=[ 0.88318104 0.31511748 -0.6131152 -0.9250474 1.24635956 0.27590734 0.43863752 -0.07603035 -0.58460464 -0.26155273 -0.58047134], Predicted=[0.96663179 0.03336821] X=[ 0.40912499 4.03593663 -1.0263129 0.61294698 1.109033 -0.13572658 0.79163081 1.02742657 -1.24692128 0.527131 -1.14934812], Predicted=[0.99396713 0.00603287] X=[ 0.05358295 0.01745194 -0.28255704 -0.94476527 0.05619604 0.62873642 -0.14968462 -0.74479212 1.07118696 -0.96260494 0.47601411], Predicted=[0.76041391 0.23958609] X=[-0.4204731 -0.0817699 -0.6131152 0.35661459 -0.17268156 -0.84138474 -0.12615174 0.6997333 1.60104027 1.31581474 -0.58047134], Predicted=[0.83969578 0.16030422] X=[ 0.05358295 -0.67710097 -0.03463842 -0.90532952 -0.53888572 0.74634612 -0.05555308 -1.3801158 0.40887032 -0.69971036 1.69503579], Predicted=[0.36750124 0.63249876] X=[-0.53898711 -0.77632281 -0.94367336 0.19887157 -0.63043676 1.04037035 0.79163081 0.00422106 0.34263866 0.79002558 0.394746 ], Predicted=[0.59935486 0.40064514] X=[-0.65750113 -0.0817699 1.28759423 -1.02363678 0.78860436 -0.01811689 -1.09100005 -0.97885873 1.26988195 -0.61207884 1.36996334], Predicted=[0.75478253 0.24521747] X=[-1.01304317 -0.0817699 -0.44783612 -0.31379322 0.78860436 -0.25333627 1.47408449 0.79335995 3.32306354 1.92923542 -0.41793512], Predicted=[0.90565885 0.09434115] X=[-0.77601514 -0.37943543 -0.94367336 0.29746096 0.33084916 0.56993158 0.25037443 0.47569811 0.27640699 0.26423642 -0.9868119 ], Predicted=[0.9074772 0.0925228] X=[-0.06493106 0.31511748 -1.19159198 -0.57012562 1.84144132 -0.31214112 -0.1967504 -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=[0.98138261 0.01861739] X=[-0.77601514 -0.57787912 -0.44783612 -0.82645801 -0.2642326 -0.6649702 -0.31441482 -0.7782302 0.01148034 -0.08628968 -0.01159456], Predicted=[0.82712508 0.17287492] X=[-1.48709922 -0.37943543 0.04800112 -0.86589377 -0.21845708 -1.25301866 -1.53812488 -1.41021007 -0.98199462 -0.34918426 0.88235467], Predicted=[0.77985871 0.22014129] X=[ 0.527639 1.30733592 -0.77839428 0.08056431 0.51395124 0.33471219 0.57983483 0.29178862 0.077712 -0.69971036 -0.49920323], Predicted=[0.93877392 0.06122608] X=[-0.4204731 1.45616868 0.54383836 1.32279054 -0.35578364 1.39319943 2.41539992 1.29493128 0.27640699 0.70239405 -1.23061624], Predicted=[0.94157139 0.05842861] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[ 0.64615301 1.60500145 -1.10895244 1.00730452 0.14774708 0.51112673 0.43863752 1.32836936 0.54133365 -0.43681578 -1.23061624], Predicted=[0.95387283 0.04612717] X=[-1.3685852 1.60500145 -1.68742922 0.12000007 -0.9508654 -0.42975081 0.81516369 -0.91198256 0.93872363 -0.08628968 1.61376767], Predicted=[0.48769795 0.51230205] X=[ 0.88318104 -0.67710097 1.28759423 -0.76730438 0.05619604 -0.90018958 -0.1967504 -0.75147973 -0.25344632 -0.08628968 0.47601411], Predicted=[0.76264134 0.23735866] X=[-1.01304317 -0.37943543 0.6264779 -1.0039189 -0.44733468 0.39351704 -0.47914502 -1.28648915 -0.98199462 1.31581474 1.00425684], Predicted=[0.67905469 0.32094531] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[-0.65750113 -1.07398834 -0.11727796 -0.43210048 -0.2642326 0.09949281 -0.50267791 -0.7381045 0.34263866 -0.52444731 0.63855033], Predicted=[0.62503206 0.37496794] X=[-0.53898711 -0.18099175 -1.0263129 0.13971794 -0.2642326 -0.01811689 0.55630195 0.52585524 1.33611362 0.79002558 -0.49920323], Predicted=[0.84482807 0.15517193] X=[ 1.4757511 -0.0817699 0.6264779 -0.97434209 -0.58466124 -1.4294332 -1.77345374 -1.079173 -1.31315295 0.61476253 1.20742712], Predicted=[0.65294183 0.34705817] X=[-1.25007119 0.01745194 2.69246641 0.53407548 -0.31000812 -0.5473605 0.48570329 0.82679804 3.12436854 0.527131 0.23220977], Predicted=[0.82579556 0.17420444] X=[-0.65750113 -0.18099175 0.70911744 0.13971794 -0.035355 1.56961397 1.66234758 0.4723543 0.077712 0.35186795 -0.82427568], Predicted=[0.92380887 0.07619113] X=[ 0.29061097 -0.57787912 -0.11727796 2.07206986 0.46817572 0.80515096 0.46217041 1.93025495 1.20365029 -0.96260494 -0.74300757], Predicted=[0.85304555 0.14695445] X=[-1.3685852 -0.32982451 -0.03463842 -1.04335466 0.14774708 -0.42975081 0.27390732 -0.44384932 -0.38590965 -0.61207884 -0.9868119 ], Predicted=[0.97096928 0.02903072] X=[-1.25007119 -0.47865728 -1.10895244 -0.86589377 -0.12690604 0.2171025 0.36803886 -0.59097691 0.14394366 -0.87497341 -0.2553989 ], Predicted=[0.90012993 0.09987007] X=[ 2.30534919 0.8112267 0.87439652 -0.88561164 -0.2642326 -1.54704289 -0.40854637 0.42554098 0.01148034 -0.08628968 -0.49920323], Predicted=[0.96534756 0.03465244] X=[-0.06493106 0.8112267 -0.77839428 -0.35322897 -0.31000812 -0.6649702 -0.33794771 -1.04573491 0.54133365 -1.31313104 1.69503579], Predicted=[0.56139855 0.43860145] X=[-0.89452915 -0.37943543 -0.11727796 0.5143576 -0.67621228 0.33471219 -0.10261885 -0.56422644 0.40887032 -2.01418325 1.45123145], Predicted=[0.46503667 0.53496333] X=[-0.30195909 -0.18099175 -0.44783612 0.59322911 -0.81353884 -1.31182351 -0.40854637 -0.49735026 -0.12098299 -1.31313104 1.28869523], Predicted=[0.50868919 0.49131081] X=[-0.4204731 1.50577961 -0.44783612 1.1058939 0.46817572 -0.72377504 0.83869658 1.52899789 0.8062603 0.527131 -0.9868119 ], Predicted=[0.97338527 0.02661473] X=[ 1.71277913 -0.47865728 0.79175698 -0.62927925 -0.4931102 -1.25301866 -0.87920408 -0.41041123 -0.25344632 -1.13786799 0.80108656], Predicted=[0.76525392 0.23474608] X=[ 0.05358295 0.41433932 -0.6131152 0.37633246 0.33084916 -0.19453143 0.97989389 0.82679804 0.40887032 0.1766049 -1.06808001], Predicted=[0.9501406 0.0498594] X=[-5.38987115e-01 -4.78657278e-01 2.95919742e-01 2.97460957e-01 1.93522599e-01 1.45200427e+00 2.73907319e-01 2.85101006e-01 -2.17416458e+00 1.34184656e-03 -9.86811901e-01], Predicted=[0.94892461 0.05107539] X=[ 1.94980715 -0.57787912 0.04800112 -1.12222616 -0.2642326 -1.78226228 -2.6677034 -0.74479212 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.8443123 0.1556877] X=[ 1.00169505 0.01745194 0.13064066 1.75658383 0.46817572 -0.25333627 -0.50267791 1.93025495 0.54133365 0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653] X=[ 0.40912499 -0.77632281 -0.28255704 -0.86589377 -0.31000812 0.45232188 1.16815698 -0.97885873 0.74002864 -0.69971036 1.20742712], Predicted=[0.51950898 0.48049102] X=[-0.4204731 0.31511748 -1.60478968 0.21858945 -0.08113052 -0.07692173 -0.12615174 0.49241715 0.21017533 0.08897337 -0.82427568], Predicted=[0.91885586 0.08114414] X=[ 1.00169505 0.21589563 0.04800112 -1.02363678 0.10197156 -1.84106713 -0.45561214 -1.06579776 -0.05475133 -1.31313104 1.28869523], Predicted=[0.77863703 0.22136297] X=[ 0.64615301 -0.18099175 0.79175698 -0.0771787 -1.08819196 -0.78257989 -0.31441482 -0.41041123 -0.38590965 0.527131 0.80108656], Predicted=[0.60487184 0.39512816] X=[ 0.88318104 1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259 -0.62034234 -1.14604918 -1.24692128 -0.69971036 1.69503579], Predicted=[0.64064591 0.35935409] X=[-1.3685852 1.10889223 -0.69575474 -0.29407534 -0.58466124 0.80515096 -0.59680945 -1.46036721 0.47510198 0.79002558 2.10137634], Predicted=[0.29791189 0.70208811] X=[ 1.4757511 0.11667379 1.28759423 0.13971794 -0.17268156 -0.78257989 -0.33794771 0.12459818 -0.31967798 -0.69971036 0.23220977], Predicted=[0.83543655 0.16456345] X=[-1.13155718 -0.18099175 -0.28255704 -1.06307253 -0.44733468 0.15829765 -0.57327657 -0.41041123 2.59451523 -0.08628968 -0.90554379], Predicted=[0.84401026 0.15598974] X=[-0.18344508 -0.0817699 -0.6131152 -0.80674014 -0.12690604 1.51080912 1.00342678 -0.02921702 1.7335036 1.22818321 0.06967355], Predicted=[0.78110243 0.21889757] X=[ 0.29061097 -1.47087572 0.37855928 -0.90532952 0.01042052 -1.25301866 -0.57327657 -0.5107255 0.87249197 3.59423441 0.96362278], Predicted=[0.49364274 0.50635726] X=[ 1.00169505 -0.28021359 -0.28255704 0.27774308 -0.35578364 1.8636382 1.35642006 0.5091362 -0.58460464 0.08897337 -0.33666701], Predicted=[0.82880265 0.17119735] X=[ 0.88318104 -0.47865728 0.04800112 -0.94476527 -0.12690604 -0.6649702 -0.22028328 -0.32681601 -0.45214131 1.84160389 -0.09286267], Predicted=[0.84241675 0.15758325] X=[ 2.06832116 0.51356116 0.04800112 1.06645815 0.60550228 0.39351704 2.39186704 1.60256169 -0.12098299 0.26423642 -0.41793512], Predicted=[0.93673549 0.06326451] X=[-1.72412724 -0.92515558 -1.19159198 0.13971794 0.10197156 0.04068796 -0.66740811 0.11791056 0.47510198 -0.69971036 -0.82427568], Predicted=[0.89010129 0.10989871] X=[ 0.05358295 0.01745194 0.6264779 -0.98420103 -1.36284508 -1.72345743 -1.96171683 -1.76131 -0.18721466 -0.78734189 2.34518068], Predicted=[0.35452208 0.64547792] X=[ 2.18683518 0.61278301 1.0396756 1.46081568 0.4224002 1.92244304 1.40348584 1.59587407 1.13741862 -1.05023647 -0.82427568], Predicted=[0.85814436 0.14185564] X=[-0.53898711 0.41433932 -0.86103382 1.93404472 0.4224002 0.04068796 0.88576235 1.52899789 0.47510198 0.43949948 -1.14934812], Predicted=[0.90180843 0.09819157] X=[ 1.35723709 0.01745194 -0.28255704 0.39605034 -0.7219878 -0.01811689 -0.54974368 -0.70466641 -1.71054293 -0.61207884 1.45123145], Predicted=[0.41572183 0.58427817] X=[ 0.17209696 0.41433932 -0.77839428 -0.03774295 0.10197156 -0.25333627 2.10947241 0.55929333 0.27640699 1.14055168 -0.90554379], Predicted=[0.94082501 0.05917499] X=[ 0.527639 -0.57787912 0.29591974 1.55940506 0.78860436 0.74634612 1.23875564 1.26149319 -1.97546959 -0.96260494 -1.23061624], Predicted=[0.95540795 0.04459205] X=[ 0.527639 -0.67710097 -1.0263129 -0.94476527 0.01042052 -0.01811689 -0.12615174 0.21153721 1.26988195 -0.26155273 -0.41793512], Predicted=[0.90425593 0.09574407] X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546] X=[-3.01959090e-01 1.30733592e+00 -7.78394281e-01 -2.94075343e-01 5.13727875e+00 6.87541270e-01 1.32710005e-01 2.28256256e-01 -1.20982993e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.99321913 0.00678087] X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.78364162], Predicted=[0.90246597 0.09753403] X=[-0.06493106 0.01745194 0.54383836 3.07768157 0.10197156 0.74634612 0.67396638 2.33151201 -1.71054293 0.08897337 -1.47442057], Predicted=[0.93997344 0.06002656] X=[-0.30195909 -0.77632281 -1.60478968 -0.39266473 6.32744226 -0.01811689 0.69749926 -0.02252941 -1.71054293 -0.34918426 -0.90554379], Predicted=[0.99441403 0.00558597] X=[ 0.17209696 -0.37943543 0.04800112 -0.668715 -0.4931102 0.04068796 -0.8556712 -1.17948726 -0.05475133 -0.52444731 1.36996334], Predicted=[0.47901757 0.52098243] X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713 -2.59710474 -1.57740052 0.077712 -1.13786799 1.20742712], Predicted=[0.42447039 0.57552961] X=[-0.89452915 0.01745194 -1.4395106 -1.0039189 0.6512778 0.04068796 -0.29088194 -0.16631319 -0.38590965 -0.26155273 -1.47442057], Predicted=[0.97829812 0.02170188] X=[ 0.17209696 0.21589563 -0.44783612 -0.82645801 -0.17268156 -0.84138474 0.90929523 -0.79160544 0.077712 0.70239405 0.71981845], Predicted=[0.762909 0.237091] X=[-0.53898711 -1.17321019 0.29591974 -0.96448315 -0.40155916 -0.48855566 -0.690941 -0.19306366 1.26988195 0.08897337 -0.58047134], Predicted=[0.86937764 0.13062236] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[-2.43521132 0.61278301 -2.76174325 0.02141068 -0.81353884 -0.13572658 0.57983483 -0.04259226 1.13741862 1.05292016 -0.49920323], Predicted=[0.84046739 0.15953261] X=[-1.13155718 0.01745194 -1.60478968 0.43548609 -0.63043676 -0.31214112 0.08564423 0.46566668 0.60756531 -0.43681578 -0.82427568], Predicted=[0.89087982 0.10912018] X=[-0.4204731 -0.18099175 0.46119882 -0.98420103 -1.179743 -1.37062835 -1.70285508 -1.04907872 0.40887032 2.27976152 0.63855033], Predicted=[0.54865025 0.45134975] X=[ 0.88318104 0.21589563 -0.94367336 0.75097212 0.14774708 1.27558973 1.23875564 0.86023613 -0.71706797 -0.78734189 -0.9868119 ], Predicted=[0.92245475 0.07754525] X=[ 1.35723709 3.2917728 0.37855928 1.12561178 11.68317809 -0.6649702 1.92120932 1.76306451 -1.64431127 -0.08628968 -1.06808001], Predicted=[9.99906788e-01 9.32118017e-05] X=[-0.65750113 0.11667379 -0.86103382 1.53968719 -0.40155916 -0.6649702 -0.92626985 0.41885336 -0.71706797 -0.96260494 0.06967355], Predicted=[0.74373862 0.25626138] X=[ 0.29061097 0.91044854 2.77510595 0.81012575 -0.035355 0.80515096 0.39157175 1.16117892 -0.18721466 -0.43681578 -1.47442057], Predicted=[0.97377002 0.02622998] X=[-0.06493106 -0.9747665 0.13064066 -0.19548596 0.37662468 1.04037035 0.10917712 -0.38700457 -0.58460464 0.43949948 0.394746 ], Predicted=[0.71997877 0.28002123] X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129] X=[ 3.13494728 1.40655776 0.6264779 -0.80674014 -0.53888572 -0.78257989 0.15624289 0.3586648 -0.8495313 0.26423642 0.394746 ], Predicted=[0.94183771 0.05816229] X=[ 0.17209696 -0.67710097 0.70911744 -0.21520384 -0.40155916 0.04068796 -0.3614806 -0.27331507 -0.31967798 0.26423642 0.31347789], Predicted=[0.74520427 0.25479573] X=[ 0.29061097 -1.37165388 0.54383836 -1.02363678 0.23929812 1.15798004 -0.05555308 -0.27665888 0.74002864 4.12002357 -0.58047134], Predicted=[0.66434992 0.33565008] X=[ 0.29061097 1.60500145 -0.86103382 -0.11661445 -0.4931102 -0.6649702 -0.90273697 -1.13936156 -0.25344632 0.70239405 2.18264446], Predicted=[0.38909989 0.61090011] X=[ 1.71277913 -1.07398834 -0.1999175 -0.96448315 0.14774708 0.74634612 0.34450598 0.05772201 -0.45214131 0.79002558 -0.90554379], Predicted=[0.89361644 0.10638356] X=[ 1.83129314 -1.07398834 -0.1999175 0.06084644 -0.35578364 -0.37094597 -0.14968462 0.15803627 -0.58460464 -1.48839409 0.06967355], Predicted=[0.77473491 0.22526509] X=[ 2.4238632 -0.0817699 -0.44783612 -1.10250829 -0.99664092 -0.37094597 -0.24381617 -1.40017865 -1.18068962 -1.22549952 1.53249956], Predicted=[0.46504369 0.53495631] X=[-0.53898711 1.30733592 -2.67910371 -0.05746082 0.10197156 -0.90018958 -1.60872354 -0.13621891 0.01148034 -0.61207884 -0.41793512], Predicted=[0.91156338 0.08843662] X=[ 3.01643326 0.11667379 1.78343147 -0.82645801 0.1935226 -1.07660412 -0.45561214 0.72648377 -0.45214131 1.75397237 -0.17413078], Predicted=[0.95157756 0.04842244] X=[-1.25007119 -0.77632281 -0.53047566 -0.98420103 -0.67621228 -1.37062835 -1.44399334 -1.17948726 0.40887032 -1.13786799 0.31347789], Predicted=[0.75236149 0.24763851] X=[ 0.64615301 -0.37943543 0.2132802 -0.86589377 -0.67621228 -0.48855566 0.01504558 -1.16276822 0.60756531 -0.08628968 1.61376767], Predicted=[0.41174035 0.58825965] X=[-0.89452915 -0.0817699 -0.1999175 -0.49125411 -0.53888572 0.39351704 -0.0320202 -0.61772738 0.34263866 -0.26155273 0.31347789], Predicted=[0.76389263 0.23610737] X=[-0.4204731 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.6649702 -1.39692757 -1.16945584 0.54133365 1.75397237 0.71981845], Predicted=[0.53738737 0.46261263] X=[-0.53898711 0.21589563 -0.53047566 -0.39266473 0.4224002 -1.07660412 -0.07908597 -0.5107255 0.27640699 -0.43681578 1.36996334], Predicted=[0.81158574 0.18841426] X=[-1.01304317 1.10889223 -1.68742922 -1.02363678 -0.17268156 1.45200427 0.79163081 -0.9654835 -0.8495313 0.26423642 0.06967355], Predicted=[0.89132236 0.10867764] X=[-0.06493106 0.11667379 1.37023377 1.3622263 0.33084916 0.74634612 1.30935429 1.12774083 -0.6508363 -0.34918426 -0.90554379], Predicted=[0.93884843 0.06115157] X=[-0.77601514 -0.23060267 -0.53047566 -1.0039189 -0.40155916 -0.31214112 -1.23219737 -1.90174997 -0.91576296 0.87765711 1.93884012], Predicted=[0.372298 0.627702] X=[-1.01304317 0.51356116 -1.27423152 -0.668715 -0.44733468 -1.78226228 -1.25573025 -0.9287016 0.60756531 -0.78734189 0.80108656], Predicted=[0.77881222 0.22118778] X=[ 0.64615301 1.00967039 0.04800112 0.37633246 0.28507364 0.51112673 0.69749926 0.74989043 -0.51837298 0.26423642 -1.06808001], Predicted=[0.95783793 0.04216207] X=[ 3.49048932 0.31511748 1.28759423 1.77630171 0.01042052 -1.31182351 -0.45561214 2.13088348 -0.05475133 -0.34918426 -0.82427568], Predicted=[0.90991512 0.09008488] X=[-1.3685852 -0.0817699 -0.11727796 -1.02363678 0.01042052 -0.90018958 0.39157175 -0.2097827 4.05161184 -0.69971036 -0.2553989 ], Predicted=[0.85971931 0.14028069] X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546] X=[-0.53898711 -0.18099175 0.70911744 0.65238274 -0.08113052 -0.31214112 0.03857846 0.72648377 -0.05475133 -0.17392121 -1.14934812], Predicted=[0.93846254 0.06153746] X=[ 0.29061097 -0.28021359 -0.69575474 -0.94476527 0.01042052 0.86395581 1.00342678 -0.5107255 0.077712 -0.61207884 0.394746 ], Predicted=[0.84019785 0.15980215] X=[ 0.64615301 -0.47865728 -0.69575474 -0.98420103 0.14774708 0.45232188 0.06211135 -0.2097827 1.53480861 0.43949948 -0.2553989 ], Predicted=[0.7943741 0.2056259] X=[ 0.64615301 -0.57787912 -0.44783612 0.5143576 0.01042052 -0.78257989 -0.40854637 0.21822483 -0.58460464 0.527131 0.23220977], Predicted=[0.73584048 0.26415952] X=[-0.65750113 -0.77632281 -1.19159198 1.16504753 0.10197156 1.09917519 0.15624289 0.8869866 -0.18721466 -0.61207884 -0.9868119 ], Predicted=[0.86312721 0.13687279] X=[ 0.29061097 0.01745194 -0.44783612 0.41576822 -0.7219878 -0.60616535 1.23875564 -0.21647032 -0.18721466 -0.26155273 1.36996334], Predicted=[0.57460891 0.42539109] X=[ 1.12020906 -1.07398834 1.37023377 -1.0039189 -0.035355 -0.01811689 0.03857846 -1.21292535 -0.18721466 -0.78734189 1.20742712], Predicted=[0.55393456 0.44606544] X=[ 0.76466702 1.00967039 -0.03463842 -0.27435747 -0.035355 -0.31214112 -0.17321751 0.05772201 0.87249197 -0.43681578 0.31347789], Predicted=[0.86533124 0.13466876] X=[-0.18344508 1.80344514 -0.53047566 -0.23492171 -0.31000812 -0.01811689 -0.99686851 -0.91532637 -0.18721466 -0.43681578 1.53249956], Predicted=[0.67930785 0.32069215] X=[ 1.00169505 1.80344514 -1.27423152 -0.60956137 0.37662468 -1.01779928 0.10917712 -0.03590464 -0.45214131 0.1766049 0.23220977], Predicted=[0.95068279 0.04931721] X=[-0.06493106 -0.0817699 -0.94367336 2.24953075 -0.53888572 -1.13540897 -0.5262108 1.62931216 -0.78329963 0.35186795 -1.06808001], Predicted=[0.87139862 0.12860138] X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315 0.23929812 0.62873642 0.08564423 -0.41041123 0.27640699 -0.61207884 -0.33666701], Predicted=[0.90918204 0.09081796] X=[-0.18344508 -1.37165388 1.45287331 -0.4123826 -0.81353884 1.27558973 -0.33794771 -0.75816735 -1.84300626 0.43949948 0.15094166], Predicted=[0.6959527 0.3040473] X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634] X=[ 1.00169505 -0.9747665 -0.28255704 -1.02363678 0.01042052 0.80515096 1.42701872 0.03431534 -1.04822629 -0.96260494 -0.9868119 ], Predicted=[0.9610682 0.0389318] X=[ 0.40912499 -0.0817699 3.35358273 1.20448328 -0.40155916 0.68754127 0.41510463 1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=[0.9647721 0.0352279] X=[-0.06493106 -0.47865728 -0.36519658 1.77630171 1.24635956 1.21678489 0.81516369 1.46212172 -0.8495313 -0.69971036 -1.47442057], Predicted=[0.9461156 0.0538844] X=[-0.65750113 -1.07398834 0.70911744 -0.70815075 -0.81353884 0.56993158 -0.73800677 -1.079173 0.54133365 -0.52444731 1.04489089], Predicted=[0.4738397 0.5261603] X=[-0.53898711 0.21589563 0.37855928 0.27774308 0.01042052 -0.01811689 1.26228852 0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=[0.97036245 0.02963755] X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494] X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155] X=[ 2.90610974e-01 8.11226697e-01 2.95919742e-01 -3.13793220e-01 -1.22551852e+00 2.17102498e-01 -5.73276568e-01 -1.22630059e+00 -7.17067969e-01 1.34184656e-03 1.77630390e+00], Predicted=[0.40217931 0.59782069] X=[ 0.64615301 0.61278301 0.70911744 -1.04335466 -0.58466124 -1.07660412 0.76809792 -0.7782302 -0.45214131 0.35186795 0.63855033], Predicted=[0.85801285 0.14198715] X=[-0.65750113 0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143 0.03857846 -1.51386815 -0.12098299 -1.13786799 1.85757201], Predicted=[0.48639266 0.51360734] X=[-1.25007119 -0.03215898 -0.28255704 -0.19548596 -0.12690604 0.33471219 0.25037443 -0.47728741 0.93872363 -0.61207884 0.23220977], Predicted=[0.76912578 0.23087422] X=[ 1.72096961e-01 -4.78657278e-01 2.13280202e-01 1.30307267e+00 2.39298119e-01 2.15766243e+00 9.09295235e-01 1.06086466e+00 -1.87214657e-01 1.34184656e-03 -5.80471343e-01], Predicted=[0.81904191 0.18095809] X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572 0.68754127 -1.13806583 -1.80812333 0.21017533 -0.96260494 1.69503579], Predicted=[0.36610084 0.63389916] X=[-0.30195909 -1.27243203 0.04800112 -0.25463959 0.4224002 -0.07692173 -0.31441482 0.05772201 1.13741862 -0.61207884 -0.74300757], Predicted=[0.8547734 0.1452266] X=[-1.01304317 0.61278301 -0.36519658 -0.05746082 0.01042052 -0.37094597 -0.10261885 0.19816198 1.93219859 0.70239405 0.15094166], Predicted=[0.83857038 0.16142962] X=[-0.53898711 1.00967039 -1.10895244 -0.21520384 3.26048243 1.27558973 1.00342678 0.18813055 0.34263866 -0.52444731 -0.82427568], Predicted=[0.98133317 0.01866683] X=[ 0.17209696 2.49799805 -2.59646417 -1.06307253 -0.44733468 0.2171025 -0.73800677 -0.34353506 0.077712 -1.48839409 -1.23061624], Predicted=[0.97333424 0.02666576] X=[-0.18344508 1.90266698 0.04800112 0.49463972 -0.12690604 -0.25333627 0.79163081 0.79335995 0.21017533 0.96528863 -1.06808001], Predicted=[0.96202143 0.03797857] X=[ 1.59426511 0.21589563 0.87439652 1.18476541 -0.12690604 0.9815655 0.36803886 0.16472389 -0.98199462 -1.40076257 1.20742712], Predicted=[0.54753627 0.45246373] X=[ 0.40912499 -0.67710097 -0.1999175 0.81012575 -0.4931102 0.04068796 -0.38501348 0.25166292 -0.45214131 -0.78734189 0.06967355], Predicted=[0.68655601 0.31344399] X=[-0.30195909 -1.07398834 -0.44783612 -1.04335466 -0.53888572 1.15798004 -0.71447388 -1.55065005 -1.24692128 0.26423642 1.126159 ], Predicted=[0.46467942 0.53532058] X=[ 0.17209696 -0.37943543 0.04800112 -0.98420103 -0.67621228 -0.48855566 -0.73800677 -1.34667771 -0.8495313 -0.87497341 1.126159 ], Predicted=[0.6484491 0.3515509] X=[-0.65750113 -0.57787912 -0.53047566 -0.37294685 -0.44733468 2.68690605 0.43863752 -0.41041123 -0.91576296 2.36739305 0.15094166], Predicted=[0.64999231 0.35000769] X=[-0.65750113 -0.37943543 0.13064066 -0.80674014 -0.31000812 0.45232188 -0.690941 -1.15942441 1.0049553 -0.43681578 1.04489089], Predicted=[0.51944439 0.48055561] X=[-1.25007119 1.40655776 -0.28255704 -0.82645801 -0.4931102 -0.5473605 -0.22028328 -1.68105859 0.87249197 -0.17392121 1.93884012], Predicted=[0.50453561 0.49546439] X=[-0.53898711 -1.52048664 -0.36519658 -0.10675551 -0.17268156 -0.6649702 -0.92626985 -0.67791594 0.27640699 -1.48839409 1.20742712], Predicted=[0.53918346 0.46081654] X=[ 1.00169505 0.31511748 -0.6131152 0.27774308 -0.67621228 -0.72377504 -1.13806583 0.12459818 -0.38590965 0.08897337 -0.09286267], Predicted=[0.76797739 0.23202261] X=[-0.77601514 0.41433932 -0.11727796 -0.82645801 -0.44733468 -1.19421382 -1.60872354 -1.3801158 -0.18721466 -0.08628968 1.7763039 ], Predicted=[0.6117597 0.3882403] X=[ 1.23872307 2.29955436 0.2132802 -0.03774295 0.23929812 -0.31214112 0.81516369 1.46212172 -0.6508363 0.35186795 -0.66173945], Predicted=[0.99366101 0.00633899] X=[-0.18344508 -1.71893033 -0.11727796 1.18476541 0.23929812 -0.07692173 -0.76153965 1.32836936 2.32958858 -0.34918426 -1.06808001], Predicted=[0.75728032 0.24271968] X=[-0.53898711 -0.57787912 0.04800112 -0.98420103 -1.04241644 1.21678489 -0.54974368 -1.48711768 -0.05475133 1.84160389 0.96362278], Predicted=[0.31162157 0.68837843] X=[-0.65750113 -0.67710097 -0.44783612 -0.96448315 0.23929812 0.62873642 0.08564423 -0.41041123 0.27640699 -0.61207884 -0.33666701], Predicted=[0.90918204 0.09081796] X=[-0.65750113 0.31511748 0.04800112 -0.82645801 -0.035355 -0.90018958 -1.44399334 -0.44384932 0.74002864 -0.52444731 -0.2553989 ], Predicted=[0.91316969 0.08683031] X=[ 0.05358295 -0.37943543 0.54383836 1.77630171 0.28507364 2.68690605 1.40348584 1.52899789 0.077712 1.75397237 -0.90554379], Predicted=[0.78466566 0.21533434] X=[-0.30195909 -0.28021359 0.70911744 0.96786876 0.14774708 2.45168666 2.18007107 0.86023613 0.34263866 0.26423642 -0.82427568], Predicted=[0.85029858 0.14970142] X=[ 0.40912499 3.04371819 -1.10895244 0.79040787 1.84144132 -1.07660412 -1.04393428 0.93045611 -0.38590965 -0.78734189 -0.90554379], Predicted=[0.9889267 0.0110733] X=[-0.77601514 0.8112267 -0.53047566 -0.62927925 -0.63043676 -1.31182351 -1.53812488 -1.54061862 -1.90923792 1.75397237 1.69503579], Predicted=[0.59056166 0.40943834] X=[ 0.29061097 -0.18099175 -0.1999175 -0.82645801 -0.08113052 -0.37094597 -0.24381617 -0.10946844 1.0049553 1.31581474 0.31347789], Predicted=[0.81533733 0.18466267] X=[ 0.40912499 -1.17321019 -0.11727796 -1.10250829 -0.2642326 0.86395581 -0.40854637 -0.61103976 0.54133365 -1.40076257 -0.41793512], Predicted=[0.81022615 0.18977385] X=[ 3.01643326 0.21589563 -0.11727796 0.8495615 -0.76776332 -1.25301866 -0.64387523 0.59273142 -2.24039624 -0.61207884 0.06967355], Predicted=[0.81444528 0.18555472] X=[-0.77601514 0.21589563 -1.35687106 -0.70815075 -0.2642326 -0.6649702 -0.31441482 -0.04259226 -1.18068962 -0.26155273 -1.23061624], Predicted=[0.97689997 0.02310003] X=[-0.53898711 0.01745194 -1.19159198 -0.19548596 -0.17268156 1.8636382 1.00342678 0.10787914 0.8062603 -1.22549952 -0.2553989 ], Predicted=[0.86666955 0.13333045] X=[ 0.527639 0.41433932 0.13064066 -0.98420103 0.1935226 -1.60584774 0.57983483 -0.53078835 0.34263866 -0.61207884 0.15094166], Predicted=[0.91883392 0.08116608] X=[-0.18344508 -0.37943543 -0.03463842 1.16504753 0.01042052 -0.25333627 0.15624289 1.42868363 1.13741862 -0.78734189 -0.82427568], Predicted=[0.91757349 0.08242651] X=[-0.53898711 -0.47865728 0.13064066 0.77069 -0.17268156 1.09917519 0.03857846 0.89367421 0.27640699 -0.17392121 -1.06808001], Predicted=[0.89825915 0.10174085] X=[-0.4204731 -0.87554465 -0.11727796 -0.98420103 -0.2642326 -0.25333627 -0.14968462 -0.61103976 1.13741862 0.43949948 0.23220977], Predicted=[0.73701812 0.26298188] X=[-1.48709922 0.71200485 -1.60478968 -0.27435747 0.01042052 0.74634612 1.40348584 -0.10946844 0.74002864 1.92923542 -0.17413078], Predicted=[0.85329213 0.14670787] X=[-1.25007119 -1.47087572 -0.6131152 -0.25463959 -0.31000812 -0.95899443 -0.83213831 0.25166292 1.13741862 -0.17392121 -0.9868119 ], Predicted=[0.89362197 0.10637803] X=[-1.3685852 -0.47865728 -0.69575474 0.30731989 -0.17268156 -1.13540897 -0.71447388 0.27841339 1.66727194 1.05292016 -0.17413078], Predicted=[0.76344454 0.23655546] X=[-0.30195909 1.00967039 -1.27423152 -1.02363678 -0.17268156 -0.90018958 -1.27926314 -0.44384932 0.21017533 -0.34918426 -0.33666701], Predicted=[0.94037092 0.05962908] X=[-0.18344508 -0.87554465 0.04800112 -1.06307253 -1.08819196 -0.78257989 -1.04393428 -0.94542065 0.27640699 0.70239405 0.47601411], Predicted=[0.62514024 0.37485976] X=[ 1.71277913 0.8112267 1.94871055 1.6974302 0.28507364 -0.01811689 2.76839321 2.03056922 -1.71054293 1.31581474 -1.55568868], Predicted=[0.97983663 0.02016337] X=[ 1.59426511 -0.77632281 0.37855928 -0.57012562 0.33084916 0.33471219 0.83869658 -0.3234722 0.21017533 -0.69971036 0.88235467], Predicted=[0.71193563 0.28806437] X=[ 0.64615301 -0.9747665 -0.28255704 0.79040787 -0.035355 0.51112673 0.83869658 0.86023613 -0.51837298 0.70239405 -0.66173945], Predicted=[0.83382685 0.16617315] X=[ 0.05358295 0.51356116 2.36190825 0.21858945 -0.35578364 0.62873642 -0.14968462 -0.86851304 0.27640699 -0.52444731 2.34518068], Predicted=[0.36843008 0.63156992] X=[-1.3685852 -1.17321019 -0.6131152 -0.01802507 -0.12690604 -0.42975081 -0.59680945 -0.14290653 -0.8495313 0.79002558 -0.49920323], Predicted=[0.86195241 0.13804759] X=[-0.30195909 -0.18099175 -0.94367336 2.31854331 0.1935226 -0.72377504 0.01504558 1.67612548 -0.8495313 0.08897337 -1.06808001], Predicted=[0.90588458 0.09411542] X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909] X=[ 1.23872307 0.11667379 0.46119882 0.06084644 -0.44733468 -1.72345743 -0.50267791 -0.07603035 -0.45214131 -0.61207884 0.15094166], Predicted=[0.82416276 0.17583724] X=[-0.77601514 -0.47865728 0.37855928 -0.94476527 -0.08113052 -1.37062835 -0.59680945 -0.75816735 0.74002864 2.10449847 0.71981845], Predicted=[0.71894602 0.28105398] X=[-0.89452915 -1.17321019 0.04800112 -0.05746082 -0.53888572 -0.25333627 -0.57327657 -0.12618748 0.87249197 0.79002558 -0.30957764], Predicted=[0.69215775 0.30784225] X=[ 1.59426511 -1.27243203 1.20495468 -0.72786863 0.28507364 -0.6649702 1.21522275 0.32522671 2.06466192 -0.34918426 0.31347789], Predicted=[0.81853814 0.18146186] X=[-2.43521132 -0.5282682 0.37855928 -1.02363678 1.29213508 0.68754127 -0.1967504 -0.90529494 0.8062603 -0.78734189 -0.17413078], Predicted=[0.92732186 0.07267814] X=[ 0.40912499 -0.37943543 -0.28255704 -1.02363678 -0.40155916 -1.4294332 -1.0204014 -1.63424527 -1.51184794 -1.13786799 1.61376767], Predicted=[0.62750998 0.37249002] X=[-0.65750113 1.10889223 -0.94367336 -0.70815075 0.10197156 1.04037035 0.81516369 -0.33015982 0.34263866 -0.34918426 -0.58047134], Predicted=[0.93567857 0.06432143] X=[ 0.88318104 -0.0817699 -0.11727796 -1.02363678 -0.12690604 -0.72377504 -1.56165777 -0.55753882 -0.8495313 1.66634084 -0.01159456], Predicted=[0.8390603 0.1609397] X=[-0.06493106 -1.57009756 -0.28255704 1.28335479 0.14774708 -0.19453143 -1.1851316 0.84017327 0.077712 -1.22549952 -0.49920323], Predicted=[0.77028809 0.22971191] X=[-1.25007119 -0.87554465 -0.69575474 0.86927938 -0.17268156 -0.13572658 -0.33794771 0.8134228 0.21017533 -0.69971036 -1.06808001], Predicted=[0.91023867 0.08976133] X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449 -0.76776332 0.45232188 -0.76153965 -0.97217112 -1.71054293 -0.52444731 0.80108656], Predicted=[0.6072019 0.3927981] X=[ 0.64615301 -1.07398834 -0.36519658 -0.98420103 0.05619604 -0.72377504 -0.73800677 -0.04259226 2.19712525 1.40344626 -0.09286267], Predicted=[0.72311793 0.27688207] X=[ 0.64615301 0.11667379 1.20495468 1.26363691 -0.40155916 1.54021154 1.02695966 1.35511983 -1.11445795 -1.31313104 -1.39315246], Predicted=[0.95653049 0.04346951] X=[ 0.40912499 -0.0817699 -0.53047566 -0.78702226 0.10197156 -0.31214112 0.25037443 -0.14290653 -0.58460464 0.1766049 -1.06808001], Predicted=[0.94762709 0.05237291] X=[ 0.05358295 -0.18099175 -0.1999175 0.12000007 -0.31000812 0.09949281 0.86222946 -0.08940558 0.87249197 0.00134185 0.71981845], Predicted=[0.64359658 0.35640342] X=[ 1.23872307e+00 -1.37165388e+00 9.57036064e-01 -9.05329520e-01 1.93522599e-01 -1.07660412e+00 -5.73276568e-01 2.58350535e-01 9.38723632e-01 1.34184656e-03 1.50941663e-01], Predicted=[0.8870134 0.1129866] X=[ 0.05358295 -0.0817699 -0.69575474 0.21858945 -0.7219878 -1.01779928 -0.50267791 -0.95879588 -0.6508363 -0.96260494 2.02010823], Predicted=[0.38137693 0.61862307] X=[-0.18344508 0.91044854 -0.69575474 -0.76730438 -0.81353884 -0.6649702 -1.27926314 -1.04573491 -0.31967798 -1.13786799 0.96362278], Predicted=[0.7676324 0.2323676] X=[-0.06493106 -0.57787912 0.29591974 -0.9250474 -0.44733468 0.15829765 1.33288718 -1.079173 1.07118696 2.01686694 1.61376767], Predicted=[0.35267615 0.64732385] X=[-2.3166973 0.51356116 -0.1999175 -1.02363678 -1.36284508 0.2171025 0.27390732 -2.30635084 0.93872363 0.87765711 2.83278935], Predicted=[0.16226504 0.83773496] X=[-1.01304317 -1.17321019 0.2132802 -0.94476527 -0.17268156 -1.31182351 -1.82051951 -0.86851304 0.21017533 0.43949948 0.23220977], Predicted=[0.77629224 0.22370776] X=[ 0.76466702 1.40655776 0.95703606 0.53407548 -0.76776332 -0.90018958 -0.31441482 0.6596076 -0.45214131 -1.13786799 -0.33666701], Predicted=[0.94680254 0.05319746] X=[-0.77601514 0.21589563 -0.1999175 -1.02363678 0.10197156 -0.95899443 -0.31441482 -1.35002152 0.87249197 0.43949948 1.69503579], Predicted=[0.5851737 0.4148263] X=[-1.01304317 -1.07398834 -0.03463842 -0.0771787 -0.44733468 -0.31214112 -0.64387523 -0.13621891 0.87249197 0.79002558 -0.29603295], Predicted=[0.71637505 0.28362495] X=[-1.48709922 -0.92515558 -1.19159198 0.13971794 0.10197156 0.04068796 -0.66740811 0.11791056 0.47510198 -0.69971036 -0.82427568], Predicted=[0.88090727 0.11909273] X=[-0.30195909 -1.17321019 -0.28255704 -0.94476527 -0.53888572 -1.19421382 -1.42046046 -0.67791594 1.26988195 -0.43681578 0.55728222], Predicted=[0.67313499 0.32686501] X=[-0.06493106 -0.9747665 -0.44783612 -1.04335466 -0.85931436 -0.19453143 -0.62034234 -1.04907872 -0.25344632 -0.34918426 0.394746 ], Predicted=[0.66906844 0.33093156] X=[ 1.94980715 0.01745194 0.04800112 1.46081568 -0.21845708 -0.19453143 0.53276906 1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=[0.85506499 0.14493501] X=[-0.06493106 0.01745194 0.13064066 -0.80674014 -0.17268156 -1.13540897 -1.25573025 -1.14604918 0.01148034 0.61476253 1.53249956], Predicted=[0.58206481 0.41793519] X=[-0.89452915 1.60500145 -0.44783612 -0.42224154 -0.63043676 0.45232188 -0.14968462 -0.81166829 0.47510198 -0.17392121 0.61146097], Predicted=[0.76617756 0.23382244] X=[-0.06493106 1.60500145 -1.10895244 1.89460897 0.8801554 1.51080912 1.12109121 1.60924931 -0.38590965 -0.34918426 -1.55568868], Predicted=[0.96288395 0.03711605] X=[-0.06493106 -0.18099175 -0.36519658 1.08617602 0.28507364 1.09917519 0.50923618 0.47904192 -1.04822629 0.79002558 -0.09286267], Predicted=[0.77220307 0.22779693] X=[ 0.05358295 -0.9747665 0.37855928 0.33689671 0.14774708 0.51112673 0.88576235 0.59273142 0.74002864 0.43949948 -0.58047134], Predicted=[0.83520446 0.16479554] X=[ 0.17209696 1.20811407 -0.69575474 -0.90532952 0.1935226 0.92276066 1.19168986 -0.76485497 -1.24692128 0.527131 0.71981845], Predicted=[0.89084098 0.10915902] X=[ 0.05358295 2.59721989 -0.11727796 1.34250842 0.1935226 1.04037035 2.29773549 1.09430274 0.077712 0.08897337 -0.74300757], Predicted=[0.95016647 0.04983353] X=[-0.30195909 -0.67710097 0.46119882 -0.80674014 -0.21845708 -0.25333627 -0.8556712 -0.60769595 0.21017533 0.79002558 0.31347789], Predicted=[0.76251398 0.23748602] X=[ 1.59426511 2.3987762 0.04800112 -1.02363678 -0.17268156 -1.01779928 0.67396638 -0.12284367 0.34263866 -0.87497341 0.06967355], Predicted=[0.96501973 0.03498027] X=[-1.01304317 -0.87554465 -0.6131152 1.18476541 0.10197156 0.86395581 0.20330866 1.06086466 0.74002864 -1.13786799 -1.31188435], Predicted=[0.89453069 0.10546931] X=[ 0.17209696 -0.37943543 -0.69575474 -0.9250474 -0.17268156 0.74634612 1.19168986 -0.67791594 0.40887032 -0.61207884 0.71981845], Predicted=[0.75013121 0.24986879] X=[ 0.40912499 -0.87554465 -0.1999175 -0.01802507 -0.53888572 -1.07660412 -0.83213831 -0.32681601 -0.25344632 0.26423642 0.71981845], Predicted=[0.60521056 0.39478944] X=[-1.60561323 -0.37943543 -0.11727796 0.45520397 0.6512778 -0.95899443 -0.8556712 -0.00915417 0.54133365 -1.57602562 -0.09286267], Predicted=[0.89016728 0.10983272] X=[ 2.4238632 -1.47087572 1.28759423 -1.06307253 -0.81353884 -1.72345743 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=[0.88994597 0.11005403] X=[ 1.4757511 -0.18099175 -0.53047566 -0.4123826 -0.7219878 0.45232188 -0.3614806 -0.63779023 -0.18721466 -1.40076257 0.55728222], Predicted=[0.59423628 0.40576372] X=[-8.94529153e-01 -5.77879122e-01 1.37023377e+00 4.11285600e-02 -3.53550004e-02 -3.12141119e-01 -3.85013482e-01 4.10029609e-02 2.10175327e-01 1.34184656e-03 -4.99203231e-01], Predicted=[0.88901051 0.11098949] X=[-6.49310643e-02 -8.17699008e-02 7.09117443e-01 1.79153697e-01 3.76624679e-01 1.33439458e+00 1.45055161e+00 5.12480007e-01 -4.52141313e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.94462988 0.05537012] X=[-0.77601514 -1.07398834 -0.28255704 -1.04335466 -0.40155916 -1.25301866 -1.39692757 -0.34353506 2.06466192 0.43949948 -0.17413078], Predicted=[0.79231903 0.20768097] X=[-0.53898711 -0.18099175 0.13064066 0.2580252 0.46817572 0.56993158 1.23875564 0.41550955 -0.18721466 0.08897337 -0.82427568], Predicted=[0.93474034 0.06525966] X=[-0.77601514 0.91044854 -0.77839428 -0.05746082 -0.63043676 -0.95899443 -1.23219737 -1.56736909 -0.98199462 -2.01418325 2.34518068], Predicted=[0.46803174 0.53196826] X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784] X=[ 0.88318104 -1.47087572 0.04800112 0.57351123 0.74282884 0.27590734 -0.29088194 0.86023613 0.14394366 -0.87497341 -0.74300757], Predicted=[0.87963532 0.12036468] X=[-1.48709922 1.80344514 -0.77839428 -0.31379322 -0.17268156 -0.6649702 -1.56165777 -1.079173 0.67379698 -1.05023647 1.69503579], Predicted=[0.71344692 0.28655308] X=[-0.89452915 0.8112267 -0.03463842 -1.04335466 0.1935226 -0.6649702 0.72103215 -0.44384932 -0.25344632 2.5426561 -0.82427568], Predicted=[0.95189546 0.04810454] X=[ 0.29061097 -0.9747665 -0.6131152 -1.0039189 -0.21845708 -0.90018958 -1.58519066 -0.47728741 -0.98199462 2.19213 -0.49920323], Predicted=[0.84196068 0.15803932] X=[-0.06493106 -0.18099175 0.54383836 0.21858945 0.01042052 0.56993158 0.95636101 0.60276285 0.077712 0.00134185 -0.9868119 ], Predicted=[0.93374614 0.06625386] X=[ 0.40912499 -0.77632281 -0.94367336 -0.94476527 -0.08113052 -1.07660412 -0.87920408 0.22825626 1.20365029 0.35186795 -0.41793512], Predicted=[0.90691699 0.09308301] X=[ 3.01643326e+00 1.74519434e-02 -2.82557040e-01 -9.44765273e-01 -3.53550004e-02 4.06879593e-02 1.50455761e-02 4.38916213e-01 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=[0.94776255 0.05223745] X=[-0.53898711 0.41433932 -0.86103382 1.93404472 0.4224002 0.04068796 0.88576235 1.52899789 0.47510198 0.43949948 -1.14934812], Predicted=[0.90180843 0.09819157] X=[-0.30195909 -0.37943543 -0.94367336 1.16504753 0.23929812 -0.01811689 0.17977578 0.91373707 -0.58460464 1.57870931 -0.90554379], Predicted=[0.85825474 0.14174526] X=[-0.18344508 0.51356116 0.2132802 0.04112856 -0.17268156 -0.07692173 -0.5262108 -0.93538922 -1.44561627 -1.57602562 1.36996334], Predicted=[0.71912002 0.28087998] X=[ 0.76466702 -0.9747665 0.29591974 -0.03774295 0.1935226 -0.84138474 -0.00848731 0.47904192 0.077712 0.527131 -0.01159456], Predicted=[0.86910624 0.13089376] X=[ 0.05358295 -1.07398834 -0.69575474 -0.94476527 0.05619604 -0.07692173 -0.14968462 -0.87854447 -0.18721466 -0.08628968 0.71981845], Predicted=[0.7013966 0.2986034] X=[ 0.29061097 -1.47087572 0.54383836 -1.02363678 0.05619604 1.09917519 -0.10261885 -0.27665888 0.74002864 4.20765509 -0.58047134], Predicted=[0.63785139 0.36214861] X=[ 0.64615301 -0.9747665 0.70911744 -0.84617589 -0.44733468 -0.13572658 1.14462409 -0.07603035 1.40234528 -0.69971036 0.06967355], Predicted=[0.82644742 0.17355258] X=[ 0.88318104 0.8112267 0.87439652 0.37633246 9.57750418 -0.42975081 0.08564423 0.59273142 -0.45214131 -0.52444731 -0.2553989 ], Predicted=[0.99767328 0.00232672] X=[-0.89452915 -0.0817699 -0.11727796 -1.04335466 -0.53888572 -0.6649702 -0.66740811 -1.41355388 1.13741862 -0.78734189 1.61376767], Predicted=[0.52907821 0.47092179] X=[-2.07966928 0.71200485 -0.6131152 0.08056431 -0.53888572 0.04068796 -0.43207925 -0.71804165 1.26988195 -0.78734189 0.80108656], Predicted=[0.65041389 0.34958611] X=[-0.06493106 1.70422329 -0.28255704 1.06645815 2.20764547 -0.72377504 -0.97333563 0.99398848 -0.6508363 -0.43681578 -0.74300757], Predicted=[0.98271932 0.01728068] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[ 0.527639 0.51356116 0.54383836 0.09042325 -0.35578364 -0.19453143 -0.00848731 -0.67791594 -1.04822629 -1.66365715 1.126159 ], Predicted=[0.72575541 0.27424459] X=[-0.06493106 0.01745194 0.54383836 3.07768157 0.10197156 0.74634612 0.67396638 2.33151201 -1.71054293 0.08897337 -1.47442057], Predicted=[0.93997344 0.06002656] X=[ 0.40912499 -1.27243203 0.46119882 -0.90532952 -0.12690604 -0.84138474 0.48570329 0.25835054 2.19712525 -0.17392121 -0.41793512], Predicted=[0.87925307 0.12074693] X=[-0.06493106 1.10889223 0.04800112 0.19887157 -1.179743 0.15829765 -0.12615174 -0.63779023 -0.05475133 -0.43681578 1.20742712], Predicted=[0.54483733 0.45516267] X=[-0.4204731 0.41433932 0.04800112 -0.13633233 -0.08113052 -0.48855566 -1.11453294 -0.73141688 0.60756531 0.96528863 1.20742712], Predicted=[0.5285159 0.4714841] X=[ 0.88318104 0.11667379 -0.6131152 0.02141068 -0.17268156 -0.19453143 0.50923618 0.12459818 -0.31967798 -0.17392121 0.15094166], Predicted=[0.83620979 0.16379021] X=[-1.13155718 1.60500145 0.2132802 -0.76730438 -0.7219878 -1.37062835 -1.53812488 -0.67457213 0.21017533 -0.08628968 0.23220977], Predicted=[0.91862835 0.08137165] X=[-0.53898711 0.61278301 0.87439652 0.35661459 -0.12690604 1.09917519 1.47408449 0.49576096 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.94024024 0.05975976] X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388] X=[-0.18344508 2.20033252 2.44454779 1.38194417 1.47523716 2.68690605 2.34480127 1.59587407 -0.71706797 -0.43681578 -1.06808001], Predicted=[0.99032158 0.00967842] X=[ 0.40912499 -0.57787912 1.28759423 -1.06307253 -0.035355 -0.07692173 0.03857846 -1.34667771 -0.91576296 -1.31313104 1.7763039 ], Predicted=[0.68851489 0.31148511] X=[ 0.76466702 0.21589563 -1.0263129 0.03126962 -0.90508988 -0.13572658 0.10917712 -0.53078835 -1.77677459 -1.22549952 0.47601411], Predicted=[0.75563094 0.24436906] X=[-0.77601514 -0.23060267 -0.77839428 -0.9250474 -0.31000812 6.06818472 3.14491938 0.16472389 2.26335691 0.35186795 -0.74300757], Predicted=[0.7984791 0.2015209] X=[-1.72412724 3.14294004 -1.93534784 -0.70815075 -0.17268156 -0.5473605 -1.37339468 -0.27665888 1.13741862 -0.96260494 -0.9868119 ], Predicted=[0.97884149 0.02115851] X=[-0.53898711 -0.28021359 -0.44783612 -0.29407534 -0.7219878 -0.37094597 -0.94980274 -1.26642629 -0.6508363 0.79002558 1.85757201], Predicted=[0.33842874 0.66157126] X=[ 0.05358295 1.20811407 -0.94367336 -0.08703764 1.61256372 2.39288182 3.87443884 1.01070752 1.40234528 0.70239405 -0.90554379], Predicted=[0.97425077 0.02574923] X=[ 0.64615301 0.8112267 -0.86103382 -0.88561164 -1.31706956 -0.25333627 -1.63225643 -1.61418241 -1.71054293 -1.13786799 1.61376767], Predicted=[0.54658574 0.45341426] X=[ 0.40912499 -1.17321019 0.13064066 -1.02363678 -0.67621228 -0.48855566 -1.27926314 -0.41041123 0.93872363 -1.31313104 -0.49920323], Predicted=[0.82773206 0.17226794] X=[-0.77601514 -0.67710097 -1.27423152 1.02702239 -0.08113052 1.51080912 0.39157175 0.84351708 -0.31967798 0.26423642 -0.90554379], Predicted=[0.84688167 0.15311833] X=[-0.53898711 1.00967039 -0.77839428 0.15943582 0.05619604 0.33471219 0.29744021 0.67298283 -0.51837298 0.96528863 -1.06808001], Predicted=[0.96711943 0.03288057] X=[-0.53898711 0.11667379 0.87439652 -0.55040774 6.92252402 2.33407697 1.05049255 0.05772201 -1.18068962 -0.96260494 -1.14934812], Predicted=[0.99758773 0.00241227] X=[ 0.05358295 0.21589563 0.2132802 -0.37294685 0.37662468 -0.25333627 1.52115026 0.36869623 1.40234528 0.70239405 -0.09286267], Predicted=[0.91276165 0.08723835] X=[-0.30195909 0.71200485 -0.36519658 1.57912294 -0.08113052 1.09917519 0.90929523 1.69618834 -0.12098299 0.79002558 -1.31188435], Predicted=[0.94529415 0.05470585] X=[-0.4204731 -0.57787912 0.95703606 0.31717883 0.33084916 0.9815655 1.35642006 0.62616951 0.27640699 -0.08628968 -1.14934812], Predicted=[0.93385945 0.06614055] X=[ 1.71277913 -1.27243203 0.46119882 -1.0039189 0.4224002 -0.19453143 0.17977578 -0.34353506 -0.71706797 -0.87497341 -0.01159456], Predicted=[0.88343206 0.11656794] X=[ 0.29061097 0.51356116 2.52718733 1.34250842 0.46817572 -1.37062835 -0.78507254 1.06086466 -0.91576296 -0.87497341 -1.06808001], Predicted=[0.96759647 0.03240353] X=[-1.01304317 0.01745194 -0.69575474 -0.90532952 -0.17268156 -1.60584774 -0.71447388 -0.37697314 -0.71706797 0.527131 -1.23061624], Predicted=[0.96620229 0.03379771] X=[ 0.88318104 -0.67710097 0.13064066 -1.02363678 -0.21845708 -1.66465259 -0.76153965 -0.87854447 -0.8495313 -0.34918426 0.63855033], Predicted=[0.80584705 0.19415295] X=[-0.4204731 -0.57787912 -0.36519658 0.19887157 -0.81353884 -1.13540897 -1.20866448 -0.30675316 -0.25344632 0.61476253 0.31347789], Predicted=[0.63474536 0.36525464] X=[-0.18344508 -0.37943543 -0.36519658 0.08056431 -0.35578364 1.09917519 -0.26734905 -0.27665888 0.93872363 -0.26155273 0.88235467], Predicted=[0.5080859 0.4919141] X=[ 0.64615301 0.31511748 -0.44783612 -0.94476527 0.1935226 -0.13572658 -0.0320202 -0.37697314 0.8062603 0.61476253 -0.01159456], Predicted=[0.84469762 0.15530238] X=[ 0.29061097 -0.77632281 -0.1999175 0.19887157 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=[0.84528929 0.15471071] X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=[0.76279697 0.23720303] X=[ 0.17209696 0.11667379 1.28759423 -0.51097199 0.05619604 0.09949281 -0.05555308 -0.07603035 -1.5780796 -0.78734189 -0.90554379], Predicted=[0.97149758 0.02850242] X=[ 0.64615301 -0.0817699 1.20495468 -1.04335466 0.05619604 -1.07660412 -0.14968462 -0.87854447 0.01148034 0.00134185 0.88235467], Predicted=[0.79925731 0.20074269] X=[ 2.06832116 -0.57787912 -0.03463842 -1.02363678 -0.67621228 0.15829765 -1.0204014 -0.54750739 -2.37285957 -1.57602562 -0.17413078], Predicted=[0.90214046 0.09785954] X=[-0.30195909 -0.28021359 -0.77839428 -0.9250474 0.10197156 -0.5473605 -0.33794771 0.05772201 1.20365029 0.96528863 -0.33666701], Predicted=[0.90926712 0.09073288] X=[-2.07966928e+00 -1.80991745e-01 4.80011213e-02 1.69280668e-03 -5.38885719e-01 -5.47360505e-01 -9.26269854e-01 1.54692461e-01 2.76406991e-01 -6.99710361e-01 -1.06808001e+00], Predicted=[0.94934717 0.05065283] X=[ 0.29061097 -1.57009756 -0.11727796 0.63266486 0.37662468 1.68722366 0.55630195 0.72648377 1.40234528 -0.69971036 -0.90554379], Predicted=[0.73512585 0.26487415] X=[ 1.23872307 0.71200485 -0.44783612 1.28335479 -0.63043676 -1.31182351 -1.77345374 -0.27665888 -1.31315295 -0.52444731 2.02010823], Predicted=[0.3326155 0.6673845] X=[ 0.64615301 -0.18099175 0.29591974 0.59322911 0.05619604 0.39351704 0.20330866 1.39524554 1.79973526 2.01686694 -0.41793512], Predicted=[0.83760801 0.16239199] X=[-1.13155718 -0.37943543 0.04800112 -0.86589377 -0.40155916 0.27590734 -0.71447388 -1.52055577 0.01148034 0.08897337 1.45123145], Predicted=[0.48206016 0.51793984] X=[-0.77601514 0.91044854 -0.94367336 0.37633246 -0.9508654 0.04068796 1.82707778 0.79335995 0.93872363 0.96528863 -0.74300757], Predicted=[0.91709346 0.08290654] X=[ 0.29061097 0.31511748 -0.69575474 0.94815089 0.10197156 -0.19453143 -0.05555308 0.87026755 -0.31967798 -0.78734189 -0.82427568], Predicted=[0.92238699 0.07761301] X=[ 0.40912499 0.01745194 -0.6131152 1.20448328 0.01042052 0.74634612 0.95636101 1.16117892 -0.58460464 0.26423642 -1.23061624], Predicted=[0.91084145 0.08915855] X=[ 0.17209696 0.11667379 1.70079193 0.8495615 0.01042052 1.39319943 2.25066972 0.86023613 -0.91576296 1.05292016 -0.82427568], Predicted=[0.92298378 0.07701622] X=[-1.01304317 -0.57787912 -0.44783612 -1.04335466 -0.53888572 0.68754127 -1.13806583 -1.80812333 0.21017533 -0.96260494 1.69503579], Predicted=[0.36610084 0.63389916] X=[-0.53898711 0.31511748 0.54383836 0.00169281 -0.31000812 0.2171025 1.23875564 0.36869623 -0.31967798 0.26423642 -0.58047134], Predicted=[0.94634648 0.05365352] X=[-0.06493106 -0.67710097 1.78343147 1.61855869 0.33084916 -0.07692173 0.48570329 1.34508841 -1.71054293 -0.43681578 -1.06808001], Predicted=[0.95758835 0.04241165] X=[-0.18344508 0.31511748 0.70911744 0.00169281 0.51395124 -0.60616535 0.22684155 0.49241715 -0.18721466 -0.34918426 -0.74300757], Predicted=[0.96947201 0.03052799] X=[ 1.71277913 -1.37165388 0.95703606 -0.96448315 -0.31000812 -1.01779928 -0.94980274 -0.62775881 -1.11445795 0.61476253 0.394746 ], Predicted=[0.73855111 0.26144889] X=[ 0.40912499 -1.37165388 -0.11727796 -1.04335466 -1.08819196 0.74634612 -0.5262108 -0.61772738 -0.98199462 1.57870931 -0.41793512], Predicted=[0.72126793 0.27873207] X=[-1.13155718 1.65461237 -0.6131152 -0.98420103 -0.85931436 -0.72377504 -0.690941 -0.851794 0.74002864 -1.13786799 -0.01159456], Predicted=[0.91311774 0.08688226] X=[ 3.25346129 3.7382711 -1.0263129 -0.86589377 -0.31000812 -0.84138474 -0.43207925 -0.71804165 -1.24692128 4.47054967 1.69503579], Predicted=[0.64920836 0.35079164] X=[-0.77601514 1.10889223 -0.77839428 -0.31379322 -0.40155916 0.56993158 -0.00848731 -0.76485497 0.27640699 -0.52444731 0.55728222], Predicted=[0.75148471 0.24851529] X=[ 0.527639 0.01745194 0.2132802 1.24391904 -0.2642326 0.15829765 0.03857846 1.32836936 0.74002864 2.63028763 -0.74300757], Predicted=[0.76834399 0.23165601] X=[ 3.13494728 -0.67710097 1.12231514 -1.0039189 -0.31000812 -0.84138474 -0.3614806 0.62616951 -1.90923792 1.31581474 -0.82427568], Predicted=[0.96674647 0.03325353] X=[ 1.35723709 -0.47865728 0.29591974 0.63266486 0.37662468 -0.72377504 0.48570329 1.31165032 0.87249197 -0.17392121 -0.58047134], Predicted=[0.91804678 0.08195322] X=[ 0.88318104 1.00967039 -1.10895244 -0.58984349 0.01042052 -1.54704289 -0.5262108 0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=[0.9674795 0.0325205] X=[-0.89452915 1.00967039 -1.60478968 -0.49125411 0.6512778 -0.48855566 -0.59680945 -0.19640747 -0.78329963 -1.31313104 -1.06808001], Predicted=[0.97938315 0.02061685] X=[ 0.40912499 0.61278301 -0.28255704 0.39605034 0.23929812 0.27590734 0.67396638 1.18124177 1.93219859 1.14055168 -0.66173945], Predicted=[0.90525134 0.09474866] X=[-1.13155718 2.59721989 -2.76174325 -1.10250829 -0.63043676 -1.37062835 -1.32632891 -0.39034838 0.40887032 -1.13786799 -1.39315246], Predicted=[0.98391153 0.01608847] X=[-2.07966928 -1.12359927 -0.94367336 -0.13633233 0.05619604 0.39351704 0.17977578 -0.2097827 -0.05475133 0.527131 -0.49920323], Predicted=[0.86000696 0.13999304] X=[-1.25007119 -0.57787912 -0.28255704 -1.04335466 0.05619604 0.04068796 -0.17321751 -0.67791594 0.47510198 -0.34918426 -0.09286267], Predicted=[0.88766619 0.11233381] X=[ 3.49048932 -0.28021359 3.35358273 0.71153637 0.46817572 0.04068796 2.03887375 1.2280551 -0.8495313 -0.52444731 -0.41793512], Predicted=[0.93026867 0.06973133] X=[ 3.72751734 6.26842813 0.70911744 -0.94476527 0.46817572 -0.07692173 1.00342678 0.9271123 -0.51837298 -0.26155273 -0.41793512], Predicted=[0.99768807 0.00231193] X=[ 0.17209696 -1.57009756 -1.19159198 -0.29407534 0.4224002 -0.48855566 -0.26734905 0.42554098 0.67379698 -0.69971036 -0.90554379], Predicted=[0.90903135 0.09096865] X=[-0.77601514 -1.17321019 0.04800112 -0.9250474 -0.35578364 2.92212543 0.34450598 -1.04573491 0.93872363 3.24370831 1.20742712], Predicted=[0.22985619 0.77014381] X=[-2.19818329 0.21589563 -0.03463842 -0.53068986 -0.7219878 1.09917519 0.81516369 -1.78137286 1.13741862 -1.66365715 2.02010823], Predicted=[0.33950889 0.66049111] X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=[0.67497546 0.32502454] X=[ 0.76466702 -0.67710097 2.85774549 0.88899726 -0.035355 0.15829765 -0.12615174 1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=[0.97315091 0.02684909] X=[ 1.12020906 0.11667379 -0.94367336 0.61294698 0.46817572 0.51112673 1.75647912 1.04414561 -0.71706797 1.05292016 -0.9868119 ], Predicted=[0.93367884 0.06632116] X=[-0.30195909 0.8112267 -0.36519658 -0.94476527 -1.13396748 -0.6649702 -1.25573025 -1.46371102 1.46857694 1.05292016 1.53249956], Predicted=[0.30918966 0.69081034] X=[-0.89452915 2.69644174 -1.52215014 0.67210061 -0.67621228 -0.95899443 -0.31441482 0.55929333 1.13741862 -0.17392121 -0.2553989 ], Predicted=[0.92388912 0.07611088] X=[-0.77601514 0.31511748 -1.0263129 -0.01802507 -0.21845708 0.86395581 1.87414355 0.02428392 -0.25344632 0.96528863 -0.41793512], Predicted=[0.87838454 0.12161546] X=[ 1.00169505 0.21589563 0.70911744 1.55940506 -0.035355 0.56993158 1.75647912 1.69618834 -0.05475133 1.22818321 -1.06808001], Predicted=[0.90586505 0.09413495] X=[-0.65750113 -0.37943543 3.35358273 -0.98420103 5.77813603 -0.6649702 -0.71447388 -0.27665888 0.54133365 -0.87497341 -0.49920323], Predicted=[0.99461038 0.00538962] X=[ 0.88318104 -0.0817699 1.53551285 -0.62927925 -0.12690604 -0.42975081 0.32097309 -0.91532637 -1.11445795 0.35186795 0.71981845], Predicted=[0.74569038 0.25430962] X=[ 0.64615301 -0.28021359 -0.36519658 0.08056431 -1.179743 -0.25333627 -0.59680945 -0.21647032 -0.38590965 -1.75128867 0.23220977], Predicted=[0.72309202 0.27690798] X=[ 1.71277913 0.21589563 0.2132802 0.71153637 -0.17268156 -0.13572658 0.72103215 1.39524554 0.27640699 0.1766049 -0.9868119 ], Predicted=[0.93130459 0.06869541] X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715 -0.44733468 -1.07660412 -0.50267791 0.02762773 1.13741862 1.66634084 -0.33666701], Predicted=[0.80755381 0.19244619] X=[-0.65750113 0.71200485 -0.28255704 -0.13633233 -0.4931102 -1.60584774 -0.97333563 -0.44384932 0.54133365 -0.69971036 0.394746 ], Predicted=[0.82150271 0.17849729] X=[ 1.83129314 -0.77632281 -0.53047566 -0.01802507 0.10197156 -0.31214112 0.10917712 0.86023613 0.40887032 0.08897337 -1.14934812], Predicted=[0.90653294 0.09346706] X=[ 0.64615301 0.01745194 -0.69575474 1.08617602 0.33084916 -0.60616535 0.22684155 1.19461701 -0.58460464 1.14055168 -1.06808001], Predicted=[0.92126633 0.07873367] X=[ 1.12020906 -0.57787912 -0.6131152 0.5143576 0.05619604 0.15829765 -0.14968462 0.99398848 0.40887032 0.35186795 -0.2553989 ], Predicted=[0.83906646 0.16093354] X=[ 0.17209696 -0.28021359 0.95703606 -0.80674014 -0.035355 0.27590734 -0.47914502 -1.13267394 -0.18721466 -0.08628968 1.126159 ], Predicted=[0.61885194 0.38114806] X=[-1.13155718 0.11667379 -0.44783612 -0.62927925 -0.4931102 -1.13540897 -0.50267791 -1.48377387 0.47510198 -0.61207884 1.69503579], Predicted=[0.49084963 0.50915037] X=[-0.30195909 -1.37165388 0.87439652 -0.94476527 -0.17268156 0.68754127 0.03857846 -0.34353506 0.87249197 0.1766049 -0.2553989 ], Predicted=[0.81588541 0.18411459] X=[ 0.527639 -0.18099175 1.61815239 1.24391904 0.05619604 1.4814067 0.61513416 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=[0.95061105 0.04938895] X=[-0.30195909 1.00967039 -0.36519658 -0.68843288 -0.4931102 -1.19421382 -0.87920408 -1.62755765 -0.98199462 -1.05023647 1.61376767], Predicted=[0.64772058 0.35227942] X=[ 0.88318104 0.8112267 1.28759423 0.96786876 0.01042052 3.03973513 1.94474221 1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=[0.96950898 0.03049102] X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958 -0.45561214 -0.35691029 -0.12098299 0.527131 0.55728222], Predicted=[0.69194607 0.30805393] X=[ 0.64615301 0.21589563 -0.94367336 -0.98420103 0.01042052 -1.13540897 -0.07908597 -0.41041123 -0.71706797 2.45502457 -0.09286267], Predicted=[0.87627791 0.12372209] X=[ 1.12020906 1.40655776 -0.6131152 0.55379335 0.55972676 -0.07692173 1.42701872 1.06086466 -0.31967798 0.527131 -0.9868119 ], Predicted=[0.9664303 0.0335697] X=[-0.30195909 -1.27243203 -0.11727796 -0.0771787 -0.58466124 1.39319943 -0.24381617 -0.70466641 0.01148034 1.92923542 1.28869523], Predicted=[0.2472623 0.7527377] X=[-0.89452915 0.8112267 -0.53047566 -0.84617589 -0.4931102 -1.13540897 -0.90273697 -0.7782302 1.40234528 1.92923542 0.80108656], Predicted=[0.67825641 0.32174359] X=[-1.60561323e+00 4.14339320e-01 9.57036064e-01 -2.94075343e-01 -8.13538839e-01 -6.06165351e-01 1.23875564e+00 -6.11039762e-01 2.13089358e+00 1.34184656e-03 8.01086557e-01], Predicted=[0.67240885 0.32759115] X=[ 0.05358295 -0.28021359 0.54383836 -1.0039189 -0.35578364 -0.78257989 -0.87920408 -1.31323962 -1.04822629 -0.87497341 0.71981845], Predicted=[0.7717949 0.2282051] X=[-1.13155718 -0.18099175 0.54383836 -1.0039189 0.05619604 -1.37062835 0.01504558 0.15803627 1.7335036 0.35186795 -0.09286267], Predicted=[0.95539588 0.04460412] X=[-0.18344508 0.31511748 -0.1999175 0.69181849 -0.2642326 -1.48823805 0.86222946 0.42554098 1.79973526 0.527131 0.71981845], Predicted=[0.67788383 0.32211617] X=[ 0.527639 -0.37943543 -0.36519658 -1.02363678 -0.40155916 0.09949281 -0.97333563 -0.47728741 0.01148034 1.84160389 -0.33666701], Predicted=[0.77872602 0.22127398] X=[ 1.59426511 0.31511748 0.79175698 0.12000007 0.05619604 -1.01779928 -1.20866448 0.75323424 0.27640699 1.31581474 0.06967355], Predicted=[0.8751835 0.1248165] X=[-1.60561323 -1.37165388 -0.53047566 -0.35322897 -0.76776332 -0.78257989 -0.80860543 0.29178862 1.0049553 -0.43681578 -1.23061624], Predicted=[0.92504221 0.07495779] X=[ 0.40912499 -0.37943543 -0.44783612 -0.88561164 -0.63043676 -0.31214112 -1.09100005 -0.87854447 -0.58460464 -0.87497341 0.31347789], Predicted=[0.76651535 0.23348465] X=[ 0.88318104 -0.0817699 0.70911744 -0.74758651 -0.08113052 -0.37094597 -0.66740811 -0.94542065 0.8062603 0.1766049 1.7763039 ], Predicted=[0.45936992 0.54063008] X=[ 1.4757511 0.01745194 0.54383836 0.10028219 0.1935226 -0.31214112 -0.97333563 0.3586648 0.47510198 -0.43681578 -0.33666701], Predicted=[0.84419823 0.15580177] X=[ 0.29061097 -0.0817699 -0.77839428 1.22420116 -0.08113052 0.74634612 -0.47914502 1.08092751 -0.98199462 0.61476253 -0.41793512], Predicted=[0.86018647 0.13981353] X=[ 2.30534919 0.61278301 -0.03463842 0.65238274 -0.44733468 0.62873642 0.79163081 0.86023613 -0.71706797 -0.78734189 -0.2553989 ], Predicted=[0.87342523 0.12657477] X=[-0.18344508 -0.0817699 -0.69575474 0.31717883 0.33084916 1.09917519 1.49761738 0.69304568 0.21017533 -0.52444731 -0.9868119 ], Predicted=[0.93854664 0.06145336] X=[-0.53898711 -1.27243203 -0.69575474 0.27774308 0.1935226 -1.31182351 -1.65578931 -0.02921702 -0.18721466 -0.78734189 -0.49920323], Predicted=[0.82774811 0.17225189] X=[ 0.17209696 -0.28021359 -0.36519658 1.73686595 0.05619604 0.27590734 0.76809792 1.39524554 0.21017533 -0.34918426 -0.9868119 ], Predicted=[0.86259381 0.13740619] X=[-0.18344508 0.8112267 -0.44783612 0.37633246 -0.53888572 -0.37094597 -1.3498618 -0.84176257 -1.51184794 -0.87497341 1.61376767], Predicted=[0.58529573 0.41470427] X=[ 0.76466702 -0.57787912 -0.36519658 -0.31379322 0.1935226 -0.13572658 -1.20866448 -0.00915417 -0.31967798 -0.61207884 -0.49920323], Predicted=[0.87714431 0.12285569] X=[ 0.40912499 -0.37943543 -0.36519658 -0.82645801 -0.40155916 0.09949281 -0.8556712 -0.67791594 0.54133365 1.31581474 0.394746 ], Predicted=[0.59863252 0.40136748] X=[ 1.35723709 -0.37943543 -0.28255704 2.18051818 0.46817572 0.45232188 1.07402544 1.89681687 -0.91576296 0.08897337 -1.06808001], Predicted=[0.89270542 0.10729458] X=[-0.89452915 1.00967039 -1.10895244 0.04112856 -0.58466124 -0.60616535 -0.0320202 -0.07603035 0.74002864 1.75397237 -0.09286267], Predicted=[0.78955035 0.21044965] X=[ 0.17209696 0.71200485 -0.28255704 0.02141068 -0.81353884 -0.48855566 -1.20866448 -0.14290653 1.40234528 -0.61207884 0.71981845], Predicted=[0.6503348 0.3496652] X=[ 3.25346129 -0.28021359 1.70079193 -1.0039189 -0.2642326 -1.13540897 0.50923618 -0.07603035 -1.64431127 -0.52444731 -0.01159456], Predicted=[0.93444153 0.06555847] X=[-0.65750113 0.61278301 -0.44783612 1.63827657 0.05619604 0.80515096 1.40348584 1.2280551 0.27640699 -0.26155273 -0.82427568], Predicted=[0.90034513 0.09965487] X=[ 0.05358295 -0.28021359 -0.6131152 -0.23492171 -0.99664092 0.04068796 -0.07908597 0.25835054 -0.18721466 2.01686694 0.15094166], Predicted=[0.7928332 0.2071668] X=[ 0.17209696 0.41433932 0.13064066 -0.96448315 -0.31000812 -0.6649702 -0.31441482 -0.74479212 -0.12098299 1.31581474 1.36996334], Predicted=[0.74690812 0.25309188] X=[-0.53898711 1.60500145 -0.6131152 -0.86589377 0.37662468 -0.90018958 0.97989389 0.39210289 2.59451523 0.70239405 -0.41793512], Predicted=[0.9659065 0.0340935] X=[-0.4204731 -0.37943543 -0.44783612 -1.04335466 -0.53888572 -0.5473605 -1.30279603 -1.58743194 0.40887032 -1.40076257 1.45123145], Predicted=[0.49191894 0.50808106] X=[-0.4204731 -1.47087572 -0.53047566 -0.74758651 -0.4931102 -0.19453143 -1.46752623 -0.87854447 0.14394366 2.36739305 0.6656397 ], Predicted=[0.41655537 0.58344463] X=[-0.06493106 0.91044854 1.45287331 1.06645815 -0.08113052 1.56961397 0.57983483 1.19461701 0.01148034 -0.43681578 -1.39315246], Predicted=[0.95565474 0.04434526] X=[-0.65750113 -0.77632281 0.29591974 1.06645815 -0.035355 1.33439458 -0.1967504 0.38875908 0.077712 -1.22549952 0.23220977], Predicted=[0.70125487 0.29874513] X=[ 1.00169505 -0.18099175 -0.11727796 -1.02363678 -0.2642326 -0.5473605 -0.50267791 -0.34353506 0.14394366 0.61476253 0.23220977], Predicted=[0.83634626 0.16365374] X=[-1.25007119 -0.47865728 -0.1999175 -0.57012562 -0.08113052 -0.01811689 0.46217041 -1.35336532 0.01148034 -1.05023647 1.28869523], Predicted=[0.59668308 0.40331692] X=[ 0.527639 0.41433932 -0.86103382 1.4410978 0.1935226 0.80515096 1.37995295 1.49555981 0.077712 -0.26155273 -1.47442057], Predicted=[0.93326212 0.06673788] X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767] X=[ 0.88318104 0.31511748 -0.77839428 -0.90532952 -0.40155916 0.2171025 0.27390732 -0.91198256 -0.91576296 -0.43681578 1.04489089], Predicted=[0.74516336 0.25483664] X=[ 0.05358295 -0.57787912 -0.1999175 -0.01802507 -0.76776332 0.33471219 -0.17321751 -0.25659603 -0.71706797 0.00134185 0.23220977], Predicted=[0.71730422 0.28269578] X=[-0.4204731 0.11667379 -0.28255704 0.54393441 0.23929812 -0.60616535 0.65043349 -0.21312651 0.34263866 0.61476253 0.6656397 ], Predicted=[0.6407296 0.3592704] X=[-1.13155718 -1.37165388 -1.10895244 -0.94476527 -0.2642326 -0.5473605 -0.57327657 -0.99557778 0.40887032 -0.34918426 0.71981845], Predicted=[0.67134005 0.32865995] X=[ 0.88318104 0.71200485 1.0396756 1.63827657 0.05619604 -0.13572658 0.29744021 1.02408276 -1.04822629 0.35186795 -0.17413078], Predicted=[0.8577952 0.1422048] X=[-1.48709922 -1.27243203 -0.1999175 -0.21520384 -0.35578364 -1.60584774 -1.39692757 -0.57760167 0.74002864 -0.87497341 -0.01159456], Predicted=[0.74795942 0.25204058] X=[-0.53898711 -0.37943543 -0.1999175 -0.70815075 -0.35578364 0.33471219 -0.57327657 -0.82838734 1.20365029 1.49107779 0.96362278], Predicted=[0.46647782 0.53352218] X=[ 3.49048932 1.60500145 0.54383836 -0.70815075 -0.44733468 -0.01811689 0.67396638 0.52585524 -1.44561627 -0.87497341 -1.06808001], Predicted=[0.97895099 0.02104901] X=[-0.06493106 0.11667379 1.37023377 1.3622263 0.33084916 0.74634612 1.30935429 1.12774083 -0.6508363 -0.34918426 -0.90554379], Predicted=[0.93884843 0.06115157] X=[ 1.47575110e+00 -2.80213589e-01 4.80011213e-02 7.31254243e-01 1.93522599e-01 -3.12141119e-01 -4.08546368e-01 1.07423989e+00 -1.20982993e-01 1.34184656e-03 -3.36667007e-01], Predicted=[0.88352369 0.11647631] X=[ 0.29061097 -0.47865728 -0.28255704 -0.74758651 -0.53888572 1.56961397 0.22684155 -0.94207684 -1.04822629 0.61476253 0.63855033], Predicted=[0.60981351 0.39018649] X=[-0.65750113 0.51356116 0.70911744 2.13122349 -0.40155916 1.27558973 0.74456503 1.60924931 0.47510198 0.70239405 -0.90554379], Predicted=[0.84296624 0.15703376] X=[ 0.527639 -1.07398834 -0.77839428 0.33689671 3.44358451 -0.19453143 0.55630195 0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=[0.93707292 0.06292708] X=[-0.89452915 -0.57787912 1.28759423 -0.96448315 0.23929812 -1.01779928 -1.20866448 -0.41041123 0.74002864 -0.26155273 -0.74300757], Predicted=[0.93743005 0.06256995] X=[ 0.40912499 2.29955436 -0.77839428 0.71153637 2.16186995 -0.01811689 1.37995295 1.36180745 1.46857694 -0.17392121 -1.23061624], Predicted=[0.98600531 0.01399469] X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=[0.77032992 0.22967008] X=[-0.30195909 0.51356116 -0.11727796 1.81573746 0.37662468 1.56961397 2.08593952 1.10767798 0.40887032 0.61476253 -0.09286267], Predicted=[0.75930003 0.24069997] X=[ 0.88318104 0.41433932 0.13064066 -0.94476527 2.11609443 -0.6649702 -0.00848731 0.11791056 0.01148034 -0.43681578 -0.58047134], Predicted=[0.98276341 0.01723659] X=[-1.01304317 -0.37943543 -0.53047566 -0.88561164 0.10197156 0.27590734 0.74456503 -0.07603035 2.99190522 0.43949948 -0.41793512], Predicted=[0.83528073 0.16471927] X=[-0.18344508 1.30733592 -0.77839428 -0.19548596 -0.4931102 -0.13572658 -0.54974368 -1.31323962 -0.45214131 -0.43681578 1.93342224], Predicted=[0.45906695 0.54093305] X=[ 2.89791925 0.31511748 1.28759423 -1.0039189 -0.17268156 -0.07692173 0.20330866 0.25835054 -0.51837298 -0.26155273 -0.58047134], Predicted=[0.95014856 0.04985144] X=[ 1.00169505 -1.17321019 0.2132802 -0.09689658 0.37662468 -0.60616535 0.22684155 0.5860438 0.40887032 0.43949948 -0.2553989 ], Predicted=[0.87585869 0.12414131] X=[-1.3685852 0.01745194 -0.44783612 -0.82645801 -1.22551852 -1.19421382 -1.72638797 -1.27980153 -0.8495313 0.26423642 0.55728222], Predicted=[0.73098181 0.26901819] X=[-0.4204731 -0.57787912 -0.11727796 -0.82645801 -0.81353884 0.04068796 -1.09100005 -1.09254824 0.54133365 0.87765711 1.126159 ], Predicted=[0.43274045 0.56725955] X=[-1.13155718 -0.67710097 -0.1999175 -0.90532952 -0.58466124 0.56993158 0.08564423 -1.40017865 1.07118696 0.08897337 1.7763039 ], Predicted=[0.34981895 0.65018105] X=[ 1.71277913 -0.18099175 -0.1999175 -0.86589377 -0.76776332 -1.25301866 0.06211135 -1.08920443 -1.5780796 2.45502457 1.36996334], Predicted=[0.47738163 0.52261837] X=[-0.4204731 -0.18099175 -0.1999175 -0.55040774 -0.7219878 0.04068796 -1.09100005 -1.25973868 0.21017533 1.14055168 1.69503579], Predicted=[0.30744448 0.69255552] X=[ 1.12020906 6.81414827 2.19662917 11.71411154 1.29213508 -1.60584774 0.50923618 15.03129798 1.33611362 1.75397237 0.96362278], Predicted=[9.99994668e-01 5.33199113e-06] X=[ 0.05358295 -0.87554465 0.13064066 -0.9250474 -0.44733468 -0.13572658 -0.87920408 -0.29337792 0.14394366 0.43949948 0.23220977], Predicted=[0.82896009 0.17103991] X=[ 0.05358295 1.10889223 0.54383836 -0.35322897 -1.08819196 -1.78226228 -2.80890071 -0.84510638 0.8062603 -1.05023647 1.69503579], Predicted=[0.58614918 0.41385082] X=[-1.48709922e+00 -1.80991745e-01 1.37023377e+00 9.87586640e-01 -7.67763319e-01 -6.06165351e-01 -1.06746717e+00 8.44724758e-02 2.76406991e-01 1.34184656e-03 -1.15945603e-02], Predicted=[0.712726 0.287274] X=[ 0.40912499 1.10889223 2.44454779 0.90871513 -0.08113052 1.15798004 0.41510463 1.12774083 -0.6508363 -0.43681578 -1.47442057], Predicted=[0.97224202 0.02775798] X=[ 0.40912499 0.71200485 0.04800112 1.18476541 0.23929812 -1.72345743 -2.38530877 0.12459818 -0.38590965 -0.87497341 0.80108656], Predicted=[0.70429161 0.29570839] X=[-1.25007119 -1.27243203 -0.1999175 -0.09689658 -0.44733468 -1.66465259 -1.53812488 -0.83841876 0.077712 -0.52444731 1.126159 ], Predicted=[0.55360138 0.44639862] X=[ 2.18683518 1.70422329 0.54383836 -0.96448315 0.97170644 -1.07660412 -0.90273697 0.55929333 0.54133365 0.70239405 -0.33666701], Predicted=[0.97829975 0.02170025] X=[-0.4204731 0.21589563 -0.11727796 -0.86589377 -0.08113052 -0.07692173 -1.13806583 -0.72807307 1.20365029 1.66634084 0.394746 ], Predicted=[0.66862461 0.33137539] X=[ 2.77940524 -1.17321019 1.28759423 -0.86589377 -0.08113052 -1.01779928 -0.73800677 0.37204004 -0.58460464 0.35186795 -0.2553989 ], Predicted=[0.9100145 0.0899855] X=[ 0.29061097 -0.77632281 -0.28255704 -1.08279041 -1.22551852 -1.84106713 -2.59710474 -1.57740052 0.077712 -1.13786799 1.20742712], Predicted=[0.42447039 0.57552961] X=[-0.77601514 -0.18099175 -0.36519658 -0.86589377 -0.44733468 -1.13540897 -1.20866448 -1.07582919 0.93872363 1.05292016 1.04489089], Predicted=[0.55511869 0.44488131] X=[ 0.76466702 0.41433932 1.28759423 -0.9250474 -0.67621228 0.51112673 -0.690941 -1.14604918 -0.78329963 -0.26155273 1.61376767], Predicted=[0.63059373 0.36940627] X=[ 2.54237721 0.31511748 1.20495468 0.04112856 -0.12690604 -1.4294332 -1.53812488 -0.07603035 -1.90923792 -0.96260494 0.88235467], Predicted=[0.84102929 0.15897071] X=[ 0.88318104 0.11667379 -0.6131152 0.02141068 -0.17268156 -0.19453143 0.50923618 0.12459818 -0.31967798 -0.17392121 0.15094166], Predicted=[0.83620979 0.16379021] X=[-0.06493106 -1.07398834 0.2132802 -0.98420103 -0.44733468 0.15829765 -0.71447388 -1.32661485 0.01148034 1.49107779 1.20742712], Predicted=[0.36830492 0.63169508] X=[ 0.64615301 -0.77632281 0.2132802 -1.02363678 -0.35578364 0.51112673 -0.64387523 -0.47728741 1.13741862 -1.31313104 -0.49920323], Predicted=[0.80650414 0.19349586] X=[-0.77601514 0.21589563 -0.44783612 -0.94476527 -0.44733468 -0.42975081 -0.76153965 -1.93351616 -0.31967798 -0.69971036 2.26391257], Predicted=[0.3995249 0.6004751] X=[ 0.17209696 -0.37943543 -0.28255704 0.06084644 -0.31000812 0.09949281 -0.31441482 0.11122295 0.077712 -0.87497341 -0.49920323], Predicted=[0.85105309 0.14894691] X=[-0.30195909 0.51356116 0.54383836 -0.73772757 -0.21845708 -0.01811689 -1.23219737 -1.62755765 -0.51837298 -0.87497341 2.26391257], Predicted=[0.48749973 0.51250027] X=[-0.18344508 -0.57787912 -0.03463842 -1.02363678 -0.44733468 0.04068796 -1.23219737 -1.15273679 -0.58460464 2.36739305 0.71981845], Predicted=[0.54670527 0.45329473] X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 -0.25333627 -0.50267791 1.3785265 0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599] X=[ 1.12020906 -0.87554465 -0.6131152 0.49463972 -0.31000812 0.39351704 1.02695966 0.6596076 -0.05475133 -0.26155273 -0.49920323], Predicted=[0.80309945 0.19690055] X=[ 0.527639 0.61278301 0.46119882 -0.23492171 -0.2642326 0.56993158 0.57983483 -0.5107255 0.74002864 -0.17392121 1.53249956], Predicted=[0.57558082 0.42441918] X=[-0.53898711 -0.47865728 -0.11727796 -0.88561164 -0.35578364 0.27590734 -0.47914502 -1.09923585 0.87249197 0.35186795 1.04489089], Predicted=[0.51308676 0.48691324] X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658 0.05619604 -0.37094597 -0.87920408 -0.41709885 -0.25344632 -0.78734189 0.394746 ], Predicted=[0.77594009 0.22405991] X=[ 1.59426511 0.66239393 5.50221078 2.32840225 0.05619604 1.15798004 1.56821604 1.88009782 -1.51184794 -0.52444731 -0.74300757], Predicted=[0.95050427 0.04949573] X=[ 0.76466702 0.01745194 -0.03463842 0.2580252 0.10197156 0.39351704 0.97989389 1.12774083 1.20365029 0.87765711 -0.33666701], Predicted=[0.90217808 0.09782192] X=[ 0.17209696 0.8112267 -0.11727796 0.7213953 -0.035355 0.09949281 -0.17321751 -0.169657 -0.6508363 -1.40076257 0.96362278], Predicted=[0.73369019 0.26630981] X=[-0.4204731 -1.07398834 1.70079193 0.41576822 1.65833924 1.68722366 0.57983483 0.62616951 -1.97546959 -0.87497341 -1.39315246], Predicted=[0.98104282 0.01895718] X=[-0.06493106 1.50577961 -0.6131152 -0.23492171 -0.12690604 0.27590734 0.88576235 -0.95879588 -0.12098299 -0.69971036 1.45123145], Predicted=[0.67499207 0.32500793] X=[ 1.00169505 0.21589563 -0.6131152 2.47628633 0.33084916 0.04068796 0.83869658 1.91687972 0.077712 0.08897337 -0.09286267], Predicted=[0.79354405 0.20645595] X=[-0.65750113 0.51356116 -1.10895244 2.26924862 0.92593092 0.04068796 0.53276906 1.69618834 -0.31967798 0.1766049 -1.39315246], Predicted=[0.94052897 0.05947103] X=[-1.3685852 1.30733592 -1.0263129 -0.88561164 0.10197156 -0.31214112 -0.62034234 -0.88523209 0.67379698 0.527131 0.55728222], Predicted=[0.85426781 0.14573219] X=[ 0.527639 0.01745194 0.13064066 -0.94476527 0.37662468 -0.25333627 0.22684155 -0.75147973 -0.05475133 -0.17392121 0.15094166], Predicted=[0.84974551 0.15025449] X=[ 2.06832116 0.61278301 0.2132802 -0.98420103 -0.035355 -1.4294332 -0.45561214 0.51248001 -0.12098299 -0.17392121 -0.90554379], Predicted=[0.97802865 0.02197135] X=[ 0.527639 1.10889223 0.29591974 -1.04335466 -0.12690604 0.04068796 -0.59680945 -1.01229682 1.33611362 -0.08628968 1.7763039 ], Predicted=[0.59832194 0.40167806] X=[ 0.88318104 1.90266698 1.28759423 1.30307267 8.84509586 0.39351704 1.92120932 1.59587407 -1.51184794 0.1766049 -1.06808001], Predicted=[9.99281364e-01 7.18636235e-04] X=[ 0.34986798 -1.07398834 -0.77839428 0.63266486 3.35203347 1.21678489 0.93282812 0.5860438 -0.25344632 -0.43681578 -0.2553989 ], Predicted=[0.92270614 0.07729386] X=[-1.3685852 -0.18099175 -0.53047566 -0.45181836 7.1056261 2.2458697 1.20345631 0.05772201 0.54133365 -0.96260494 -0.90554379], Predicted=[0.99450436 0.00549564] X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604 1.62841881 0.25037443 -0.5107255 1.66727194 0.26423642 0.23220977], Predicted=[0.62213385 0.37786615] X=[-1.01304317 -0.87554465 -0.36519658 -1.02363678 0.01042052 -0.37094597 -1.09100005 -1.23633202 0.21017533 0.35186795 0.63855033], Predicted=[0.65630104 0.34369896] X=[-0.06493106 0.8112267 -0.11727796 -0.94476527 -0.31000812 -1.48823805 -0.33794771 0.25835054 0.74002864 1.57870931 -0.74300757], Predicted=[0.96374743 0.03625257] X=[ 0.88318104 0.8112267 1.28759423 0.96786876 0.01042052 3.03973513 1.94474221 1.46212172 -1.18068962 -0.52444731 -1.06808001], Predicted=[0.96950898 0.03049102] X=[-0.4204731 -0.47865728 0.46119882 -0.88561164 -0.44733468 0.33471219 -0.94980274 -1.34667771 0.01148034 -0.52444731 1.126159 ], Predicted=[0.54385184 0.45614816] X=[ 0.76466702 -0.9747665 -0.1999175 0.02141068 -0.76776332 1.04037035 0.50923618 -0.42378647 -1.04822629 -0.96260494 0.31347789], Predicted=[0.61509046 0.38490954] X=[-1.01304317 1.10889223 -0.6131152 -0.72786863 -0.35578364 0.2171025 1.14462409 -0.25993983 1.46857694 0.08897337 0.23220977], Predicted=[0.89255514 0.10744486] X=[-0.65750113 -0.18099175 0.70911744 0.13971794 -0.035355 1.56961397 1.66234758 0.4723543 0.077712 0.35186795 -0.82427568], Predicted=[0.92380887 0.07619113] X=[-0.06493106 0.01745194 0.29591974 0.12000007 0.51395124 -0.01811689 1.63881469 1.09430274 2.52828357 0.527131 -0.2553989 ], Predicted=[0.92060205 0.07939795] X=[ 2.30534919 0.51356116 0.2132802 -0.84617589 -0.53888572 -0.95899443 -0.31441482 -0.79160544 -1.51184794 4.29528662 1.7763039 ], Predicted=[0.45117768 0.54882232] X=[-0.83527215 -0.67710097 0.29591974 -0.62927925 -1.13396748 -0.90018958 -1.37339468 -1.09254824 1.33611362 -0.17392121 1.20742712], Predicted=[0.39691249 0.60308751] X=[-0.89452915 0.61278301 -0.1999175 1.1058939 0.33084916 0.62873642 2.34480127 1.2280551 -0.18721466 -0.08628968 -1.55568868], Predicted=[0.97336418 0.02663582] X=[-0.30195909 -0.47865728 -0.53047566 -0.15605021 -0.12690604 0.45232188 0.60336772 0.42554098 0.54133365 2.36739305 -0.82427568], Predicted=[0.85760448 0.14239552] X=[ 1.00169505 0.11667379 1.20495468 -0.80674014 0.14774708 0.04068796 0.93282812 -0.31009697 -0.12098299 1.31581474 0.06967355], Predicted=[0.86201546 0.13798454] X=[-0.53898711 3.98632571 -0.6131152 -0.58984349 1.06325748 -0.60616535 0.17977578 -0.18637604 -0.05475133 -0.78734189 -0.9868119 ], Predicted=[0.99256937 0.00743063] X=[-0.77601514 0.01745194 0.79175698 1.30307267 -0.31000812 1.68722366 2.22713684 1.14445988 -0.71706797 -0.96260494 -1.31188435], Predicted=[0.95205044 0.04794956] X=[ 0.29061097 0.8112267 -0.77839428 -0.90532952 -0.9508654 -0.19453143 -0.8556712 -1.24636344 1.0049553 0.87765711 1.85757201], Predicted=[0.34004685 0.65995315] X=[ 1.12020906 -0.28021359 0.04800112 1.4410978 -0.08113052 1.80483335 1.07402544 1.91687972 0.21017533 2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017] X=[ 0.29061097 -0.28021359 -0.11727796 0.77069 -0.21845708 1.80483335 3.14491938 0.96055039 -0.12098299 0.26423642 -1.14934812], Predicted=[0.89989358 0.10010642] X=[-0.53898711 -0.0817699 -1.19159198 -0.86589377 1.74989028 -0.84138474 1.23875564 0.37872765 1.99843026 1.22818321 -0.74300757], Predicted=[0.96550302 0.03449698] X=[-0.30195909 -1.17321019 -1.0263129 0.06084644 0.4224002 0.45232188 0.43863752 -0.06265511 -0.25344632 0.26423642 0.23220977], Predicted=[0.75251019 0.24748981] X=[ 0.76466702 -1.17321019 0.37855928 1.24391904 -0.12690604 2.06945516 0.57983483 1.01405133 -0.25344632 2.8931822 -0.09286267], Predicted=[0.51087622 0.48912378] X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=[0.64164981 0.35835019] X=[ 0.88318104 -0.28021359 0.04800112 -1.0039189 0.46817572 -0.07692173 0.88576235 0.10453533 -0.58460464 0.1766049 -0.82427568], Predicted=[0.96747493 0.03252507] X=[ 1.23872307 -1.37165388 -0.44783612 -0.90532952 -0.21845708 0.51112673 0.93282812 0.45897907 1.7335036 -0.52444731 -1.06808001], Predicted=[0.89048249 0.10951751] X=[-0.77601514 1.80344514 -0.69575474 -0.39266473 0.92593092 1.56961397 1.61528181 -0.04259226 0.40887032 0.26423642 -0.58047134], Predicted=[0.95872284 0.04127716] X=[ 0.29061097 -0.47865728 0.13064066 1.99319835 -0.2642326 1.45200427 0.76809792 1.66275025 -0.18721466 0.87765711 -1.14934812], Predicted=[0.81178702 0.18821298] X=[ 1.4757511 -0.0817699 -0.03463842 -1.0039189 -0.035355 -0.5473605 -0.90273697 -1.12598632 -1.37938461 -0.43681578 1.53249956], Predicted=[0.68575066 0.31424934] X=[ 0.76466702 0.11667379 -0.1999175 0.50449866 0.4224002 -0.90018958 0.29744021 0.9271123 -0.71706797 0.43949948 -0.9868119 ], Predicted=[0.95732508 0.04267492] X=[-0.65750113 -0.37943543 -0.36519658 -0.94476527 0.28507364 0.74634612 1.09755832 -0.2097827 0.14394366 0.08897337 -0.90554379], Predicted=[0.94656045 0.05343955] X=[-1.01304317 0.11667379 -1.0263129 1.80587852 -0.12690604 -0.90018958 0.08564423 0.85354851 -0.51837298 0.43949948 -0.33666701], Predicted=[0.81066315 0.18933685] X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=[0.53717123 0.46282877] X=[-1.01304317 3.09332911 -2.76174325 -1.10250829 -0.40155916 -0.31214112 -1.0204014 -1.23967582 -0.58460464 -0.78734189 0.31347789], Predicted=[0.93104196 0.06895804] X=[ 0.05358295 0.21589563 -0.36519658 -1.0039189 0.33084916 -0.6649702 1.19168986 -0.13621891 0.67379698 0.43949948 -0.49920323], Predicted=[0.94526839 0.05473161] X=[ 0.527639 0.01745194 0.13064066 -0.94476527 0.37662468 -0.25333627 0.22684155 -0.75147973 -0.05475133 -0.17392121 0.15094166], Predicted=[0.84974551 0.15025449] X=[-1.01304317 -1.17321019 -0.28255704 0.06084644 -0.12690604 0.45232188 0.34450598 0.3586648 2.92567355 -0.26155273 0.06967355], Predicted=[0.67285722 0.32714278] X=[-1.96115527 1.00967039 -0.6131152 0.2580252 0.33084916 -0.90018958 -0.83213831 -0.5107255 0.54133365 -0.34918426 1.36996334], Predicted=[0.77661166 0.22338834] X=[-0.4204731 0.01745194 0.13064066 1.77630171 -0.17268156 1.15798004 1.33288718 1.26149319 0.27640699 0.08897337 -0.74300757], Predicted=[0.82623223 0.17376777] X=[ 0.88318104 -0.0817699 -0.69575474 1.48053356 0.1935226 0.56993158 1.42701872 1.46212172 1.0049553 0.08897337 -0.58047134], Predicted=[0.81251706 0.18748294] X=[ 2.54237721 0.21589563 1.28759423 0.15943582 -0.31000812 -0.19453143 -1.27926314 -0.07603035 -1.64431127 -1.48839409 0.80108656], Predicted=[0.77832091 0.22167909] X=[-0.18344508 2.00188883 -0.11727796 -0.98420103 -1.13396748 -0.78257989 -0.40854637 -1.71449668 -0.25344632 0.35186795 1.7763039 ], Predicted=[0.55726365 0.44273635] X=[-1.13155718 0.51356116 -0.11727796 0.33689671 -0.35578364 -1.54704289 -2.45590743 -0.97885873 0.21017533 -1.13786799 1.7763039 ], Predicted=[0.48215847 0.51784153] X=[-1.01304317 0.41433932 -0.03463842 0.69181849 -0.63043676 -0.78257989 -1.13806583 -0.48397503 -0.58460464 -0.52444731 1.28869523], Predicted=[0.59960189 0.40039811] X=[ 3.01643326 -0.18099175 1.61815239 -1.02363678 0.05619604 -0.60616535 -0.690941 -0.64447785 0.27640699 -1.8389202 1.61376767], Predicted=[0.68059408 0.31940592] X=[-1.25007119 0.21589563 -0.03463842 -0.57012562 -0.58466124 -0.60616535 -0.5262108 -1.1560806 0.077712 -0.43681578 0.96362278], Predicted=[0.6859621 0.3140379] X=[ 1.23872307 0.01745194 0.6264779 -0.29407534 0.55972676 -0.25333627 0.34450598 0.86023613 0.54133365 0.1766049 -0.66173945], Predicted=[0.96071257 0.03928743] X=[-2.19818329 0.51356116 -0.86103382 1.06645815 -0.7219878 -0.72377504 0.46217041 -0.26997126 1.46857694 1.31581474 1.04489089], Predicted=[0.37608231 0.62391769] X=[-0.4204731 -1.47087572 0.29591974 -1.06307253 -0.44733468 0.74634612 -0.57327657 -0.97885873 1.46857694 0.1766049 0.80108656], Predicted=[0.4530999 0.5469001] X=[ 1.59426511 -0.47865728 0.54383836 0.21858945 0.14774708 -1.37062835 -1.46752623 0.86023613 -0.8495313 3.06844526 -0.66173945], Predicted=[0.88623387 0.11376613] X=[-1.25007119 0.31511748 -0.03463842 -1.02363678 -0.44733468 -0.72377504 -0.92626985 -0.81166829 -0.05475133 0.96528863 -0.01159456], Predicted=[0.88167087 0.11832913] X=[ 0.05358295 0.51356116 -1.0263129 -1.06307253 0.33084916 0.2171025 0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=[0.95596292 0.04403708] X=[-2.07966928 0.71200485 -0.6131152 0.08056431 -0.53888572 0.04068796 -0.43207925 -0.71804165 1.26988195 -0.78734189 0.80108656], Predicted=[0.65041389 0.34958611] X=[ 0.64615301 -1.71893033 0.04800112 1.14532965 0.1935226 1.27558973 0.17977578 1.09430274 -0.18721466 -1.05023647 -1.23061624], Predicted=[0.83933493 0.16066507] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[ 0.05358295 1.80344514 -1.10895244 -1.08279041 0.37662468 -1.78226228 -0.29088194 -0.67791594 -0.58460464 -0.61207884 -0.09286267], Predicted=[0.96845881 0.03154119] X=[-1.48709922e+00 4.14339320e-01 -3.46384190e-02 1.98871573e-01 -4.01559160e-01 -6.06165351e-01 -1.02040140e+00 -4.50536938e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=[0.73704257 0.26295743] X=[-0.53898711 -0.28021359 -0.03463842 -0.98420103 -0.2642326 0.39351704 -0.54974368 -1.14604918 0.01148034 -0.08628968 0.63855033], Predicted=[0.69430201 0.30569799] X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613] X=[-0.06493106 -0.47865728 -0.11727796 0.43548609 0.01042052 0.68754127 0.48570329 0.16472389 -0.71706797 0.26423642 -0.01159456], Predicted=[0.80048039 0.19951961] X=[ 0.40912499 0.31511748 1.37023377 1.3622263 0.46817572 1.92244304 1.33288718 1.39524554 -1.18068962 -0.17392121 -1.06808001], Predicted=[0.95723049 0.04276951] X=[-1.01304317 -0.18099175 -1.52215014 -1.02363678 0.33084916 -0.01811689 -0.33794771 -0.18637604 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.97747067 0.02252933] X=[-0.4204731 2.00188883 -2.59646417 -1.08279041 -0.12690604 -0.19453143 -0.92626985 -0.59097691 -0.31967798 -0.17392121 -0.58047134], Predicted=[0.95566259 0.04433741] X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=[0.78331015 0.21668985] X=[ 1.23872307 0.61278301 0.87439652 0.02141068 -0.85931436 0.68754127 -0.29088194 -0.93204541 -1.51184794 -1.05023647 1.61376767], Predicted=[0.49686582 0.50313418] X=[ 1.12020906 -0.0817699 -0.03463842 -0.78702226 0.33084916 0.04068796 0.86222946 -0.67791594 0.077712 0.527131 0.394746 ], Predicted=[0.73637693 0.26362307] X=[-1.01304317 0.41433932 -0.28255704 -1.0039189 -0.9508654 -1.01779928 -0.62034234 -2.00875186 -0.78329963 1.31581474 2.26391257], Predicted=[0.35303219 0.64696781] X=[-0.4204731 -0.28021359 -0.11727796 0.69181849 -0.035355 0.33471219 -0.24381617 0.77998471 -0.05475133 0.26423642 -0.74300757], Predicted=[0.89989246 0.10010754] X=[ 0.17209696 -0.37943543 1.12231514 -1.0039189 -0.12690604 -1.01779928 -0.17321751 -0.75816735 0.01148034 -0.34918426 0.394746 ], Predicted=[0.85268067 0.14731933] X=[-1.3685852 0.01745194 0.13064066 -1.02363678 0.28507364 0.2171025 0.06211135 -0.98554635 1.66727194 1.75397237 0.63855033], Predicted=[0.66197748 0.33802252] X=[ 0.05358295 0.31511748 -0.11727796 -1.02363678 -0.99664092 -0.90018958 0.65043349 -0.65116547 -0.91576296 0.43949948 -0.58047134], Predicted=[0.91787244 0.08212756] X=[-0.06493106 0.51356116 -0.1999175 0.19887157 -0.035355 -0.07692173 0.10917712 -0.59097691 -0.8495313 0.527131 1.36996334], Predicted=[0.62322833 0.37677167] X=[-0.06493106 -0.47865728 -0.36519658 1.14532965 -0.4931102 0.15829765 2.29773549 1.19461701 1.07118696 0.26423642 -0.58047134], Predicted=[0.82497301 0.17502699] X=[-0.18344508 1.60500145 -0.1999175 -0.88561164 -0.7219878 0.33471219 -0.80860543 -1.34667771 0.67379698 1.14055168 1.69503579], Predicted=[0.46028758 0.53971242] X=[ 0.40912499 2.20033252 -2.76174325 -1.10250829 -0.53888572 0.62873642 -0.57327657 -0.27665888 0.01148034 -1.31313104 -1.06808001], Predicted=[0.96615946 0.03384054] X=[ 1.59426511 -0.9747665 1.28759423 -1.04335466 -0.58466124 -0.42975081 -1.3498618 -0.57760167 -1.24692128 1.66634084 -0.09286267], Predicted=[0.76662625 0.23337375] X=[ 0.88318104 0.31511748 -0.86103382 1.24391904 0.37662468 -0.90018958 0.01504558 1.44874648 -0.18721466 0.08897337 -0.66173945], Predicted=[0.93419611 0.06580389] X=[-0.06493106 -0.87554465 0.54383836 0.68195955 0.4224002 0.33471219 -0.83213831 0.43222859 -1.37938461 0.61476253 -0.01159456], Predicted=[0.84902516 0.15097484] X=[-0.53898711 -0.18099175 -0.69575474 0.8495615 0.01042052 1.80483335 0.95636101 0.67967045 -0.12098299 0.527131 -0.49920323], Predicted=[0.8282359 0.1717641] X=[-0.89452915 1.00967039 1.12231514 -0.98420103 0.23929812 1.39319943 1.68588046 -0.31344078 0.34263866 0.08897337 -0.74300757], Predicted=[0.96560996 0.03439004] X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774 0.51395124 -1.31182351 -1.25573025 0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=[0.96922466 0.03077534] X=[ 1.12020906 0.41433932 -0.03463842 -0.78702226 -0.40155916 -1.01779928 -0.87920408 -0.94542065 0.14394366 1.40344626 0.96362278], Predicted=[0.54409555 0.45590445] X=[ 0.88318104 0.06706287 -0.11727796 1.61855869 0.78860436 -0.19453143 1.47408449 1.32836936 -1.24692128 -0.34918426 -1.06808001], Predicted=[0.94449256 0.05550744] X=[-0.65750113 2.69644174 0.95703606 1.30307267 0.05619604 -0.13572658 1.02695966 1.12774083 0.077712 -0.26155273 -1.06808001], Predicted=[0.97730495 0.02269505] X=[ 0.29061097 -0.47865728 0.46119882 1.4410978 0.55972676 -0.5473605 0.79163081 1.17789797 -1.90923792 -0.26155273 -1.23061624], Predicted=[0.95938535 0.04061465] X=[ 0.17209696 -1.27243203 -0.36519658 1.97348047 0.55972676 0.56993158 -0.66740811 1.26149319 -0.25344632 -1.05023647 -0.66173945], Predicted=[0.77182311 0.22817689] X=[ 0.05358295 -1.47087572 -0.44783612 1.3622263 0.1935226 0.68754127 -0.14968462 0.84351708 1.0049553 -0.61207884 -0.33666701], Predicted=[0.60127327 0.39872673] X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349] X=[ 0.76466702 -1.47087572 0.37855928 -1.04335466 -1.04241644 0.39351704 -0.80860543 -0.97217112 0.60756531 0.35186795 1.04489089], Predicted=[0.36304281 0.63695719] X=[-0.06493106 0.11667379 -0.11727796 -0.90532952 -0.63043676 -1.01779928 -0.1967504 -1.02901587 -0.91576296 1.14055168 0.55728222], Predicted=[0.76223189 0.23776811] X=[ 0.05358295 -1.61970849 0.13064066 -0.19548596 0.10197156 0.04068796 -0.71447388 -0.04259226 0.87249197 -0.61207884 -0.2553989 ], Predicted=[0.74252162 0.25747838] X=[-0.53898711 -1.17321019 -0.44783612 -0.82645801 -0.17268156 -0.13572658 -1.06746717 -0.87854447 0.8062603 -0.52444731 0.47601411], Predicted=[0.63392051 0.36607949] X=[-1.84264125 1.90266698 -1.93534784 -1.0039189 -0.44733468 -1.4294332 -1.514592 -1.07248538 1.93219859 0.43949948 0.55728222], Predicted=[0.7962046 0.2037954] X=[-1.84264125 4.78010047 -2.51382463 -0.72786863 -0.12690604 -0.48855566 -1.06746717 -0.27665888 1.0049553 -0.96260494 -1.06808001], Predicted=[0.98997425 0.01002575] X=[ 1.00169505 1.00967039 -0.86103382 0.86927938 -0.7219878 -0.42975081 -1.0204014 -0.79829306 -1.71054293 -0.69971036 2.5077169 ], Predicted=[0.28403252 0.71596748] X=[-0.30195909 0.71200485 0.04800112 -0.29407534 -0.63043676 -1.54704289 -0.31441482 -0.50069407 0.87249197 2.80555068 1.20742712], Predicted=[0.5591076 0.4408924] X=[-0.30195909 0.41433932 1.12231514 1.81573746 0.78860436 -0.48855566 0.81516369 1.5691236 -0.05475133 0.61476253 -1.23061624], Predicted=[0.9527454 0.0472546] X=[-1.25007119 0.01745194 -0.44783612 -0.43210048 -0.08113052 0.9815655 0.46217041 -0.67791594 1.07118696 -0.43681578 0.15094166], Predicted=[0.73640796 0.26359204] X=[-0.4204731 0.01745194 -0.36519658 -0.72786863 -0.35578364 -0.5473605 -0.73800677 -0.94542065 0.87249197 -0.69971036 0.88235467], Predicted=[0.66006566 0.33993434] X=[-0.4204731 -0.18099175 0.04800112 -0.98420103 -0.2642326 -0.60616535 1.07402544 -0.624415 0.67379698 -0.26155273 0.15094166], Predicted=[0.86573934 0.13426066] X=[ 0.05358295 -0.28021359 0.04800112 -1.0039189 -0.4931102 -0.48855566 -1.32632891 -1.19620631 -0.05475133 -0.43681578 1.36996334], Predicted=[0.60572204 0.39427796] X=[-0.18344508 1.10889223 -0.77839428 -0.72786863 -1.31706956 -0.78257989 -1.37339468 -1.06579776 -1.04822629 -1.05023647 0.80108656], Predicted=[0.79838514 0.20161486] X=[-1.25007119 0.71200485 -0.36519658 -0.62927925 -0.53888572 0.33471219 0.29744021 -0.94542065 1.07118696 0.79002558 0.90944404], Predicted=[0.6275025 0.3724975] X=[ 0.05358295 -0.9747665 0.2132802 -1.0039189 -0.44733468 0.27590734 -0.50267791 -0.2097827 0.54133365 4.03239204 -0.82427568], Predicted=[0.74188455 0.25811545] X=[ 0.527639 0.51356116 0.54383836 0.09042325 -0.35578364 -0.19453143 -0.00848731 -0.67791594 -1.04822629 -1.66365715 1.126159 ], Predicted=[0.72575541 0.27424459] X=[ 0.05358295 0.31511748 -0.11727796 -0.94476527 -0.44733468 -0.07692173 -0.57327657 -1.11929871 0.01148034 -0.34918426 0.71981845], Predicted=[0.70419763 0.29580237] X=[-1.01304317 -1.07398834 -0.36519658 0.65238274 -0.08113052 -0.13572658 -0.94980274 0.44560383 -0.45214131 -1.13786799 -1.06808001], Predicted=[0.90649481 0.09350519] X=[ 1.00169505 0.31511748 0.2132802 -0.4123826 -0.90508988 -1.19421382 -1.20866448 -0.83841876 -0.51837298 -0.08628968 1.20742712], Predicted=[0.57686643 0.42313357] X=[ 2.4238632 -0.67710097 0.04800112 0.13971794 -0.40155916 -0.13572658 0.27390732 0.72648377 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.87210874 0.12789126] X=[-0.06493106 -0.37943543 -0.36519658 -0.86589377 -0.08113052 -1.19421382 -0.99686851 -0.57091406 0.27640699 1.31581474 -0.09286267], Predicted=[0.80675024 0.19324976] X=[ 0.17209696 -1.17321019 0.2132802 -0.74758651 -0.76776332 -0.42975081 -0.94980274 -0.92535779 -0.51837298 -1.05023647 0.55728222], Predicted=[0.67178908 0.32821092] X=[-1.13155718 0.91044854 -1.93534784 -0.94476527 0.51395124 0.2171025 -0.24381617 -0.54416359 0.34263866 -0.08628968 -0.33666701], Predicted=[0.93682012 0.06317988] X=[-0.65750113 -0.57787912 0.79175698 -0.36308791 -0.35578364 -0.25333627 -0.1967504 -0.74479212 1.07118696 -1.40076257 0.80108656], Predicted=[0.64876519 0.35123481] X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805 -0.71447388 -0.53413216 0.60756531 0.08897337 -0.41793512], Predicted=[0.85773871 0.14226129] X=[-2.07966928 0.26550655 -1.68742922 -0.91518846 -0.44733468 -1.07660412 -1.53812488 -1.34667771 1.40234528 0.1766049 1.47832082], Predicted=[0.5519987 0.4480013] X=[-0.06493106 0.11667379 0.04800112 -0.57012562 0.37662468 -0.5473605 1.19168986 0.28844481 1.53480861 0.79002558 -0.09286267], Predicted=[0.91732353 0.08267647] X=[-0.77601514 4.78010047 -2.67910371 -0.62927925 -0.21845708 -1.01779928 -0.43207925 -1.25973868 0.077712 3.94476052 2.58898502], Predicted=[0.63497017 0.36502983] X=[-0.77601514 -0.77632281 -0.6131152 -0.9250474 2.16186995 0.27590734 0.53276906 -0.54416359 1.66727194 1.49107779 0.394746 ], Predicted=[0.8072641 0.1927359] X=[ 0.88318104 0.66239393 -0.6131152 -0.88561164 -0.12690604 -1.19421382 -0.10261885 -0.14290653 -0.71706797 -0.96260494 -0.82427568], Predicted=[0.96845912 0.03154088] X=[-0.18344508 0.21589563 -0.36519658 -0.70815075 -0.9508654 0.09949281 -0.73800677 -0.8150121 0.8062603 1.22818321 0.63855033], Predicted=[0.53520553 0.46479447] X=[-0.06493106 0.41433932 -0.11727796 0.45520397 -0.76776332 -0.25333627 -0.78507254 -0.85848162 -1.24692128 -1.31313104 1.45123145], Predicted=[0.51287041 0.48712959] X=[ 1.59426511 -0.57787912 1.28759423 0.63266486 -0.40155916 1.04037035 0.36803886 0.3586648 -1.11445795 -1.40076257 0.06967355], Predicted=[0.77935493 0.22064507] X=[-0.30195909 -0.18099175 -0.94367336 2.31854331 0.1935226 -0.72377504 0.01504558 1.67612548 -0.8495313 0.08897337 -1.06808001], Predicted=[0.90588458 0.09411542] X=[-0.30195909 -1.07398834 -0.6131152 0.19887157 0.28507364 0.56993158 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=[0.81035142 0.18964858] X=[-2.67223934 1.65461237 -2.76174325 -0.98420103 0.33084916 -1.4294332 0.93282812 0.07778486 3.98538018 0.527131 -0.2553989 ], Predicted=[0.95507552 0.04492448] X=[ 0.76466702 0.41433932 0.29591974 -1.02363678 0.10197156 -0.78257989 1.07402544 -0.07603035 -0.6508363 -0.52444731 -0.9868119 ], Predicted=[0.97737872 0.02262128] X=[-0.53898711 0.01745194 -0.44783612 -0.668715 -0.2642326 -0.95899443 -0.94980274 -0.624415 0.40887032 -0.17392121 0.47601411], Predicted=[0.80669216 0.19330784] X=[ 0.76466702 1.40655776 0.04800112 -0.4123826 -0.2642326 -0.07692173 -0.71447388 -0.82838734 -0.31967798 -0.34918426 1.85757201], Predicted=[0.6499283 0.3500717] X=[-1.48709922 2.10111067 -1.68742922 -0.37294685 -0.31000812 -1.07660412 -0.5262108 -1.11261109 1.53480861 3.59423441 2.58898502], Predicted=[0.31580323 0.68419677] X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836 0.37662468 -0.72377504 -0.5262108 -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=[0.96845403 0.03154597] X=[ 0.88318104 0.41433932 0.04800112 2.35797907 0.37662468 0.51112673 1.37995295 2.26463584 0.21017533 0.527131 -1.23061624], Predicted=[0.91949547 0.08050453] X=[ 0.17209696 -1.17321019 -0.28255704 -0.74758651 -0.12690604 -0.07692173 -1.13806583 -1.18951869 -2.04170125 -0.17392121 0.55728222], Predicted=[0.69966833 0.30033167] X=[-1.25007119 2.59721989 -2.76174325 -0.98420103 -0.58466124 0.27590734 -0.73800677 -1.62087003 0.47510198 -1.22549952 1.53249956], Predicted=[0.69592758 0.30407242] X=[ 2.77940524 -0.28021359 0.04800112 -1.02363678 -0.90508988 -0.25333627 -1.06746717 -0.81166829 -1.71054293 -1.05023647 0.63855033], Predicted=[0.72293444 0.27706556] X=[ 2.30534919 -0.37943543 -0.86103382 0.77069 -0.63043676 -1.37062835 -0.97333563 0.56263714 -0.38590965 -0.78734189 0.15094166], Predicted=[0.67616314 0.32383686] X=[-1.48709922 0.61278301 -0.69575474 -0.76730438 0.01042052 0.68754127 1.02695966 -1.03570348 0.14394366 -0.78734189 0.63855033], Predicted=[0.83653221 0.16346779] X=[-0.53898711 -0.18099175 1.28759423 0.00169281 -0.40155916 0.09949281 0.53276906 0.45897907 1.26988195 0.35186795 -0.66173945], Predicted=[0.89604978 0.10395022] X=[-0.06493106 -0.18099175 -0.11727796 0.12000007 -0.21845708 0.15829765 -0.47914502 -0.04259226 0.40887032 0.26423642 0.23220977], Predicted=[0.7205389 0.2794611] X=[-0.18344508 0.21589563 1.37023377 1.12561178 -0.035355 0.15829765 -0.26734905 1.12774083 -0.98199462 0.35186795 -1.31188435], Predicted=[0.9563521 0.0436479] X=[ 0.76466702 -0.47865728 -0.36519658 -0.74758651 -0.67621228 -0.6649702 -0.94980274 -0.69797879 -1.24692128 0.43949948 0.31347789], Predicted=[0.76091194 0.23908806] X=[ 0.76466702 0.51356116 0.46119882 1.18476541 0.8801554 -0.37094597 -0.45561214 1.12774083 -0.18721466 -0.87497341 -0.90554379], Predicted=[0.94662833 0.05337167] X=[ 0.29061097 -1.17321019 -0.69575474 -1.0039189 -0.53888572 -0.42975081 -0.3614806 -0.84510638 0.54133365 0.527131 0.71981845], Predicted=[0.55598329 0.44401671] X=[-0.4204731 -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504 -1.06746717 -1.01229682 1.0049553 1.84160389 1.20742712], Predicted=[0.28319594 0.71680406] X=[ 0.29061097 0.61278301 -0.11727796 -0.86589377 0.23929812 -0.37094597 -0.1967504 -0.16296938 0.74002864 0.08897337 -0.09286267], Predicted=[0.92042111 0.07957889] X=[-1.13155718 -1.47087572 -0.44783612 -0.88561164 0.1935226 -0.90018958 -1.42046046 -0.74479212 1.60104027 1.31581474 0.23220977], Predicted=[0.61667923 0.38332077] X=[ 0.88318104 0.21589563 0.29591974 -0.94476527 1.88721684 -0.48855566 0.90929523 0.11791056 -0.6508363 0.08897337 -0.58047134], Predicted=[0.98372245 0.01627755] X=[ 0.527639 -0.9747665 -0.36519658 -1.06307253 -0.44733468 -0.5473605 -0.87920408 -1.34667771 -0.6508363 -1.05023647 0.96362278], Predicted=[0.59556023 0.40443977] X=[-0.18344508 -0.9747665 -0.77839428 0.77069 0.51395124 1.68722366 1.09755832 0.38875908 -0.45214131 0.08897337 0.06967355], Predicted=[0.73600531 0.26399469] X=[-0.53898711 0.01745194 -1.35687106 0.37633246 -0.17268156 1.51080912 1.33288718 0.58269999 0.21017533 -0.26155273 -0.90554379], Predicted=[0.90229868 0.09770132] X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261] X=[-0.30195909 0.16628471 -0.77839428 -0.94476527 -0.31000812 -0.37094597 0.03857846 -0.33015982 1.07118696 1.05292016 -0.09286267], Predicted=[0.84715993 0.15284007] X=[ 0.05358295 2.00188883 0.2132802 -0.57012562 -0.7219878 -0.25333627 -0.07908597 -1.21292535 -0.31967798 -0.96260494 1.36996334], Predicted=[0.73067651 0.26932349] X=[-0.06493106 -0.9747665 -1.0263129 -0.19548596 0.33084916 -0.07692173 -0.80860543 0.14131723 0.74002864 -0.52444731 -0.90554379], Predicted=[0.86613389 0.13386611] X=[-1.3685852 -1.4212648 -0.28255704 -0.35322897 -0.17268156 -0.95899443 -0.87920408 0.19147436 0.8062603 -0.61207884 -0.9868119 ], Predicted=[0.92797261 0.07202739] X=[ 0.40912499 3.19255096 -1.10895244 0.69181849 1.109033 -0.84138474 0.83869658 1.02742657 -1.04822629 0.43949948 -1.14934812], Predicted=[0.99133755 0.00866245] X=[ 1.35723709 -0.28021359 -0.53047566 0.65238274 -0.44733468 -1.19421382 -1.25573025 0.01090868 -1.31315295 -1.13786799 0.55728222], Predicted=[0.69663352 0.30336648] X=[ 0.17209696 1.10889223 -0.77839428 -1.06307253 0.10197156 -1.60584774 -0.45561214 -0.57760167 -1.24692128 -1.57602562 -0.33666701], Predicted=[0.97685198 0.02314802] X=[ 0.527639 1.30733592 -0.36519658 -0.90532952 -0.63043676 -0.5473605 -1.514592 -1.71784049 -1.51184794 -1.22549952 2.02010823], Predicted=[0.60926946 0.39073054] X=[ 0.17209696 -0.57787912 -0.1999175 -0.72786863 -0.7219878 0.33471219 -0.05555308 -1.41355388 -0.18721466 -1.05023647 1.7763039 ], Predicted=[0.37542231 0.62457769] X=[-0.18344508 -1.47087572 -0.44783612 -1.02363678 0.01042052 -0.01811689 0.03857846 -0.44384932 0.93872363 -1.40076257 -0.33666701], Predicted=[0.8553191 0.1446809] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[-0.53898711 -0.37943543 -0.36519658 -1.06307253 -0.35578364 -1.01779928 -0.38501348 -1.14604918 0.74002864 -0.61207884 0.80108656], Predicted=[0.69875327 0.30124673] X=[-2.07966928 2.3987762 -2.26590601 -0.72786863 0.28507364 -0.31214112 -1.39692757 -0.27665888 0.87249197 -0.52444731 -0.9868119 ], Predicted=[0.97782883 0.02217117] X=[-0.65750113 -0.77632281 -0.6131152 -0.94476527 -0.85931436 0.04068796 0.06211135 -0.45053694 2.26335691 0.61476253 0.23220977], Predicted=[0.62712408 0.37287592] X=[-1.3685852 0.51356116 -0.11727796 -0.98420103 -0.12690604 -0.42975081 -1.06746717 -1.44699197 0.8062603 0.08897337 1.45123145], Predicted=[0.61402853 0.38597147] X=[-0.30195909 -1.91737402 -0.03463842 -0.98420103 -0.44733468 -1.07660412 -0.690941 -0.3234722 0.54133365 1.05292016 -0.82427568], Predicted=[0.82697462 0.17302538] X=[-1.3685852 0.41433932 1.37023377 -0.74758651 0.14774708 -1.07660412 0.39157175 -0.44384932 0.21017533 1.31581474 -0.41793512], Predicted=[0.94266456 0.05733544] X=[-0.18344508 0.31511748 0.87439652 0.06084644 0.37662468 -0.37094597 0.50923618 0.39210289 -0.98199462 -0.43681578 -0.74300757], Predicted=[0.97200253 0.02799747] X=[-0.30195909 0.46395024 1.28759423 0.2580252 0.14774708 1.04037035 1.85061067 0.6596076 -0.18721466 -0.78734189 -0.9868119 ], Predicted=[0.96920167 0.03079833] X=[-0.53898711 1.50577961 -0.53047566 -1.04335466 0.37662468 -1.78226228 -0.66740811 -0.04259226 0.34263866 0.26423642 -1.14934812], Predicted=[0.98603279 0.01396721] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[ 0.527639 -0.37943543 0.79175698 -0.86589377 -1.13396748 -0.90018958 -1.63225643 -1.34667771 -0.71706797 0.61476253 1.36996334], Predicted=[0.43981593 0.56018407] X=[-0.89452915 0.01745194 -0.77839428 2.67346509 1.29213508 -0.19453143 0.83869658 1.73631404 0.01148034 -0.43681578 -0.9868119 ], Predicted=[0.91020568 0.08979432] X=[ 0.76466702 -0.67710097 2.85774549 0.88899726 -0.035355 0.15829765 -0.12615174 1.26149319 -1.24692128 -1.13786799 -1.47442057], Predicted=[0.97315091 0.02684909] X=[-0.77601514 0.21589563 0.70911744 -0.82645801 -0.44733468 -0.42975081 -0.24381617 -1.31323962 -0.38590965 -0.96260494 0.88235467], Predicted=[0.76080074 0.23919926] X=[ 0.40912499 0.11667379 -1.27423152 0.35661459 -0.17268156 0.33471219 0.97989389 0.80673518 -0.18721466 0.00134185 -1.14934812], Predicted=[0.93498015 0.06501985] X=[-0.18344508 -0.37943543 -0.03463842 1.16504753 0.01042052 -0.25333627 0.15624289 1.42868363 1.13741862 -0.78734189 -0.82427568], Predicted=[0.91757349 0.08242651] X=[-0.65750113 -1.27243203 -0.28255704 -0.98420103 -1.08819196 0.15829765 -0.90273697 -1.01564063 1.53480861 0.70239405 0.71981845], Predicted=[0.37612617 0.62387383] X=[-0.18344508 0.31511748 -1.27423152 0.2580252 -0.12690604 1.27558973 1.45055161 0.5459181 -0.12098299 -0.43681578 -0.90554379], Predicted=[0.92814348 0.07185652] X=[-1.01304317 0.01745194 -0.53047566 1.79601958 -0.44733468 -0.25333627 -0.10261885 0.0175963 0.01148034 -0.43681578 2.02010823], Predicted=[0.28876669 0.71123331] X=[ 2.30534919e+00 -8.17699008e-02 -6.95754741e-01 -2.74357467e-01 -9.96640918e-01 9.81565502e-01 -9.26269854e-01 -5.10725497e-01 -2.10793291e+00 1.34184656e-03 7.19818445e-01], Predicted=[0.57472266 0.42527734] X=[ 1.4757511 -0.37943543 0.37855928 -0.4123826 -0.08113052 0.80515096 0.79163081 0.6596076 1.20365029 2.19213 0.23220977], Predicted=[0.78097533 0.21902467] X=[ 1.4757511 -0.87554465 0.54383836 -1.08279041 -0.40155916 2.21646728 0.97989389 -0.47728741 -0.8495313 -1.31313104 -0.41793512], Predicted=[0.85837314 0.14162686] X=[ 1.59426511 3.98632571 -0.28255704 -0.84617589 0.05619604 -1.07660412 -0.00848731 0.32522671 0.21017533 1.92923542 0.23220977], Predicted=[0.97631997 0.02368003] X=[ 1.12020906 0.21589563 0.2132802 -0.35322897 -0.99664092 -0.90018958 1.40348584 -0.60435214 -0.8495313 1.49107779 1.126159 ], Predicted=[0.60156902 0.39843098] X=[-0.53898711 -0.47865728 0.13064066 -0.35322897 -0.31000812 0.45232188 0.20330866 -0.624415 -0.05475133 -0.78734189 0.394746 ], Predicted=[0.75021995 0.24978005] X=[ 1.12020906 -1.27243203 0.04800112 -1.04335466 -0.4931102 -0.25333627 -1.06746717 -1.02567206 -0.78329963 2.01686694 0.63855033], Predicted=[0.47436459 0.52563541] X=[ 1.4757511 0.31511748 0.2132802 0.35661459 -0.81353884 -0.37094597 0.08564423 -0.5107255 -1.18068962 -1.31313104 2.02010823], Predicted=[0.48829876 0.51170124] X=[ 0.88318104 0.31511748 1.28759423 -0.48139517 -0.08113052 -0.48855566 -0.17321751 -0.94542065 -0.71706797 1.57870931 1.85757201], Predicted=[0.5207559 0.4792441] X=[ 1.94980715 -0.77632281 0.54383836 -1.04335466 0.01042052 -0.25333627 -0.76153965 -0.69797879 -1.24692128 -1.22549952 -0.01159456], Predicted=[0.85276862 0.14723138] X=[-0.30195909 -0.47865728 0.29591974 0.41576822 -0.44733468 0.62873642 0.34450598 0.57935618 0.077712 -0.08628968 -0.90554379], Predicted=[0.8896117 0.1103883] X=[-0.06493106 -0.57787912 1.28759423 -1.08279041 0.28507364 -0.5473605 -0.24381617 -1.01229682 0.40887032 -1.22549952 0.71981845], Predicted=[0.81327356 0.18672644] X=[-1.25007119 -1.27243203 1.28759423 -1.04335466 0.10197156 -0.84138474 -0.94980274 -0.37697314 0.01148034 -0.08628968 -1.06808001], Predicted=[0.95468928 0.04531072] X=[-0.89452915 0.01745194 -0.11727796 -0.76730438 -0.17268156 -0.72377504 1.88590999 -0.17634461 0.54133365 0.96528863 -0.58047134], Predicted=[0.93451946 0.06548054] X=[ 3.3719753 -0.37943543 1.28759423 -0.29407534 -0.63043676 -1.89987197 -2.8324336 -0.11615605 -2.24039624 0.43949948 -0.41793512], Predicted=[0.82045648 0.17954352] X=[-1.25007119 0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081 -1.04393428 -1.66099574 0.40887032 0.26423642 2.58898502], Predicted=[0.21118056 0.78881944] X=[ 1.00169505 0.01745194 0.13064066 1.75658383 0.46817572 -0.25333627 -0.50267791 1.93025495 0.54133365 0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653] X=[-0.06493106 3.49021649 -2.43118509 -1.0039189 0.55972676 -0.60616535 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.98229962 0.01770038] X=[-1.48709922 -1.47087572 -0.53047566 -0.31379322 -0.81353884 -0.78257989 -0.80860543 0.25835054 1.0049553 -0.34918426 -1.06808001], Predicted=[0.90321481 0.09678519] X=[-0.30195909 2.20033252 -0.6131152 0.96786876 -0.76776332 -0.19453143 -0.66740811 -0.33684744 0.54133365 2.5426561 1.93884012], Predicted=[0.27992769 0.72007231] X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352] X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635] X=[-0.77601514 -1.27243203 1.28759423 -1.08279041 -0.58466124 -1.07660412 -2.05584837 -0.27665888 0.74002864 1.84160389 -0.90554379], Predicted=[0.87462462 0.12537538] X=[ 0.40912499 -0.77632281 -0.44783612 -0.94476527 -0.81353884 -1.31182351 0.69749926 -0.66788451 -0.12098299 4.99633883 0.80108656], Predicted=[0.47065294 0.52934706] X=[ 0.17209696 -0.0817699 0.6264779 2.43685057 -0.17268156 -0.07692173 0.43863752 2.06400731 -1.51184794 0.08897337 -1.14934812], Predicted=[0.94530693 0.05469307] X=[-0.06493106 4.48243493 -1.10895244 0.04112856 0.37662468 -0.60616535 -1.72638797 -0.26328364 -0.45214131 -1.8389202 0.47601411], Predicted=[0.96990559 0.03009441] X=[ 1.94980715 -0.18099175 -1.0263129 1.93404472 1.29213508 0.33471219 1.37995295 1.32836936 -1.11445795 0.08897337 -0.58047134], Predicted=[0.82690323 0.17309677] X=[-1.3685852 -1.57009756 -0.6131152 -0.17576808 -0.53888572 -0.84138474 -0.92626985 -0.26328364 -0.6508363 0.70239405 -0.49920323], Predicted=[0.82205118 0.17794882] X=[-0.77601514 -0.57787912 -0.28255704 1.18476541 0.37662468 4.2746369 0.32097309 1.08761513 -0.58460464 -0.17392121 -0.82427568], Predicted=[0.86611613 0.13388387] X=[-1.83445077e-01 6.12783009e-01 -2.82557040e-01 1.81573746e+00 3.76624679e-01 9.22760655e-01 1.35642006e+00 1.39524554e+00 1.14803354e-02 1.34184656e-03 -9.86811901e-01], Predicted=[0.90644655 0.09355345] X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065] X=[ 0.88318104 0.01745194 1.28759423 2.71290085 0.6512778 -0.31214112 0.15624289 2.65251766 -1.18068962 -0.43681578 -1.6369568 ], Predicted=[0.97638305 0.02361695] X=[ 0.29061097 1.80344514 -0.86103382 1.4410978 -0.035355 0.51112673 1.26228852 1.36180745 -0.51837298 0.35186795 -0.90554379], Predicted=[0.94977826 0.05022174] X=[-0.89452915 0.21589563 -0.11727796 -0.82645801 -0.17268156 0.33471219 0.08564423 -1.50718053 0.8062603 -0.43681578 1.7763039 ], Predicted=[0.45516833 0.54483167] X=[-0.4204731 -0.57787912 -0.53047566 -0.94476527 -0.31000812 0.04068796 -0.5262108 -0.75147973 1.26988195 0.70239405 0.394746 ], Predicted=[0.63542412 0.36457588] X=[ 4.09124986e-01 -7.76322810e-01 2.13280202e-01 -7.67304383e-01 -8.13538839e-01 -7.82579890e-01 4.38637520e-01 -7.60303484e-02 1.93219859e+00 1.34184656e-03 6.96735514e-02], Predicted=[0.75276921 0.24723079] X=[ 0.40912499 0.51356116 0.04800112 -0.86589377 -0.08113052 1.51080912 0.76809792 -1.52389958 0.40887032 0.35186795 2.26391257], Predicted=[0.29878519 0.70121481] X=[-1.84264125 -0.18099175 -0.86103382 -0.24478065 -0.53888572 0.74634612 0.50923618 0.39210289 4.18407517 0.1766049 -0.01159456], Predicted=[0.72625903 0.27374097] X=[-0.53898711 0.71200485 1.45287331 0.27774308 0.4224002 1.04037035 0.90929523 0.33191433 -0.45214131 -0.34918426 -0.74300757], Predicted=[0.95589662 0.04410338] X=[-0.30195909 -0.28021359 0.04800112 -0.668715 0.37662468 -0.78257989 0.06211135 -0.21647032 0.47510198 -0.17392121 -0.09286267], Predicted=[0.91257831 0.08742169] X=[ 0.17209696 0.31511748 1.53551285 -0.9250474 -0.76776332 -1.78226228 -1.82051951 -0.74479212 -0.78329963 -0.52444731 -0.09286267], Predicted=[0.9134027 0.0865973] X=[-0.06493106 0.21589563 0.13064066 -0.70815075 -0.35578364 -1.48823805 0.60336772 -0.94542065 -0.6508363 0.35186795 1.20742712], Predicted=[0.76997541 0.23002459] X=[ 1.59426511 0.11667379 1.28759423 -1.06307253 -0.08113052 -0.37094597 -0.47914502 -0.41041123 0.34263866 -1.13786799 0.31347789], Predicted=[0.8782167 0.1217833] X=[ 1.35723709 -0.77632281 0.54383836 -0.23492171 0.4224002 0.33471219 0.67396638 0.42554098 -0.05475133 -0.78734189 0.06967355], Predicted=[0.89957077 0.10042923] X=[-0.77601514 -0.67710097 -0.36519658 -0.94476527 -0.31000812 -0.6649702 -1.09100005 -0.9654835 0.54133365 0.08897337 0.55728222], Predicted=[0.69912099 0.30087901] X=[-0.30195909 1.30733592 -0.53047566 0.8495615 2.94005379 -0.90018958 -0.83213831 0.90036183 -0.71706797 -0.69971036 -1.23061624], Predicted=[0.99042859 0.00957141] X=[-0.4204731 -0.37943543 0.37855928 -1.06307253 -0.85931436 -0.25333627 -1.13806583 -1.59411956 0.34263866 -1.13786799 1.45123145], Predicted=[0.47198223 0.52801777] X=[-0.89452915 0.61278301 -1.0263129 -0.27435747 -0.17268156 -1.07660412 -0.12615174 -0.09943701 -1.11445795 0.35186795 -0.90554379], Predicted=[0.96057498 0.03942502] X=[-1.96115527 -0.28021359 -0.86103382 -0.98420103 0.05619604 -0.90018958 -1.44399334 -1.3433339 0.87249197 1.14055168 0.71981845], Predicted=[0.63491705 0.36508295] X=[-0.53898711 1.70422329 -2.18326647 -1.04335466 -0.7219878 -1.48823805 -0.17321751 -1.17948726 -1.44561627 -1.8389202 0.23220977], Predicted=[0.94263915 0.05736085] X=[-0.89452915 0.41433932 0.29591974 -0.90532952 0.23929812 -1.31182351 1.45055161 0.15803627 1.99843026 -0.43681578 -0.01159456], Predicted=[0.96332106 0.03667894] X=[-1.25007119 3.2917728 -2.67910371 0.39605034 -0.21845708 -0.25333627 -0.80860543 -1.04573491 0.47510198 2.01686694 2.87342341], Predicted=[0.31860272 0.68139728] X=[-1.3685852 -0.57787912 -0.36519658 -0.57012562 -0.2642326 -0.48855566 0.17977578 -1.35002152 -0.12098299 -1.13786799 1.28869523], Predicted=[0.61447265 0.38552735] X=[ 0.05358295 -0.37943543 -0.03463842 1.20448328 0.01042052 0.68754127 0.34450598 1.42868363 0.60756531 2.45502457 -0.74300757], Predicted=[0.82012582 0.17987418] X=[-1.96115527 -1.17321019 0.04800112 -1.10250829 -0.76776332 -0.5473605 -1.44399334 -0.82838734 0.40887032 0.1766049 -0.33666701], Predicted=[0.84574795 0.15425205] X=[ 1.59426511 0.91044854 0.2132802 -1.06307253 -0.53888572 -1.07660412 -1.06746717 -1.14604918 -0.98199462 -1.48839409 0.96362278], Predicted=[0.80128458 0.19871542] X=[ 1.00169505 1.50577961 5.50221078 2.67346509 -0.63043676 0.39351704 0.60336772 1.13442845 0.67379698 0.08897337 1.20742712], Predicted=[0.49555551 0.50444449] X=[-0.89452915 1.20811407 -1.27423152 0.5143576 0.23929812 -0.40034839 2.83899187 0.79335995 0.01148034 0.08897337 -1.39315246], Predicted=[0.9777791 0.0222209] X=[-0.18344508 -0.77632281 0.29591974 -0.93490633 -0.9508654 0.39351704 -0.83213831 -1.27311391 -0.51837298 -0.34918426 0.71981845], Predicted=[0.56889233 0.43110767] X=[-0.65750113 0.01745194 -0.94367336 0.61294698 -0.2642326 -0.31214112 -0.64387523 -0.21647032 -0.91576296 -1.57602562 0.23220977], Predicted=[0.79705676 0.20294324] X=[-0.4204731 0.11667379 -0.11727796 -0.668715 -0.44733468 0.15829765 -1.06746717 -1.14604918 -0.18721466 0.87765711 1.20742712], Predicted=[0.53001087 0.46998913] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[ 0.17209696 -1.17321019 -0.11727796 0.37633246 -0.035355 0.15829765 -0.29088194 0.59273142 0.14394366 -1.31313104 -1.06808001], Predicted=[0.89724066 0.10275934] X=[ 1.4757511 -0.77632281 0.2132802 0.65238274 -0.08113052 1.62841881 0.55630195 0.99398848 -0.58460464 -0.26155273 -0.41793512], Predicted=[0.84960403 0.15039597] X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349] X=[-0.18344508 2.59721989 -0.53047566 0.13971794 0.14774708 -1.60584774 0.93282812 0.33191433 -0.18721466 -0.96260494 -0.90554379], Predicted=[0.98395511 0.01604489] X=[ 0.05358295 0.31511748 -0.03463842 1.24391904 -0.35578364 -0.13572658 -0.5262108 0.45897907 -0.98199462 1.40344626 -0.09286267], Predicted=[0.71815443 0.28184557] X=[-1.48709922 -0.87554465 -0.53047566 -1.08279041 -0.2642326 0.9815655 -0.83213831 -1.25973868 2.06466192 -0.87497341 0.55728222], Predicted=[0.509393 0.490607] X=[-0.06493106 -1.27243203 -0.11727796 0.47492185 0.55972676 -0.6649702 -0.66740811 1.06086466 1.40234528 -0.78734189 -1.39315246], Predicted=[0.93012847 0.06987153] X=[-0.89452915 0.61278301 -0.36519658 -0.82645801 -0.44733468 -0.60616535 -0.90273697 -1.55399385 -0.8495313 -0.43681578 1.04489089], Predicted=[0.7032018 0.2967982] X=[-0.89452915 -0.9747665 0.2132802 -0.86589377 -0.35578364 -0.90018958 2.61542945 -0.57760167 1.20365029 2.63028763 0.63855033], Predicted=[0.67083694 0.32916306] X=[ 0.17209696 0.31511748 -0.1999175 0.53407548 -0.44733468 0.56993158 0.03857846 -0.624415 -1.37938461 -1.57602562 1.20742712], Predicted=[0.59894541 0.40105459] X=[ 1.59426511 -0.9747665 1.28759423 -1.04335466 -0.58466124 -0.42975081 -1.3498618 -0.57760167 -1.24692128 1.66634084 -0.09286267], Predicted=[0.76662625 0.23337375] X=[ 0.17209696 -0.0817699 0.2132802 2.82134917 -0.035355 0.56993158 0.74456503 2.33151201 -1.24692128 -0.34918426 -1.39315246], Predicted=[0.94077571 0.05922429] X=[-0.77601514 0.21589563 -0.11727796 -1.02363678 0.28507364 -0.19453143 1.09755832 -0.45722456 0.60756531 -0.43681578 -0.33666701], Predicted=[0.94278101 0.05721899] X=[-0.18344508 -0.47865728 -0.6131152 -0.98420103 0.6512778 -0.13572658 0.36803886 -0.2097827 0.34263866 0.61476253 -0.82427568], Predicted=[0.93514821 0.06485179] X=[-1.01304317 1.00967039 -0.6131152 -0.57012562 -0.4931102 0.15829765 -0.64387523 -1.77468524 -0.05475133 -0.17392121 2.5077169 ], Predicted=[0.33343639 0.66656361] X=[-0.30195909 2.79566358 -1.52215014 0.71153637 -0.40155916 0.15829765 0.43863752 0.80004757 0.60756531 0.26423642 -0.90554379], Predicted=[0.94913355 0.05086645] X=[ 0.40912499 -0.87554465 0.46119882 -1.02363678 -0.44733468 -0.19453143 -1.25573025 -0.74479212 -0.18721466 0.08897337 -0.01159456], Predicted=[0.77074387 0.22925613] X=[ 0.17209696 0.51356116 3.68414089 0.69181849 -0.17268156 -0.84138474 2.65072878 0.10787914 -1.18068962 0.527131 0.394746 ], Predicted=[0.89205964 0.10794036] X=[ 2.30534919 0.51356116 0.87439652 -0.00816613 -0.99664092 -1.54704289 -1.20866448 -0.7782302 -1.51184794 -0.78734189 1.69503579], Predicted=[0.5055434 0.4944566] X=[-0.4204731 0.11667379 -0.69575474 -0.76730438 4.40487043 -1.60584774 -0.64387523 -0.44384932 -1.24692128 -0.43681578 -0.49920323], Predicted=[0.99099078 0.00900922] X=[ 0.527639 0.21589563 0.04800112 -0.72786863 -0.08113052 -0.07692173 -0.71447388 -0.99557778 1.13741862 0.35186795 1.85757201], Predicted=[0.41022861 0.58977139] X=[ 0.527639 -1.37165388 1.28759423 -1.04335466 -0.35578364 -0.42975081 -0.92626985 -0.41041123 0.077712 2.01686694 0.06967355], Predicted=[0.74858806 0.25141194] X=[ 1.00169505 0.71200485 1.28759423 0.44534503 -0.58466124 0.39351704 1.12109121 -0.31009697 -0.31967798 -0.96260494 1.53249956], Predicted=[0.58500342 0.41499658] X=[-0.30195909 -0.18099175 -0.1999175 -0.31379322 4.22176835 0.33471219 0.69749926 0.3586648 0.077712 -0.96260494 -0.9868119 ], Predicted=[0.99065202 0.00934798] X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708 0.09949281 0.13271 -1.533931 0.21017533 -0.87497341 1.85757201], Predicted=[0.4478849 0.5521151] X=[ 1.23872307 0.11667379 -0.1999175 0.18901263 -0.53888572 0.09949281 0.36803886 -0.07603035 -0.8495313 -1.57602562 0.23220977], Predicted=[0.79875218 0.20124782] X=[-1.25007119 -0.0817699 -0.6131152 -0.57012562 1.15480852 -0.5473605 -1.63225643 -1.36674056 -0.58460464 -0.96260494 0.80108656], Predicted=[0.77929156 0.22070844] X=[-1.25007119 0.41433932 -1.10895244 -0.74758651 -0.85931436 -1.07660412 -0.3614806 -1.56068147 1.13741862 2.5426561 2.75152124], Predicted=[0.18420234 0.81579766] X=[ 3.01643326e+00 1.74519434e-02 -2.82557040e-01 -9.44765273e-01 -3.53550004e-02 4.06879593e-02 1.50455761e-02 4.38916213e-01 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=[0.94776255 0.05223745] X=[-0.77601514 -0.28021359 -0.69575474 -0.98420103 -0.7219878 -0.01811689 -0.78507254 -0.94542065 0.74002864 -0.43681578 0.47601411], Predicted=[0.70420022 0.29579978] X=[-0.4204731 0.61278301 -0.44783612 -0.90532952 -0.21845708 0.45232188 1.16815698 -0.41041123 -0.38590965 -1.05023647 -0.74300757], Predicted=[0.9586081 0.0413919] X=[ 0.527639 -0.18099175 -0.77839428 -0.9250474 0.1935226 -1.48823805 -0.62034234 -0.39034838 -0.51837298 -0.52444731 -0.49920323], Predicted=[0.93703104 0.06296896] X=[-0.06493106 -0.57787912 -0.28255704 0.82984363 1.109033 1.8636382 1.30935429 0.84017327 -1.97546959 -0.61207884 -1.23061624], Predicted=[0.96439135 0.03560865] X=[ 0.29061097 1.90266698 -0.77839428 -0.0771787 -0.08113052 -1.4294332 -1.44399334 0.52585524 0.14394366 0.61476253 -0.66173945], Predicted=[0.96386596 0.03613404] X=[ 1.12020906 0.61278301 -0.53047566 -1.02363678 -0.2642326 -0.60616535 -0.76153965 -0.27665888 -1.18068962 0.527131 -0.09286267], Predicted=[0.93429811 0.06570189] X=[ 0.64615301 -0.87554465 -0.28255704 -0.98420103 0.51395124 -0.13572658 -0.07908597 -0.34353506 -0.45214131 0.08897337 -0.74300757], Predicted=[0.91619489 0.08380511] X=[ 0.17209696 -1.37165388 -0.44783612 -1.0039189 -0.90508988 -1.48823805 -1.93818394 -0.169657 1.79973526 -0.34918426 -0.49920323], Predicted=[0.78714963 0.21285037] X=[-0.18344508 -0.37943543 0.6264779 0.45520397 -0.44733468 -0.37094597 0.22684155 0.39210289 0.21017533 1.14055168 -0.49920323], Predicted=[0.8118862 0.1881138] X=[ 0.29061097 0.21589563 1.0396756 -0.96448315 0.92593092 -0.37094597 -0.12615174 -1.14604918 -0.45214131 0.43949948 1.7763039 ], Predicted=[0.74181177 0.25818823] X=[-0.06493106 -0.9747665 -0.11727796 0.15943582 0.05619604 -1.07660412 -0.690941 0.31853909 1.53480861 -0.43681578 -0.09286267], Predicted=[0.77748788 0.22251212] X=[-0.06493106 -0.67710097 0.54383836 -0.01802507 -0.63043676 0.27590734 -0.40854637 -0.63110262 -0.05475133 0.35186795 1.20742712], Predicted=[0.44298656 0.55701344] X=[-0.30195909 1.55539053 0.37855928 0.55379335 0.55972676 1.80483335 2.4624657 1.43871506 0.27640699 0.43949948 -1.14934812], Predicted=[0.98521345 0.01478655] X=[-0.65750113 -0.28021359 -0.86103382 1.67771232 -0.31000812 0.68754127 0.08564423 1.01070752 -0.31967798 -1.22549952 -0.66173945], Predicted=[0.8390779 0.1609221] X=[ 2.18683518 -0.47865728 -0.11727796 1.38194417 -0.08113052 -0.01811689 0.72103215 1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366] X=[-0.65750113 0.11667379 0.54383836 0.02141068 -0.31000812 0.45232188 0.67396638 0.42554098 -0.25344632 -0.43681578 -0.9868119 ], Predicted=[0.95690556 0.04309444] X=[ 2.90610974e-01 4.14339320e-01 -7.78394281e-01 1.32279054e+00 1.93522599e-01 9.81565502e-01 1.54468315e+00 1.32836936e+00 -5.84604641e-01 1.34184656e-03 -1.39315246e+00], Predicted=[0.94279615 0.05720385] X=[-1.48709922 -0.32982451 -0.69575474 0.65238274 -0.63043676 -1.37062835 -1.65578931 -0.00915417 0.8062603 -1.31313104 -0.01159456], Predicted=[0.75337597 0.24662403] X=[ 0.64615301 -0.0817699 -0.44783612 -0.90532952 -0.2642326 0.56993158 -0.40854637 -1.20289393 -1.11445795 -0.78734189 1.126159 ], Predicted=[0.66247946 0.33752054] X=[ 0.17209696 -0.0817699 3.35358273 -1.0039189 5.82391155 -0.07692173 -0.40854637 -0.22984555 -0.98199462 -0.26155273 -1.06808001], Predicted=[0.99684848 0.00315152] X=[-0.65750113 -0.0817699 -0.69575474 -0.11661445 -0.35578364 0.9815655 0.39157175 0.32522671 0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165] X=[-0.65750113 1.10889223 -0.77839428 0.10028219 1.06325748 -1.54704289 -0.50267791 0.05772201 -0.25344632 -1.22549952 -0.2553989 ], Predicted=[0.9668745 0.0331255] X=[-8.94529153e-01 -1.07398834e+00 -4.47836120e-01 -3.72946850e-01 -5.84661239e-01 6.28736423e-01 2.73907319e-01 -2.43220790e-01 1.60104027e+00 1.34184656e-03 3.13477887e-01], Predicted=[0.6307084 0.3692916] X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542] X=[ 0.05358295 1.20811407 -0.28255704 0.82984363 -0.58466124 -0.6649702 -1.20866448 -0.46056836 -0.25344632 -0.34918426 1.85757201], Predicted=[0.43555356 0.56444644] X=[ 0.29061097 0.01745194 -0.6131152 -0.88561164 0.14774708 -1.37062835 -1.23219737 -0.2097827 -0.25344632 -0.96260494 -0.90554379], Predicted=[0.95957524 0.04042476] X=[ 0.17209696 0.21589563 0.37855928 1.67771232 -0.63043676 1.45200427 1.00342678 1.42868363 -0.05475133 1.05292016 -0.9868119 ], Predicted=[0.82783453 0.17216547] X=[-0.06493106 -0.87554465 0.2132802 -0.88561164 -0.4931102 -0.31214112 -0.99686851 -0.7782302 -0.25344632 0.43949948 0.23220977], Predicted=[0.73619175 0.26380825] X=[ 2.54237721 -0.32982451 0.37855928 -0.09689658 -0.035355 0.9815655 0.48570329 0.32522671 -1.71054293 -1.22549952 -0.2553989 ], Predicted=[0.90176648 0.09823352] X=[ 0.05358295 -0.28021359 0.13064066 -1.0039189 -0.31000812 -0.37094597 1.23875564 -1.079173 -0.38590965 0.26423642 0.394746 ], Predicted=[0.76498768 0.23501232] X=[-1.13155718 -1.07398834 -0.28255704 -0.98420103 -0.17268156 -0.60616535 -0.45561214 -0.31009697 3.25683187 2.01686694 -0.01159456], Predicted=[0.62786077 0.37213923] X=[-1.3685852 -1.27243203 -0.44783612 -0.53068986 -0.035355 1.27558973 0.29744021 -0.91198256 0.21017533 -1.92655172 0.55728222], Predicted=[0.70487046 0.29512954] X=[-0.4204731 -0.57787912 -1.19159198 -1.04335466 0.83437988 0.04068796 1.23875564 -0.35356648 -0.91576296 0.08897337 -0.82427568], Predicted=[0.96368584 0.03631416] X=[-1.01304317 -1.17321019 -0.94367336 -0.94476527 -0.17268156 0.04068796 -0.76153965 -1.17948726 0.34263866 -1.48839409 0.71981845], Predicted=[0.66776501 0.33223499] X=[-0.53898711 -0.28021359 1.94871055 -1.06307253 0.74282884 -0.84138474 -0.38501348 -0.5508512 -1.24692128 -0.78734189 -0.82427568], Predicted=[0.98010564 0.01989436] X=[-1.3685852 1.20811407 0.13064066 -0.25463959 -0.90508988 -1.07660412 -0.59680945 -1.17279965 -0.05475133 1.57870931 1.53249956], Predicted=[0.5384893 0.4615107] X=[ 0.05358295 0.41433932 -1.68742922 0.27774308 -0.17268156 -1.4294332 -0.50267791 0.6596076 0.27640699 -1.05023647 -1.06808001], Predicted=[0.95205163 0.04794837] X=[ 0.76466702 0.11667379 2.77510595 0.33689671 -0.40155916 1.04037035 0.65043349 0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863] X=[-1.3685852 0.01745194 -0.77839428 2.19037712 -0.08113052 1.45200427 0.67396638 1.62931216 0.8062603 -0.43681578 -0.90554379], Predicted=[0.8519543 0.1480457] X=[-0.06493106 -0.67710097 0.2132802 2.30868438 0.01042052 -0.19453143 -0.12615174 1.99713113 0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262] X=[ 0.527639 1.20811407 -0.44783612 0.02141068 -0.40155916 -0.5473605 -0.97333563 -0.851794 -0.18721466 0.79002558 1.69503579], Predicted=[0.43762314 0.56237686] X=[-5.38987115e-01 -1.07398834e+00 4.80011213e-02 -9.64483150e-01 2.16186995e+00 4.52321884e-01 -5.55530812e-02 -7.60303484e-02 4.08870320e-01 1.34184656e-03 -7.43007566e-01], Predicted=[0.96456319 0.03543681] X=[ 0.17209696 -0.67710097 -0.44783612 0.45520397 -0.035355 0.09949281 1.96827509 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=[0.78822664 0.21177336] X=[-0.65750113 0.61278301 1.53551285 -0.01802507 0.05619604 1.62841881 1.12109121 0.26169434 -0.05475133 -0.43681578 -0.74300757], Predicted=[0.95142236 0.04857764] X=[-0.06493106 -0.0817699 -1.77006876 -1.0039189 -0.2642326 3.03973513 0.69749926 -0.67791594 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.80304956 0.19695044] X=[-0.06493106 -0.57787912 -0.1999175 -0.01802507 -0.4931102 -0.13572658 0.74456503 -0.74479212 0.34263866 1.49107779 1.69503579], Predicted=[0.29714672 0.70285328] X=[-1.84264125 0.41433932 -1.77006876 0.04112856 -0.12690604 -0.78257989 0.06211135 -0.10946844 1.13741862 0.96528863 -0.09286267], Predicted=[0.82410815 0.17589185] X=[ 0.76466702 -0.37943543 1.28759423 0.59322911 0.10197156 0.86395581 0.25037443 0.72648377 -0.12098299 0.87765711 -0.01159456], Predicted=[0.81895257 0.18104743] X=[ 0.64615301 -0.9747665 -0.53047566 -1.0039189 0.10197156 -0.5473605 -0.78507254 -0.00915417 2.19712525 1.49107779 0.06967355], Predicted=[0.72191349 0.27808651] X=[-2.07966928 0.11667379 -0.44783612 0.37633246 -0.90508988 -0.48855566 -0.73800677 -0.31678458 1.13741862 -1.05023647 0.394746 ], Predicted=[0.70506282 0.29493718] X=[ 0.88318104 0.8112267 1.20495468 1.40166205 -0.35578364 0.51112673 -0.5262108 1.39524554 -0.98199462 -0.08628968 -1.06808001], Predicted=[0.94166749 0.05833251] X=[-0.89452915 1.30733592 -0.77839428 -0.94476527 0.14774708 -1.13540897 -0.0320202 -0.34353506 0.87249197 0.08897337 -0.09286267], Predicted=[0.95194164 0.04805836] X=[ 1.59426511 0.71200485 0.54383836 -0.01802507 -0.31000812 -0.01811689 0.55630195 -0.14290653 -0.25344632 -1.31313104 1.126159 ], Predicted=[0.76629364 0.23370636] X=[ 0.527639 -0.18099175 0.2132802 -0.23492171 -0.2642326 -0.25333627 0.06211135 -0.31009697 -0.18721466 0.87765711 0.394746 ], Predicted=[0.71944366 0.28055634] X=[ 0.64615301 -0.9747665 0.2132802 1.32279054 0.46817572 2.15766243 0.57983483 1.99713113 1.53480861 -1.22549952 -1.14934812], Predicted=[0.91280775 0.08719225] X=[-0.30195909 2.69644174 -2.67910371 -0.72786863 -0.53888572 1.21678489 -0.38501348 -1.14604918 -0.25344632 -1.66365715 1.126159 ], Predicted=[0.79520103 0.20479897] X=[-0.4204731 -1.07398834 -0.1999175 -0.96448315 -0.21845708 -0.07692173 -0.40854637 -1.03904729 -0.8495313 -0.26155273 -0.01159456], Predicted=[0.79409856 0.20590144] X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313] X=[ 0.05358295 4.68087862 -1.68742922 -0.01802507 -0.44733468 -0.95899443 -2.07938126 -0.30340935 -0.6508363 -2.10181478 0.47601411], Predicted=[0.96614547 0.03385453] X=[-1.01304317 0.61278301 -0.11727796 -0.51097199 -0.08113052 -1.31182351 -0.5262108 -0.98554635 1.33611362 -0.43681578 1.04489089], Predicted=[0.68088148 0.31911852] X=[ 0.76466702 -0.9747665 -0.1999175 1.04674027 0.23929812 -0.6649702 -1.04393428 0.99398848 0.01148034 -0.43681578 -0.82427568], Predicted=[0.85141233 0.14858767] X=[ 0.40912499 1.10889223 1.70079193 -0.98420103 5.09150323 -0.07692173 -0.14968462 0.15469246 -0.51837298 0.35186795 -1.23061624], Predicted=[0.99746023 0.00253977] X=[ 0.64615301 -0.77632281 0.29591974 2.08192879 0.10197156 0.45232188 1.21522275 1.82994069 -1.04822629 -0.61207884 -1.06808001], Predicted=[0.9193486 0.0806514] X=[ 0.527639 -0.28021359 -0.53047566 -0.51097199 0.05619604 -1.13540897 -1.39692757 -0.76819878 -0.78329963 -0.26155273 0.63855033], Predicted=[0.7450261 0.2549739] X=[ 0.527639 -0.87554465 -0.77839428 -0.01802507 0.37662468 -0.07692173 2.18007107 0.79335995 1.13741862 0.43949948 -0.41793512], Predicted=[0.89547703 0.10452297] X=[ 0.40912499 -0.0817699 -0.53047566 -0.78702226 0.10197156 -0.31214112 0.25037443 -0.14290653 -0.58460464 0.1766049 -1.06808001], Predicted=[0.94762709 0.05237291] X=[-0.53898711 0.51356116 -0.44783612 -1.04335466 -0.35578364 -0.31214112 -0.66740811 -0.7782302 -0.45214131 -0.61207884 -0.01159456], Predicted=[0.91466651 0.08533349] X=[-1.01304317 -1.07398834 0.2132802 -0.9250474 -0.17268156 -1.25301866 -1.82051951 -0.86516923 0.21017533 0.43949948 0.23220977], Predicted=[0.77777667 0.22222333] X=[ 1.12020906 -0.47865728 -0.44783612 -0.32365216 -0.17268156 0.56993158 0.65043349 -0.41041123 -1.51184794 -0.78734189 0.80108656], Predicted=[0.77446864 0.22553136] X=[-1.13155718 -0.47865728 -0.77839428 -0.94476527 -0.40155916 -0.19453143 -0.54974368 -1.09254824 0.14394366 0.1766049 0.71981845], Predicted=[0.6960028 0.3039972] X=[ 0.88318104 1.10889223 -0.94367336 -0.70815075 -0.44733468 -0.95899443 -0.59680945 -0.47728741 -1.04822629 -1.75128867 -0.2553989 ], Predicted=[0.94101086 0.05898914] X=[-0.65750113 -0.77632281 -0.28255704 -0.09689658 -0.53888572 -0.01811689 0.32097309 0.80004757 1.86596693 -0.78734189 -1.6369568 ], Predicted=[0.9400285 0.0599715] X=[-1.48709922 0.41433932 -0.11727796 0.37633246 -0.12690604 -0.19453143 -0.78507254 -0.45722456 0.34263866 -0.17392121 0.55728222], Predicted=[0.70497756 0.29502244] X=[ 0.88318104 0.91044854 0.04800112 -0.62927925 -0.81353884 0.39351704 0.55630195 -1.24636344 -1.18068962 -1.40076257 1.53249956], Predicted=[0.63930726 0.36069274] X=[-0.18344508 0.8112267 -0.6131152 0.29746096 -0.53888572 0.2171025 -0.3614806 -0.94876445 -1.31315295 -1.66365715 1.36996334], Predicted=[0.60292857 0.39707143] X=[-0.4204731 -1.27243203 -0.11727796 -1.0039189 -0.44733468 -0.95899443 -1.46752623 -1.46705482 -0.05475133 -0.69971036 1.45123145], Predicted=[0.47980551 0.52019449] X=[-0.77601514 -0.9747665 0.37855928 -0.96448315 -0.81353884 0.04068796 -0.50267791 -0.34353506 1.86596693 0.43949948 -0.66173945], Predicted=[0.78575185 0.21424815] X=[-1.96115527 -0.57787912 1.0396756 -0.03774295 0.92593092 0.33471219 1.14462409 -0.13621891 0.01148034 -0.61207884 -0.63465008], Predicted=[0.94750037 0.05249963] X=[ 0.88318104 0.21589563 0.54383836 -0.82645801 0.37662468 -0.37094597 0.86222946 0.14131723 0.01148034 0.35186795 -0.58047134], Predicted=[0.95752512 0.04247488] X=[ 0.05358295 -0.0817699 1.28759423 3.37344972 0.51395124 1.39319943 2.27420261 2.79964525 -1.37938461 -0.17392121 -1.55568868], Predicted=[0.96076974 0.03923026] X=[ 2.90610974e-01 8.11226697e-01 2.95919742e-01 -3.13793220e-01 -1.22551852e+00 2.17102498e-01 -5.73276568e-01 -1.22630059e+00 -7.17067969e-01 1.34184656e-03 1.77630390e+00], Predicted=[0.40217931 0.59782069] X=[ 1.71277913 -0.77632281 3.35358273 -0.38280579 -0.08113052 -0.13572658 -0.1967504 -0.54416359 0.40887032 -0.61207884 1.36996334], Predicted=[0.55526996 0.44473004] X=[ 0.17209696 0.21589563 -0.44783612 -0.82645801 -0.17268156 -0.84138474 0.90929523 -0.79160544 0.077712 0.70239405 0.71981845], Predicted=[0.762909 0.237091] X=[ 0.88318104 -0.67710097 2.19662917 -0.84617589 0.01042052 0.68754127 0.62690061 -0.14290653 -0.91576296 0.43949948 -0.33666701], Predicted=[0.92388917 0.07611083] X=[ 0.29061097 0.11667379 0.04800112 0.27774308 -0.44733468 0.80515096 -0.24381617 -0.0191856 0.14394366 -0.78734189 0.15094166], Predicted=[0.73202278 0.26797722] X=[ 0.40912499 0.51356116 -0.94367336 -0.37294685 -0.67621228 -1.48823805 -1.53812488 -1.09254824 -1.44561627 0.26423642 1.36996334], Predicted=[0.60163239 0.39836761] X=[-0.06493106 -0.57787912 0.13064066 2.19037712 -0.31000812 0.15829765 0.34450598 1.7965026 0.34263866 -0.61207884 -1.23061624], Predicted=[0.86751478 0.13248522] X=[-0.06493106 0.01745194 2.19662917 -1.04335466 3.94711523 0.39351704 -0.26734905 -0.2097827 -0.6508363 -0.43681578 -1.14934812], Predicted=[0.99346931 0.00653069] X=[ 1.00169505e+00 6.12783009e-01 2.03135009e+00 9.28433010e-01 -3.10008120e-01 3.34712191e-01 2.97440205e-01 1.26149319e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.9658405 0.0341595] X=[ 0.88318104 -1.17321019 0.6264779 -0.88561164 0.05619604 -0.48855566 0.29744021 -0.10946844 0.077712 0.35186795 -0.33666701], Predicted=[0.88308656 0.11691344] X=[-0.30195909 1.00967039 -1.52215014 -0.35322897 -0.08113052 -0.60616535 -1.42046046 -0.31009697 -0.51837298 -0.96260494 -0.2553989 ], Predicted=[0.92490391 0.07509609] X=[-0.30195909 -0.67710097 0.2132802 -1.10250829 -0.53888572 0.74634612 -0.59680945 -0.79494925 0.34263866 1.66634084 -0.01159456], Predicted=[0.6857088 0.3142912] X=[ 0.29061097 -0.77632281 0.2132802 1.02702239 -0.17268156 0.56993158 -0.33794771 0.99398848 -1.77677459 0.87765711 -0.82427568], Predicted=[0.90110575 0.09889425] X=[ 0.17209696 0.21589563 -0.11727796 0.00169281 -0.53888572 -0.42975081 -0.97333563 -0.54416359 0.27640699 -0.43681578 1.04489089], Predicted=[0.57200612 0.42799388] X=[-0.53898711 0.01745194 0.79175698 0.13971794 -0.035355 1.45200427 1.94474221 0.39210289 -0.6508363 -0.34918426 -0.90554379], Predicted=[0.95144121 0.04855879] X=[ 0.40912499 -0.77632281 2.27926871 1.93404472 -0.12690604 -1.25301866 -0.83213831 1.56243598 -0.8495313 -1.13786799 -1.06808001], Predicted=[0.93440351 0.06559649] X=[ 0.527639 -1.22282111 1.28759423 -1.0039189 -0.31000812 -0.07692173 -0.05555308 -0.47728741 -0.31967798 2.45502457 -0.01159456], Predicted=[0.75214505 0.24785495] X=[-1.13155718 0.31511748 -0.28255704 0.2580252 0.05619604 1.45200427 1.59174892 0.32522671 0.077712 -0.87497341 -0.74300757], Predicted=[0.93727558 0.06272442] X=[-0.65750113 0.61278301 -0.36519658 -0.03774295 0.01042052 -0.37094597 2.08593952 0.39210289 0.67379698 0.35186795 -0.33666701], Predicted=[0.94039751 0.05960249] X=[ 0.17209696 0.01745194 -0.11727796 -0.9250474 -0.35578364 -0.48855566 -0.24381617 -0.09274939 0.077712 1.14055168 -0.2553989 ], Predicted=[0.91216154 0.08783846] X=[-0.4204731 -0.18099175 -0.53047566 1.28335479 -0.08113052 1.98124789 1.80354489 0.89367421 -0.12098299 -0.52444731 -0.41793512], Predicted=[0.82738743 0.17261257] X=[-1.13155718 0.01745194 -1.60478968 0.43548609 -0.63043676 -0.31214112 0.08564423 0.46566668 0.60756531 -0.43681578 -0.82427568], Predicted=[0.89087982 0.10912018] X=[-0.30195909 0.31511748 0.37855928 1.9044679 0.55972676 -1.13540897 0.62690061 1.89681687 1.26988195 0.96528863 -1.06808001], Predicted=[0.92943314 0.07056686] X=[ 0.05358295 0.51356116 -0.6131152 -0.27435747 -0.85931436 0.62873642 0.10917712 -0.54416359 0.40887032 -0.52444731 0.55728222], Predicted=[0.65560165 0.34439835] X=[-0.77601514 0.51356116 0.6264779 2.05235198 -0.40155916 1.33439458 0.81516369 1.60256169 0.40887032 0.70239405 -0.90554379], Predicted=[0.86128671 0.13871329] X=[-0.89452915 -1.52048664 -0.69575474 -0.60956137 -0.2642326 -1.48823805 -1.63225643 -0.2097827 2.32958858 0.87765711 -0.33666701], Predicted=[0.67763795 0.32236205] X=[ 0.88318104 -0.18099175 0.2132802 -0.94476527 -0.63043676 -1.72345743 -0.76153965 -0.34353506 -0.25344632 -0.78734189 -0.09286267], Predicted=[0.91085175 0.08914825] X=[ 1.94980715 -0.47865728 0.54383836 0.69181849 -0.44733468 -0.6649702 -1.1851316 0.3586648 -1.11445795 -0.61207884 -0.01159456], Predicted=[0.7367499 0.2632501] X=[ 0.88318104 -0.57787912 -0.44783612 1.1058939 0.46817572 1.92244304 0.10917712 1.42868363 -1.31315295 -1.66365715 -1.06808001], Predicted=[0.95511165 0.04488835] X=[ 1.12020906 -0.28021359 0.04800112 1.4410978 -0.08113052 1.80483335 1.07402544 1.91687972 0.21017533 2.27976152 -1.31188435], Predicted=[0.86333983 0.13666017] X=[ 1.4757511 -0.77632281 -0.28255704 -1.0039189 -0.44733468 -1.66465259 -2.10291414 -0.53747597 -1.31315295 2.10449847 -0.17413078], Predicted=[0.78864609 0.21135391] X=[ 1.35723709 -0.0817699 -0.03463842 -1.02363678 0.1935226 0.33471219 -0.83213831 -1.33999009 -1.24692128 -0.34918426 1.53249956], Predicted=[0.58981914 0.41018086] X=[ 1.23872307e+00 -1.80991745e-01 -3.46384190e-02 7.70689997e-01 -3.10008120e-01 2.21646728e+00 1.73294624e+00 9.60550391e-01 -1.71054293e+00 1.34184656e-03 -8.24275678e-01], Predicted=[0.9088715 0.0911285] X=[ 0.88318104 -0.47865728 -0.36519658 0.43548609 0.33084916 1.7460285 0.17977578 0.75992186 -0.51837298 -1.48839409 -0.58047134], Predicted=[0.91202366 0.08797634] X=[-0.06493106 -1.17321019 0.2132802 -1.0039189 -0.53888572 -0.19453143 -0.94980274 -1.15273679 -1.11445795 0.79002558 0.63855033], Predicted=[0.64375062 0.35624938] X=[-0.53898711 1.40655776 -1.19159198 0.57351123 -0.12690604 -0.42975081 0.15624289 0.10119152 0.27640699 0.35186795 0.37849238], Predicted=[0.81188694 0.18811306] X=[ 0.29061097 -1.37165388 0.13064066 -0.98420103 -0.31000812 -0.6649702 -0.24381617 -0.63779023 -1.44561627 1.66634084 -0.09286267], Predicted=[0.82427439 0.17572561] X=[ 0.40912499 -0.67710097 -0.44783612 -0.72786863 -0.58466124 0.15829765 -1.04393428 -1.09589204 -1.31315295 -0.52444731 1.04489089], Predicted=[0.60952096 0.39047904] X=[-0.53898711 0.31511748 0.46119882 0.21858945 -0.2642326 1.27558973 1.75647912 0.24163149 0.87249197 -0.52444731 -0.41793512], Predicted=[0.86670009 0.13329991] X=[ 0.29061097 -0.9747665 0.46119882 1.74672489 0.05619604 0.56993158 0.46217041 1.81656545 1.0049553 2.45502457 -1.14934812], Predicted=[0.76797841 0.23202159] X=[ 0.40912499 -1.07398834 -0.44783612 2.20023605 0.1935226 -0.13572658 0.36803886 1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=[0.93439907 0.06560093] X=[-1.13155718 -0.47865728 -0.28255704 1.28335479 0.37662468 1.27558973 0.74456503 1.06086466 0.60756531 -0.87497341 -0.90554379], Predicted=[0.89688719 0.10311281] X=[-0.77601514 0.8112267 -0.94367336 -0.22506277 -0.35578364 0.51112673 0.15624289 -0.73141688 0.21017533 -0.78734189 0.55728222], Predicted=[0.73987435 0.26012565] X=[-0.4204731 0.01745194 -0.44783612 2.76219554 -0.21845708 0.27590734 0.13271 2.06400731 -0.31967798 -0.96260494 -1.47442057], Predicted=[0.91210635 0.08789365] X=[ 0.88318104 -0.77632281 0.2132802 -0.88561164 -0.12690604 -0.6649702 -0.64387523 -0.55419501 0.67379698 0.43949948 0.63855033], Predicted=[0.67202619 0.32797381] X=[ 3.49048932 -1.17321019 1.0396756 -0.90532952 0.01042052 -0.72377504 -0.1967504 0.61613808 -0.98199462 1.57870931 -0.74300757], Predicted=[0.92414412 0.07585588] X=[-4.20473102e-01 -5.77879122e-01 1.37023377e+00 1.97348047e+00 1.01971559e-01 4.06879593e-02 1.02695966e+00 1.67612548e+00 -1.11445795e+00 1.34184656e-03 -1.39315246e+00], Predicted=[0.95270735 0.04729265] X=[-1.25007119 0.51356116 -1.10895244 1.9044679 0.05619604 -0.5473605 0.65043349 1.19461701 -0.6508363 -0.26155273 -1.31188435], Predicted=[0.93757108 0.06242892] X=[-0.30195909 0.61278301 -0.44783612 -1.0039189 -0.4931102 -0.19453143 -1.13806583 -0.81166829 -0.58460464 -0.61207884 0.15094166], Predicted=[0.89217674 0.10782326] X=[ 0.29061097 -1.32204295 -0.03463842 -0.35322897 0.1935226 -0.13572658 -0.17321751 0.05772201 0.60756531 -0.78734189 -0.74300757], Predicted=[0.86443171 0.13556829] X=[-0.06493106 -1.27243203 -0.28255704 -0.21520384 0.1935226 0.27590734 -0.26734905 0.05772201 1.40234528 -0.87497341 -0.66173945], Predicted=[0.79763394 0.20236606] X=[-0.4204731 2.3987762 -1.35687106 -0.98420103 0.05619604 -1.78226228 -2.64417051 -0.27665888 0.47510198 -1.48839409 -0.41793512], Predicted=[0.97972321 0.02027679] X=[ 1.35723709 -0.28021359 -1.68742922 2.13122349 -0.44733468 0.80515096 1.89767644 1.86337878 -1.51184794 -0.26155273 -0.66173945], Predicted=[0.86741104 0.13258896] X=[ 0.17209696 0.31511748 -0.1999175 0.53407548 -0.44733468 0.56993158 0.03857846 -0.624415 -1.37938461 -1.57602562 1.20742712], Predicted=[0.59894541 0.40105459] X=[ 1.12020906 -0.87554465 -0.11727796 0.19887157 -1.4086206 0.68754127 -0.33794771 -0.41709885 -1.31315295 -0.87497341 0.394746 ], Predicted=[0.50377303 0.49622697] X=[-0.18344508 0.11667379 0.95703606 1.55940506 0.37662468 -0.31214112 1.00342678 1.55909217 -0.31967798 0.70239405 -1.14934812], Predicted=[0.95364876 0.04635124] X=[ 0.29061097 0.41433932 0.54383836 -0.96448315 -0.53888572 -1.31182351 -1.27926314 0.12459818 1.53480861 0.96528863 -0.09286267], Predicted=[0.90647252 0.09352748] X=[-0.4204731 1.50577961 -0.44783612 0.95800982 -0.63043676 -0.25333627 -1.20866448 -0.61103976 -1.11445795 -0.96260494 1.53249956], Predicted=[0.5445308 0.4554692] X=[-0.89452915 1.20811407 -0.1999175 -1.08279041 0.10197156 -0.72377504 0.74456503 -0.34353506 0.21017533 2.45502457 -0.82427568], Predicted=[0.95786145 0.04213855] X=[-0.53898711 0.21589563 1.45287331 -0.17576808 0.10197156 1.56961397 0.79163081 0.05772201 -0.71706797 -0.34918426 -1.14934812], Predicted=[0.95526135 0.04473865] X=[ 0.64615301 -0.18099175 0.79175698 -0.0771787 -1.08819196 -0.78257989 -0.31441482 -0.41041123 -0.38590965 0.527131 0.80108656], Predicted=[0.60487184 0.39512816] X=[-0.77601514 -1.27243203 -0.53047566 -0.98420103 -0.21845708 0.92276066 -0.50267791 -1.04573491 0.60756531 -0.96260494 0.55728222], Predicted=[0.62746954 0.37253046] X=[-0.65750113 -0.47865728 -0.1999175 -0.96448315 -1.08819196 -1.4294332 -1.32632891 -1.61418241 0.74002864 -0.78734189 1.93884012], Predicted=[0.35787715 0.64212285] X=[-1.72412724 -0.9747665 -0.77839428 -0.31379322 -0.21845708 -0.31214112 -0.59680945 0.14131723 1.53480861 -0.78734189 -0.90554379], Predicted=[0.90591483 0.09408517] X=[-1.25007119 -0.0817699 -0.53047566 1.16504753 -0.035355 1.15798004 0.74456503 1.06086466 0.60756531 -0.61207884 -0.9868119 ], Predicted=[0.91082813 0.08917187] X=[-1.84264125 3.19255096 0.04800112 -0.98420103 -0.67621228 -1.89987197 -1.8440524 -1.8348738 0.54133365 -0.96260494 2.02010823], Predicted=[0.78846549 0.21153451] X=[ 4.09124986e-01 1.20811407e+00 2.36190825e+00 8.69279380e-01 -2.18457080e-01 2.04005274e+00 1.19168986e+00 1.19461701e+00 -7.17067969e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.97157888 0.02842112] X=[-1.25007119 -0.57787912 -0.36519658 -1.0039189 -0.44733468 -0.60616535 -1.65578931 -1.7980919 0.34263866 -1.22549952 1.69503579], Predicted=[0.44072075 0.55927925] X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=[0.77032992 0.22967008] X=[ 0.05358295 0.51356116 -0.44783612 -1.0039189 0.23929812 0.09949281 1.14462409 -0.44384932 0.54133365 0.96528863 -0.17413078], Predicted=[0.89273437 0.10726563] X=[-0.4204731 0.01745194 0.04800112 -0.55040774 -0.2642326 -0.37094597 -0.40854637 -0.97551493 0.60756531 -0.08628968 1.28869523], Predicted=[0.57226331 0.42773669] X=[-0.65750113 -0.87554465 -0.44783612 -0.90532952 -1.08819196 -0.42975081 0.46217041 -1.11261109 0.077712 1.31581474 0.71981845], Predicted=[0.52113482 0.47886518] X=[-0.53898711 2.20033252 -1.10895244 -0.78702226 0.60550228 -0.95899443 -0.62034234 -0.29672173 -0.05475133 -0.78734189 -1.06808001], Predicted=[0.98347464 0.01652536] X=[ 0.40912499 -0.87554465 -0.1999175 -0.98420103 0.01042052 0.09949281 -0.07908597 -0.04259226 1.0049553 0.70239405 -0.2553989 ], Predicted=[0.85487545 0.14512455] X=[ 0.05358295 -0.57787912 0.29591974 1.6974302 0.33084916 1.39319943 0.93282812 1.72962642 1.20365029 2.8931822 -0.82427568], Predicted=[0.73464935 0.26535065] X=[ 0.17209696 0.61278301 -1.93534784 -0.57012562 -0.08113052 -1.07660412 -1.77345374 -0.10946844 -1.18068962 -0.87497341 -1.06808001], Predicted=[0.96505575 0.03494425] X=[ 0.17209696 0.31511748 -0.6131152 0.19887157 1.06325748 -0.42975081 0.50923618 0.45897907 -0.38590965 -0.26155273 -0.58047134], Predicted=[0.95526351 0.04473649] X=[-0.30195909 -0.37943543 -0.28255704 0.96786876 -0.90508988 -1.4294332 -1.44399334 -0.07268654 -0.38590965 0.527131 1.85757201], Predicted=[0.38592823 0.61407177] X=[-1.3685852 -0.67710097 -0.11727796 -1.08279041 -0.35578364 0.15829765 -0.40854637 -1.09923585 0.34263866 -0.26155273 0.06967355], Predicted=[0.78453786 0.21546214] X=[-0.77601514 0.71200485 -0.36519658 0.1791537 -0.08113052 1.21678489 2.48599858 0.52585524 1.13741862 0.527131 -0.41793512], Predicted=[0.90582431 0.09417569] X=[ 0.05358295 1.00967039 -0.44783612 0.37633246 0.74282884 -0.78257989 0.65043349 0.34528957 -0.18721466 2.01686694 0.06967355], Predicted=[0.89056318 0.10943682] X=[ 1.00169505 0.01745194 -0.36519658 -0.4123826 0.23929812 -0.60616535 0.08564423 -0.04259226 -0.18721466 -0.87497341 -0.2553989 ], Predicted=[0.90904849 0.09095151] X=[-0.06493106 0.41433932 -1.0263129 -0.82645801 -0.08113052 -1.19421382 -1.65578931 -0.27665888 -0.12098299 -0.87497341 -0.90554379], Predicted=[0.95305671 0.04694329] X=[-1.25007119 0.8112267 -0.6131152 -0.60956137 -0.35578364 0.27590734 0.34450598 -0.97885873 1.0049553 0.527131 0.63855033], Predicted=[0.67374111 0.32625889] X=[ 0.88318104 1.20811407 -0.53047566 -1.02363678 0.33084916 -0.72377504 1.28582141 -0.79829306 0.21017533 -0.96260494 0.88235467], Predicted=[0.87871567 0.12128433] X=[ 0.29061097 3.58943834 1.28759423 -0.90532952 0.1935226 -1.07660412 -0.24381617 0.19147436 0.8062603 0.79002558 0.06967355], Predicted=[0.98554277 0.01445723] X=[ 0.76466702 -1.07398834 3.10566411 1.06645815 -0.35578364 0.9815655 0.22684155 1.33171317 -1.04822629 -0.26155273 -1.31188435], Predicted=[0.94013057 0.05986943] X=[-0.06493106 -0.77632281 2.11398963 -1.08279041 4.63374803 0.15829765 -0.14968462 -0.34353506 -0.91576296 -0.96260494 -1.14934812], Predicted=[0.99385255 0.00614745] X=[ 1.83129314 0.31511748 -0.1999175 -1.07293147 -1.13396748 0.9815655 0.22684155 -1.21961297 -1.71054293 -1.48839409 0.80108656], Predicted=[0.68980019 0.31019981] X=[-0.30195909 -0.18099175 0.2132802 -1.02363678 -0.4931102 0.45232188 -0.29088194 -1.03235968 -1.18068962 1.22818321 0.71981845], Predicted=[0.7531894 0.2468106] X=[ 0.527639 0.61278301 -0.28255704 0.59322911 0.51395124 -0.07692173 0.93282812 0.50579239 -0.25344632 -0.43681578 -0.09286267], Predicted=[0.90470928 0.09529072] X=[ 1.35723709 -0.28021359 1.28759423 -1.02363678 0.69705332 -0.48855566 -0.50267791 -0.07603035 -0.71706797 -1.31313104 -0.90554379], Predicted=[0.9735437 0.0264563] X=[-0.30195909 1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382 -1.25573025 -1.34667771 0.60756531 0.1766049 2.34518068], Predicted=[0.48966227 0.51033773] X=[ 0.05358295 -0.67710097 -0.03463842 -0.98420103 0.46817572 -0.01811689 -0.05555308 -0.07603035 2.92567355 2.5426561 -0.17413078], Predicted=[0.6959328 0.3040672] X=[ 0.527639 0.21589563 3.35358273 1.40166205 -0.31000812 0.62873642 0.62690061 1.39524554 -1.11445795 -0.78734189 -1.47442057], Predicted=[0.96745968 0.03254032] X=[-0.53898711 -1.52048664 0.2132802 -0.98420103 -0.08113052 -0.78257989 -1.65578931 -1.29986438 -0.25344632 0.08897337 0.96362278], Predicted=[0.57098752 0.42901248] X=[ 0.40912499 -0.47865728 -1.19159198 1.4410978 0.28507364 0.68754127 1.37995295 1.54571694 -0.45214131 0.35186795 -1.23061624], Predicted=[0.91823759 0.08176241] X=[-1.01304317 -0.0817699 -0.11727796 -0.55040774 -0.4931102 0.04068796 -0.12615174 -0.62775881 0.27640699 -0.26155273 0.23220977], Predicted=[0.80534503 0.19465497] X=[-0.77601514 -0.77632281 -0.1999175 -1.06307253 -0.67621228 -0.78257989 -1.53812488 -1.2296444 0.34263866 0.26423642 0.63855033], Predicted=[0.60833389 0.39166611] X=[ 0.29061097 -1.57009756 -0.11727796 0.63266486 0.37662468 1.68722366 0.55630195 0.72648377 1.40234528 -0.69971036 -0.90554379], Predicted=[0.73512585 0.26487415] X=[ 1.12020906 -0.28021359 -0.44783612 0.15943582 -0.2642326 0.62873642 0.95636101 0.46232287 -0.31967798 0.96528863 -0.33666701], Predicted=[0.8165063 0.1834937] X=[-1.3685852 -1.37165388 -0.28255704 -0.19548596 -0.035355 -0.5473605 -0.78507254 0.22156864 0.87249197 -0.34918426 -0.9868119 ], Predicted=[0.90985064 0.09014936] X=[-0.30195909 -0.28021359 -0.69575474 -1.0039189 -0.2642326 -0.42975081 -1.25573025 -1.40017865 -2.10793291 -0.08628968 0.55728222], Predicted=[0.7924245 0.2075755] X=[ 1.12020906 -0.0817699 2.03135009 0.94815089 -0.44733468 0.51112673 0.53276906 1.2280551 -0.8495313 -0.69971036 -1.31188435], Predicted=[0.95117967 0.04882033] X=[ 0.527639 1.30733592 -0.77839428 0.08056431 0.51395124 0.33471219 0.57983483 0.29178862 0.077712 -0.69971036 -0.49920323], Predicted=[0.93877392 0.06122608] X=[ 0.527639 0.01745194 0.79175698 -0.9250474 1.5667882 -0.84138474 -0.3614806 -1.17948726 0.01148034 -0.61207884 1.85757201], Predicted=[0.74638936 0.25361064] X=[ 0.05358295 0.8112267 -0.44783612 1.41152099 0.10197156 0.92276066 1.19168986 1.2681808 -1.24692128 0.96528863 -0.82427568], Predicted=[0.93618886 0.06381114] X=[ 0.88318104 2.00188883 0.29591974 -1.02363678 -0.53888572 -1.78226228 -1.91465106 -0.49066264 -0.91576296 0.43949948 -0.09286267], Predicted=[0.95272626 0.04727374] X=[ 1.23872307 1.80344514 0.54383836 0.73125424 5.59503395 -0.95899443 1.07402544 1.2681808 -0.8495313 1.14055168 -0.82427568], Predicted=[0.99640301 0.00359699] X=[ 2.18683518 -0.47865728 -0.11727796 1.38194417 -0.08113052 -0.01811689 0.72103215 1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366] X=[-0.30195909 -0.0817699 -0.03463842 -0.98420103 -0.17268156 -0.6649702 1.05049255 -0.62775881 0.67379698 -0.26155273 0.15094166], Predicted=[0.86805291 0.13194709] X=[-0.65750113 -1.07398834 -0.86103382 -0.13633233 0.10197156 0.51112673 0.20330866 -0.06934273 -0.71706797 0.43949948 -0.41793512], Predicted=[0.85684531 0.14315469] X=[ 0.76466702 0.26550655 0.54383836 2.46642739 0.60550228 0.51112673 0.74456503 1.99713113 -1.31315295 -0.26155273 -1.23061624], Predicted=[0.94393666 0.05606334] X=[-0.77601514 -0.18099175 0.29591974 0.13971794 0.05619604 1.09917519 1.47408449 0.40213432 0.01148034 -0.08628968 -0.82427568], Predicted=[0.93260841 0.06739159] X=[ 0.17209696 -1.07398834 -0.1999175 -0.31379322 -0.53888572 -0.07692173 -0.14968462 0.12459818 1.13741862 -0.08628968 -0.74300757], Predicted=[0.79627303 0.20372697] X=[ 0.76466702 -0.18099175 1.53551285 1.34250842 0.05619604 1.68722366 0.95636101 1.39524554 -0.58460464 -0.26155273 -1.23061624], Predicted=[0.92512116 0.07487884] X=[-0.30195909 -0.37943543 -0.77839428 0.43548609 -0.53888572 -0.60616535 -0.07908597 0.59941904 0.93872363 0.87765711 -0.17413078], Predicted=[0.78655013 0.21344987] X=[ 0.05358295 -0.28021359 -0.36519658 -0.78702226 -0.35578364 -0.42975081 -1.46752623 -1.05242253 -1.18068962 -1.13786799 0.96362278], Predicted=[0.76229702 0.23770298] X=[ 1.71277913 2.10111067 -0.86103382 0.0509875 -0.53888572 -1.72345743 0.46217041 -0.19640747 -0.91576296 -0.08628968 0.55728222], Predicted=[0.8561869 0.1438131] X=[ 1.83129314 -0.87554465 0.79175698 -0.84617589 0.28507364 -0.90018958 -0.80860543 -0.00915417 -2.24039624 -0.26155273 -0.82427568], Predicted=[0.96452345 0.03547655] X=[-0.30195909 -0.9747665 0.13064066 -0.96448315 0.14774708 0.80515096 0.06211135 -0.2097827 1.60104027 3.15607678 -0.2553989 ], Predicted=[0.69728783 0.30271217] X=[ 2.77940524 0.61278301 -0.53047566 -1.02363678 -0.90508988 -1.07660412 -1.53812488 -0.64447785 -0.71706797 -0.87497341 0.23220977], Predicted=[0.78377617 0.21622383] X=[ 0.17209696 0.21589563 0.37855928 1.67771232 -0.63043676 1.45200427 1.00342678 1.42868363 -0.05475133 1.05292016 -0.9868119 ], Predicted=[0.82783453 0.17216547] X=[-1.01304317 -0.67710097 0.37855928 -1.10250829 -1.179743 -0.78257989 -0.94980274 -1.54396243 0.47510198 -1.48839409 1.04489089], Predicted=[0.57439363 0.42560637] X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542] X=[ 1.00169505 -1.17321019 0.6264779 -0.9250474 0.10197156 1.45200427 0.81516369 -0.27665888 0.34263866 1.49107779 0.55728222], Predicted=[0.67803874 0.32196126] X=[ 1.23872307 -0.28021359 0.04800112 0.98758664 -0.2642326 1.04037035 1.49761738 1.02073895 -0.51837298 0.70239405 -0.74300757], Predicted=[0.83185112 0.16814888] X=[-0.18344508 1.40655776 0.46119882 1.12561178 -0.2642326 1.51080912 2.58013012 1.30830651 0.8062603 0.79002558 -0.66173945], Predicted=[0.92339974 0.07660026] X=[-2.90926737 2.59721989 -2.01798739 -0.25463959 -0.35578364 0.9815655 -0.97333563 -1.27311391 1.46857694 -0.78734189 1.36996334], Predicted=[0.65289586 0.34710414] X=[-1.13155718 -0.18099175 -0.77839428 -0.78702226 0.01042052 -0.48855566 -0.14968462 -0.56422644 2.92567355 2.10449847 0.63855033], Predicted=[0.53467279 0.46532721] X=[ 0.29061097 -0.67710097 0.13064066 -0.76730438 -0.2642326 0.33471219 1.12109121 -0.91867018 0.87249197 0.61476253 1.61376767], Predicted=[0.42351752 0.57648248] X=[ 2.77940524 -0.47865728 0.13064066 0.8495615 -0.40155916 -0.07692173 0.15624289 1.36180745 -0.6508363 -1.48839409 -0.66173945], Predicted=[0.90493561 0.09506439] X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=[0.36458132 0.63541868] X=[-0.30195909 -0.87554465 -0.03463842 -0.90532952 -0.4931102 0.39351704 0.22684155 -0.69129117 -0.25344632 -1.13786799 -0.2553989 ], Predicted=[0.85389891 0.14610109] X=[ 0.17209696 -1.47087572 0.29591974 1.27349585 -0.17268156 0.04068796 -0.78507254 0.59607523 -0.91576296 0.527131 0.15094166], Predicted=[0.62479758 0.37520242] X=[ 0.527639 -0.37943543 0.46119882 2.27910756 0.51395124 0.56993158 0.25037443 1.96369304 0.14394366 -1.13786799 -1.55568868], Predicted=[0.92044521 0.07955479] X=[-0.06493106 0.31511748 -0.11727796 0.23830733 0.28507364 -0.01811689 0.10917712 0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=[0.9680569 0.0319431] X=[-0.4204731 -1.17321019 -0.03463842 -0.31379322 -0.12690604 0.56993158 -0.57327657 -0.67791594 -0.05475133 -0.43681578 0.55728222], Predicted=[0.61565407 0.38434593] X=[-1.25007119 0.21589563 0.37855928 -0.29407534 -0.31000812 -0.78257989 -1.23219737 -1.47039863 0.27640699 0.79002558 2.10137634], Predicted=[0.32993606 0.67006394] X=[-0.18344508 0.61278301 -0.28255704 0.41576822 0.60550228 -0.6649702 0.32097309 0.70976473 1.79973526 1.31581474 0.394746 ], Predicted=[0.83950899 0.16049101] X=[-0.30195909 0.61278301 0.54383836 0.33689671 0.01042052 1.92244304 0.74456503 0.30516386 -0.25344632 0.08897337 -0.79718631], Predicted=[0.90289357 0.09710643] X=[ 0.527639 -0.28021359 0.70911744 1.53968719 -0.21845708 1.27558973 1.02695966 1.86337878 0.67379698 2.27976152 -1.14934812], Predicted=[0.84984573 0.15015427] X=[ 0.05358295 -0.87554465 -0.1999175 2.53543996 -0.12690604 0.15829765 0.67396638 1.84331592 -1.71054293 0.26423642 -1.14934812], Predicted=[0.88729614 0.11270386] X=[-1.13155718 2.00188883 -0.28255704 -0.96448315 -0.40155916 -0.95899443 -1.42046046 -1.1560806 1.86596693 -0.61207884 1.126159 ], Predicted=[0.76153481 0.23846519] X=[ 1.4757511 -0.18099175 0.29591974 -0.88561164 1.20058404 0.74634612 0.48570329 0.29178862 1.20365029 1.84160389 0.31347789], Predicted=[0.86436557 0.13563443] X=[-2.43521132 -0.18099175 -0.86103382 0.82984363 -0.53888572 -0.72377504 -0.64387523 -0.43047409 1.79973526 -1.8389202 0.80108656], Predicted=[0.51264153 0.48735847] X=[ 2.77940524 0.01745194 1.28759423 1.06645815 -0.17268156 -0.37094597 -0.0320202 1.32836936 -0.58460464 -1.31313104 -0.33666701], Predicted=[0.90003509 0.09996491] X=[-0.06493106 -0.18099175 0.79175698 1.05659921 -0.035355 1.04037035 1.40348584 0.96055039 0.47510198 0.527131 -0.82427568], Predicted=[0.85324281 0.14675719] X=[-0.06493106 0.91044854 -0.44783612 -0.88561164 -0.99664092 1.68722366 -0.76153965 -1.37008437 1.7335036 0.96528863 1.69503579], Predicted=[0.21306253 0.78693747] X=[ 0.29061097 1.50577961 -0.69575474 -0.70815075 -0.44733468 0.45232188 -0.14968462 -1.43027293 0.14394366 -0.17392121 2.34518068], Predicted=[0.41541693 0.58458307] X=[ 0.05358295 0.21589563 -1.0263129 1.83545534 0.46817572 0.80515096 0.48570329 1.4186522 -0.51837298 -0.08628968 -1.23061624], Predicted=[0.90684001 0.09315999] X=[-0.06493106 0.31511748 0.70911744 0.10028219 0.01042052 0.86395581 0.81516369 0.59273142 0.01148034 -0.26155273 -1.23061624], Predicted=[0.95702728 0.04297272] X=[-0.06493106 0.01745194 0.2132802 0.31717883 -0.035355 -0.42975081 -0.3614806 -0.41041123 -1.11445795 -1.05023647 0.71981845], Predicted=[0.77744299 0.22255701] X=[-0.53898711 0.61278301 -0.86103382 -0.01802507 -0.31000812 0.09949281 0.10917712 0.12459818 0.01148034 1.40344626 -0.41793512], Predicted=[0.87325586 0.12674414] X=[ 0.05358295 -0.47865728 -0.11727796 1.97348047 -0.035355 1.56961397 0.34450598 1.06086466 0.21017533 -0.61207884 -0.01159456], Predicted=[0.6075253 0.3924747] X=[-1.84264125 0.51356116 -0.28255704 -1.02363678 0.10197156 -0.60616535 -0.45561214 -1.19620631 0.87249197 1.14055168 0.63855033], Predicted=[0.77290661 0.22709339] X=[-1.3685852 -0.23060267 2.60982687 -1.02363678 1.52101268 -1.07660412 -0.0320202 -0.32012839 0.077712 -0.61207884 -0.90554379], Predicted=[0.98750544 0.01249456] X=[ 0.05358295 -0.18099175 -0.03463842 1.22420116 0.23929812 1.39319943 0.81516369 1.32836936 1.33611362 -0.96260494 -0.49920323], Predicted=[0.86174982 0.13825018] X=[-1.13155718 0.41433932 -0.6131152 -0.96448315 0.51395124 -1.07660412 0.06211135 -0.7782302 0.34263866 -1.13786799 0.15094166], Predicted=[0.93544326 0.06455674] X=[-0.65750113 -1.07398834 -0.11727796 -1.06307253 -0.2642326 0.2171025 -0.47914502 -1.72787191 0.8062603 -0.78734189 2.10137634], Predicted=[0.28787385 0.71212615] X=[-1.01304317 0.01745194 -0.53047566 1.79601958 -0.44733468 -0.25333627 -0.10261885 0.0175963 0.01148034 -0.43681578 2.02010823], Predicted=[0.28876669 0.71123331] X=[ 1.59426511 -0.37943543 -0.28255704 -0.80674014 0.1935226 -0.72377504 -0.76153965 -0.0191856 -1.37938461 0.08897337 -0.41793512], Predicted=[0.93887346 0.06112654] X=[ 1.94980715 -0.67710097 -0.6131152 0.56365229 -0.53888572 2.21646728 0.08564423 0.15803627 -0.91576296 -1.05023647 0.71981845], Predicted=[0.48663534 0.51336466] X=[ 1.94980715 -0.47865728 -0.44783612 0.92843301 -0.58466124 -0.31214112 -0.97333563 0.34863337 -1.04822629 -0.87497341 -0.01159456], Predicted=[0.63279254 0.36720746] X=[ 0.05358295 -0.77632281 -0.28255704 -0.3335111 -0.21845708 0.27590734 0.22684155 -0.27665888 -0.18721466 -1.22549952 -0.2553989 ], Predicted=[0.84282936 0.15717064] X=[ 2.18683518 0.31511748 -1.0263129 -0.15605021 -0.31000812 -0.42975081 -1.6793222 -0.24990841 -1.51184794 0.26423642 0.394746 ], Predicted=[0.72284446 0.27715554] X=[ 1.23872307 -0.23060267 -0.6131152 -0.86589377 -0.90508988 0.27590734 1.21522275 -0.27665888 -0.98199462 -0.87497341 0.55728222], Predicted=[0.86519306 0.13480694] X=[-0.18344508 -1.47087572 1.94871055 0.04112856 0.46817572 1.45200427 0.27390732 0.48572954 -1.51184794 -0.52444731 -0.90554379], Predicted=[0.95766397 0.04233603] X=[-1.01304317 -0.18099175 1.37023377 -0.82645801 0.10197156 1.39319943 0.34450598 -0.41041123 -0.71706797 1.05292016 -0.58047134], Predicted=[0.93190796 0.06809204] X=[-0.53898711 0.11667379 1.94871055 -1.06307253 0.6512778 -1.19421382 -0.43207925 -0.54416359 -0.8495313 -0.69971036 -0.82427568], Predicted=[0.98016232 0.01983768] X=[ 0.76466702 -0.47865728 -0.28255704 -1.02363678 -0.7219878 -0.48855566 -1.37339468 -0.70466641 -0.91576296 1.66634084 -0.01159456], Predicted=[0.74808531 0.25191469] X=[-0.18344508 1.30733592 -0.77839428 -0.19548596 -0.4931102 -0.13572658 -0.54974368 -1.31323962 -0.45214131 -0.43681578 1.93342224], Predicted=[0.45906695 0.54093305] X=[ 0.40912499 1.10889223 2.36190825 0.90871513 0.05619604 1.80483335 0.93282812 1.19461701 -0.18721466 0.08897337 -1.47442057], Predicted=[0.96389265 0.03610735] X=[ 0.29061097 1.50577961 -0.28255704 0.04112856 -0.9508654 -1.19421382 -0.00848731 -0.92535779 -0.05475133 -0.26155273 1.69503579], Predicted=[0.5107791 0.4892209] X=[ 0.76466702 0.11667379 2.77510595 0.33689671 -0.40155916 1.04037035 0.65043349 0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863] X=[-0.18344508 0.21589563 1.28759423 -0.31379322 -0.53888572 0.04068796 0.46217041 0.15803627 -0.45214131 -0.34918426 -0.49920323], Predicted=[0.94882134 0.05117866] X=[ 1.12020906 -0.9747665 -0.1999175 1.14532965 0.33084916 0.62873642 0.03857846 1.32836936 -0.8495313 0.35186795 -1.31188435], Predicted=[0.90251229 0.09748771] X=[ 0.527639 0.21589563 -0.94367336 0.00169281 0.46817572 0.51112673 0.69749926 0.22491245 -0.38590965 -1.22549952 -0.33666701], Predicted=[0.92477934 0.07522066] X=[-0.53898711 -1.07398834 -0.53047566 -0.96448315 -0.40155916 -0.90018958 -0.94980274 -0.81166829 1.79973526 -0.61207884 0.394746 ], Predicted=[0.63255105 0.36744895] X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534] X=[ 0.05358295 -0.47865728 0.04800112 -0.47153623 0.05619604 -0.6649702 -0.24381617 0.12459818 0.077712 0.26423642 -0.66173945], Predicted=[0.92564465 0.07435535] X=[ 0.29061097 -0.28021359 1.28759423 -0.668715 -0.7219878 -0.31214112 -0.99686851 -1.24636344 -0.38590965 -0.87497341 1.45123145], Predicted=[0.53195244 0.46804756] X=[ 1.71277913 0.51356116 0.70911744 -1.03349572 -0.58466124 -1.01779928 -0.99686851 -0.97885873 0.077712 -1.48839409 1.53249956], Predicted=[0.6865415 0.3134585] X=[ 0.05358295 -0.9747665 0.37855928 0.02141068 -0.31000812 -0.90018958 -0.66740811 0.09116009 -0.58460464 -0.61207884 -0.01159456], Predicted=[0.86533089 0.13466911] X=[ 0.05358295 0.11667379 -0.86103382 0.43548609 0.46817572 1.21678489 1.80354489 0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=[0.95976279 0.04023721] X=[ 0.29061097 0.41433932 -0.36519658 -0.47153623 -0.35578364 -0.13572658 0.74456503 0.20150579 0.54133365 1.31581474 -0.2553989 ], Predicted=[0.88874943 0.11125057] X=[ 1.00169505 -0.77632281 0.87439652 1.48053356 0.1935226 0.51112673 -0.1967504 1.51227885 -0.51837298 -0.08628968 -0.41793512], Predicted=[0.87436279 0.12563721] X=[ 6.46153012e-01 3.58943834e+00 1.12231514e+00 1.52982825e+00 5.59503395e+00 3.93517038e-01 1.09755832e+00 1.46212172e+00 -1.90923792e+00 1.34184656e-03 -9.86811901e-01], Predicted=[0.99845823 0.00154177] X=[ 0.40912499 -0.77632281 -0.1999175 0.71153637 0.37662468 0.80515096 0.62690061 0.99398848 1.40234528 -0.61207884 -0.49920323], Predicted=[0.83096405 0.16903595] X=[-0.4204731 -0.47865728 0.37855928 -1.0039189 -0.63043676 -0.37094597 -0.62034234 -0.35022267 0.67379698 0.43949948 -0.66173945], Predicted=[0.88555449 0.11444551] X=[ 0.88318104 -0.77632281 -0.28255704 1.53968719 0.46817572 1.04037035 1.74471268 1.66275025 -0.31967798 -0.26155273 -1.31188435], Predicted=[0.91912522 0.08087478] X=[ 1.94980715 -1.07398834 3.35358273 -0.55040774 0.1935226 -0.37094597 -0.24381617 -0.41041123 0.60756531 -0.78734189 1.53249956], Predicted=[0.61294267 0.38705733] X=[ 0.05358295 -0.77632281 0.6264779 -1.04335466 0.6512778 0.04068796 -0.80860543 -0.28669031 -1.31315295 -0.87497341 -1.06808001], Predicted=[0.97357466 0.02642534] X=[-0.89452915 0.01745194 -0.53047566 -0.3335111 -0.7219878 1.21678489 0.03857846 -1.20623774 -0.18721466 -0.61207884 1.61376767], Predicted=[0.42969262 0.57030738] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[ 0.64615301 -0.57787912 -0.03463842 -0.86589377 -0.035355 -0.25333627 -0.87920408 -0.31009697 1.53480861 0.527131 0.71981845], Predicted=[0.67183986 0.32816014] X=[ 1.4757511 0.51356116 0.2132802 0.19887157 -0.40155916 0.04068796 0.41510463 0.63285713 0.01148034 0.43949948 0.06967355], Predicted=[0.86010957 0.13989043] X=[-1.3685852 1.80344514 1.0396756 -0.98420103 -0.2642326 -0.25333627 0.72103215 -0.27665888 -0.38590965 -0.17392121 -1.39315246], Predicted=[0.98953155 0.01046845] X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967] X=[ 2.30534919 -0.77632281 0.79175698 1.6974302 0.33084916 1.45200427 1.07402544 2.26463584 0.60756531 2.63028763 -1.39315246], Predicted=[0.81447335 0.18552665] X=[ 0.88318104 -0.0817699 -0.28255704 0.55379335 -1.27129404 -0.72377504 -0.99686851 -0.07603035 -0.71706797 -1.75128867 0.394746 ], Predicted=[0.66825393 0.33174607] X=[-0.89452915 1.30733592 -2.43118509 -1.0039189 -0.44733468 -0.72377504 -0.40854637 -0.58428929 0.34263866 1.05292016 -0.49920323], Predicted=[0.91092677 0.08907323] X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389] X=[ 0.40912499 -0.18099175 -0.11727796 0.79040787 0.74282884 -0.72377504 -0.57327657 0.86023613 0.27640699 0.00134185 -0.01159456], Predicted=[0.88318152 0.11681848] X=[ 0.05358295 -0.37943543 0.46119882 -1.0039189 0.78860436 -1.01779928 -0.05555308 -0.41041123 0.8062603 -0.08628968 -0.09286267], Predicted=[0.91289472 0.08710528] X=[ 0.40912499 -0.37943543 0.54383836 -0.98420103 -0.035355 -0.25333627 -0.76153965 -0.87854447 -2.04170125 -0.96260494 0.23220977], Predicted=[0.9113899 0.0886101] X=[-0.30195909 -0.0817699 -0.28255704 -0.88561164 -0.9508654 -1.25301866 0.34450598 -0.41041123 0.67379698 1.14055168 -0.01159456], Predicted=[0.82730298 0.17269702] X=[-0.89452915 8.15364317 -1.4395106 -0.39266473 -0.58466124 -1.60584774 -0.690941 -1.15273679 1.07118696 -0.17392121 1.53249956], Predicted=[0.94545129 0.05454871] X=[ 1.12020906 0.21589563 3.35358273 -0.90532952 -0.58466124 -0.13572658 0.41510463 -1.01229682 0.67379698 0.26423642 1.85757201], Predicted=[0.53324933 0.46675067] X=[-0.89452915 -1.27243203 -0.36519658 -0.03774295 0.01042052 0.2171025 0.29744021 0.22825626 2.72697856 -0.43681578 0.06967355], Predicted=[0.68297972 0.31702028] X=[-1.01304317 -0.18099175 0.70911744 -0.23492171 -0.85931436 2.04005274 0.93282812 -0.87854447 1.40234528 -0.78734189 1.45123145], Predicted=[0.37379741 0.62620259] X=[ 2.54237721 2.69644174 -0.28255704 0.33689671 -0.90508988 -1.25301866 -1.58519066 -0.34353506 -1.64431127 -1.13786799 1.04489089], Predicted=[0.77092588 0.22907412] X=[-0.65750113 1.20811407 -0.11727796 0.82984363 0.14774708 0.15829765 1.66234758 1.36180745 1.86596693 0.87765711 -0.9868119 ], Predicted=[0.94958531 0.05041469] X=[-1.25007119 0.01745194 -0.28255704 -0.49125411 -0.90508988 0.04068796 -0.78507254 -1.47039863 0.47510198 0.79002558 1.81693795], Predicted=[0.28208425 0.71791575] X=[ 0.17209696 0.01745194 -0.03463842 1.61855869 -0.12690604 0.68754127 0.69749926 1.7965026 1.0049553 1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183] X=[-0.53898711 0.41433932 -0.6131152 0.29746096 0.1935226 1.04037035 0.97989389 0.37204004 -0.31967798 0.08897337 -0.74300757], Predicted=[0.92530745 0.07469255] X=[ 1.12020906 -0.18099175 3.35358273 0.21858945 -0.08113052 1.39319943 0.50923618 0.6596076 0.21017533 1.31581474 -0.41793512], Predicted=[0.85835463 0.14164537] X=[-0.89452915 0.41433932 -0.44783612 0.04112856 -1.13396748 -0.37094597 -0.14968462 -0.71804165 -0.25344632 -1.13786799 0.7604525 ], Predicted=[0.68381752 0.31618248] X=[ 0.88318104 -0.47865728 -0.6131152 1.75658383 0.97170644 -0.19453143 0.65043349 1.52899789 -1.04822629 -0.43681578 -1.06808001], Predicted=[0.93304932 0.06695068] X=[-0.06493106 -0.28021359 -0.77839428 -0.36308791 0.33084916 0.33471219 1.70941335 0.49241715 1.20365029 1.57870931 -0.82427568], Predicted=[0.90741543 0.09258457] X=[-0.30195909 -0.47865728 -0.11727796 -0.9250474 -0.99664092 -0.5473605 -0.8556712 -1.06579776 0.67379698 0.96528863 1.04489089], Predicted=[0.47517808 0.52482192] X=[-1.48709922 -1.17321019 -0.53047566 -0.98420103 -0.08113052 1.04037035 0.69749926 -0.74479212 0.60756531 -1.05023647 -0.33666701], Predicted=[0.85222667 0.14777333] X=[-0.77601514 0.66239393 -0.53047566 0.73125424 0.46817572 0.15829765 1.14462409 0.27841339 0.8062603 0.61476253 0.06967355], Predicted=[0.80295988 0.19704012] X=[-1.01304317 -0.18099175 0.04800112 -1.0039189 0.01042052 -1.72345743 -2.57357186 -0.54416359 0.67379698 1.22818321 -0.09286267], Predicted=[0.87950816 0.12049184] X=[ 1.35723709 -1.17321019 0.2132802 -0.96448315 -0.58466124 -1.25301866 -0.38501348 0.02428392 0.077712 -0.87497341 -0.17413078], Predicted=[0.90044098 0.09955902] X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983] X=[-0.53898711 0.11667379 -0.44783612 0.92843301 0.78860436 1.80483335 0.72103215 1.09430274 -1.97546959 0.70239405 -1.23061624], Predicted=[0.97160029 0.02839971] X=[ 1.00169505 0.01745194 -0.03463842 0.06084644 -0.40155916 -0.19453143 0.39157175 0.3586648 1.33611362 1.14055168 0.15094166], Predicted=[0.68865619 0.31134381] X=[-0.65750113 -0.0817699 1.0396756 1.05659921 -0.40155916 1.51080912 1.73294624 1.02742657 0.40887032 0.35186795 -0.82427568], Predicted=[0.88459455 0.11540545] X=[ 0.17209696 -0.77632281 -0.03463842 -0.3335111 -0.7219878 -0.60616535 -1.46752623 -0.67122832 -2.04170125 0.43949948 -0.01159456], Predicted=[0.77432808 0.22567192] X=[-0.18344508 -0.47865728 0.70911744 0.94815089 0.05619604 0.9815655 0.76809792 1.18792939 2.32958858 2.19213 -0.09286267], Predicted=[0.66374123 0.33625877] X=[ 0.05358295 1.00967039 -0.69575474 0.67210061 -0.2642326 -0.42975081 1.23875564 1.02742657 0.60756531 1.05292016 -1.06808001], Predicted=[0.93521869 0.06478131] X=[ 0.527639 -0.18099175 -0.1999175 -0.94476527 -0.2642326 0.2171025 0.81516369 -0.74479212 0.01148034 0.1766049 0.71981845], Predicted=[0.73890991 0.26109009] X=[ 0.05358295 -0.37943543 -0.03463842 -0.9250474 -0.4931102 0.68754127 -0.05555308 -1.34667771 0.47510198 -0.78734189 1.69503579], Predicted=[0.41788914 0.58211086] X=[-0.4204731 -1.17321019 0.04800112 -0.98420103 -0.76776332 -0.37094597 -0.12615174 -0.98554635 0.93872363 1.31581474 0.80108656], Predicted=[0.46965726 0.53034274] X=[-0.65750113 -0.37943543 -0.36519658 1.4410978 -0.4931102 1.04037035 -0.10261885 0.5492619 -0.12098299 -0.96260494 0.06967355], Predicted=[0.66800871 0.33199129] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[-0.65750113 -0.37943543 -0.36519658 1.4410978 -0.4931102 1.04037035 -0.10261885 0.5492619 -0.12098299 -0.96260494 0.06967355], Predicted=[0.66800871 0.33199129] X=[-0.89452915 -0.37943543 -0.6131152 -0.9250474 -0.58466124 1.51080912 -0.10261885 -1.24636344 0.01148034 2.80555068 1.126159 ], Predicted=[0.36704755 0.63295245] X=[-0.65750113 0.21589563 -0.36519658 -0.84617589 0.10197156 -0.13572658 0.08564423 -1.4938053 0.21017533 -0.26155273 1.93884012], Predicted=[0.52192457 0.47807543] X=[-0.77601514 -0.37943543 -0.69575474 1.20448328 0.4224002 0.68754127 -0.10261885 1.18792939 0.74002864 0.1766049 -1.23061624], Predicted=[0.89782593 0.10217407] X=[-0.30195909 -0.67710097 -0.1999175 0.98758664 -0.31000812 0.62873642 0.62690061 1.31165032 1.46857694 -0.43681578 -0.58047134], Predicted=[0.8581092 0.1418908] X=[ 0.17209696 -0.67710097 -0.1999175 -0.0771787 0.01042052 -0.37094597 -0.71447388 -0.04259226 0.47510198 0.08897337 0.23220977], Predicted=[0.74478328 0.25521672] X=[-1.48709922 -0.67710097 0.54383836 -1.0039189 -0.21845708 2.68690605 0.20330866 -1.31323962 0.21017533 4.03239204 0.88235467], Predicted=[0.33770878 0.66229122] X=[-0.06493106 -0.87554465 0.04800112 -0.88561164 -0.2642326 0.33471219 -0.71447388 -1.34667771 0.40887032 -0.34918426 1.93884012], Predicted=[0.35688819 0.64311181] X=[-0.30195909 0.06706287 1.28759423 0.98758664 -0.4931102 1.27558973 -0.0320202 1.10099036 -0.71706797 0.43949948 -1.31188435], Predicted=[0.93724455 0.06275545] X=[-0.89452915 0.01745194 -0.53047566 0.31717883 0.10197156 0.33471219 0.55630195 0.31853909 0.14394366 0.1766049 -0.49920323], Predicted=[0.89660124 0.10339876] X=[-0.89452915 3.98632571 1.53551285 -0.98420103 -0.40155916 -0.19453143 -0.3614806 -1.27311391 0.34263866 -0.34918426 1.20742712], Predicted=[0.91757046 0.08242954] X=[-0.06493106 0.41433932 0.46119882 0.63266486 -0.90508988 -0.07692173 -0.33794771 -0.39034838 -0.05475133 -1.22549952 1.28869523], Predicted=[0.52182595 0.47817405] X=[-0.06493106 0.61278301 0.87439652 0.04112856 0.28507364 -0.42975081 0.41510463 0.49241715 -0.31967798 -0.69971036 -0.74300757], Predicted=[0.97191857 0.02808143] X=[ 0.29061097 -0.28021359 -0.28255704 -0.78702226 -0.17268156 -0.60616535 -0.38501348 -0.00915417 1.60104027 1.05292016 -0.01159456], Predicted=[0.81228804 0.18771196] X=[-0.4204731 -0.18099175 1.37023377 0.31717883 0.23929812 0.62873642 1.37995295 0.44560383 -0.05475133 -0.17392121 -0.82427568], Predicted=[0.93466417 0.06533583] X=[-0.4204731 0.31511748 2.27926871 1.30307267 0.33084916 -0.25333627 -0.3614806 1.02073895 -0.6508363 0.08897337 -0.9868119 ], Predicted=[0.94995081 0.05004919] X=[ 0.40912499 -0.67710097 0.2132802 1.83545534 -0.035355 1.92244304 1.05049255 1.73631404 0.40887032 2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376] X=[ 1.12020906 -1.17321019 0.6264779 -0.9250474 -0.90508988 -0.37094597 0.03857846 -1.01229682 -1.11445795 2.5426561 1.61376767], Predicted=[0.37925051 0.62074949] X=[-0.30195909 0.01745194 0.6264779 0.12000007 0.01042052 1.39319943 1.30935429 0.51916762 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.94549963 0.05450037] X=[ 1.71277913 1.20811407 0.37855928 -1.04335466 -0.35578364 -1.19421382 -1.49105911 -0.2097827 -1.04822629 -0.52444731 -1.06808001], Predicted=[0.96969207 0.03030793] X=[ 0.64615301 0.41433932 1.78343147 2.01291623 0.46817572 1.04037035 2.34480127 2.56557863 -1.51184794 0.79002558 -1.47442057], Predicted=[0.98773635 0.01226365] X=[-1.48709922 -0.9747665 -0.36519658 -0.80674014 -0.2642326 -1.78226228 -2.14997991 -0.92535779 -0.78329963 -0.34918426 -0.33666701], Predicted=[0.88483406 0.11516594] X=[-0.89452915 0.11667379 -0.53047566 -0.9250474 -0.99664092 -1.31182351 -1.46752623 -1.58074433 0.14394366 0.1766049 1.69503579], Predicted=[0.453448 0.546552] X=[ 0.88318104 -0.87554465 0.29591974 1.32279054 -0.58466124 0.9815655 0.29744021 1.08092751 -0.05475133 2.63028763 -0.09286267], Predicted=[0.52799919 0.47200081] X=[-0.89452915 -0.67710097 -1.19159198 -0.98420103 0.01042052 0.92276066 -0.17321751 -0.73141688 0.21017533 -0.87497341 -0.01159456], Predicted=[0.84062412 0.15937588] X=[-1.84264125 0.21589563 -1.4395106 -0.43210048 -0.76776332 0.09949281 -0.90273697 -1.17948726 0.74002864 -1.13786799 1.04489089], Predicted=[0.56626187 0.43373813] X=[ 3.49048932 0.8112267 0.95703606 -0.94476527 -0.17268156 -1.4294332 -0.33794771 0.12459818 -1.71054293 -0.26155273 0.23220977], Predicted=[0.95432058 0.04567942] X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073] X=[-0.53898711 0.8112267 -1.10895244 -0.13633233 3.30625795 1.51080912 0.79163081 0.19147436 0.34263866 -0.52444731 -0.82427568], Predicted=[0.976972 0.023028] X=[-0.53898711 -0.57787912 1.28759423 0.21858945 0.37662468 0.39351704 0.29744021 0.25835054 0.54133365 0.26423642 -0.33666701], Predicted=[0.86353539 0.13646461] X=[ 0.40912499 -0.57787912 0.13064066 -0.17576808 0.37662468 0.09949281 1.05049255 0.23828768 -0.71706797 0.08897337 -0.17413078], Predicted=[0.9202361 0.0797639] X=[ 0.64615301 1.30733592 0.04800112 -0.3335111 -0.17268156 -0.95899443 -0.26734905 0.42554098 0.40887032 -0.61207884 -0.09286267], Predicted=[0.95781367 0.04218633] X=[-0.53898711 -1.27243203 0.54383836 -1.0039189 0.33084916 1.51080912 0.17977578 -0.97217112 -0.12098299 1.66634084 0.394746 ], Predicted=[0.63626354 0.36373646] X=[-0.77601514 1.60500145 -1.27423152 0.2580252 2.29919651 -0.42975081 1.68588046 1.23139891 2.4620519 2.01686694 -1.06808001], Predicted=[0.97943496 0.02056504] X=[-1.01304317 -1.37165388 0.29591974 -1.02363678 -0.63043676 1.62841881 0.22684155 -0.72807307 0.87249197 -0.43681578 0.55728222], Predicted=[0.67656713 0.32343287] X=[ 0.40912499 -0.87554465 -0.53047566 0.94815089 0.69705332 0.62873642 0.25037443 1.23474272 -1.31315295 0.87765711 -0.9868119 ], Predicted=[0.93691215 0.06308785] X=[-0.18344508 -0.47865728 0.46119882 -0.76730438 5.77813603 1.62841881 0.46217041 -0.10946844 -0.51837298 -1.13786799 -0.90554379], Predicted=[0.99314013 0.00685987] X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=[0.81297813 0.18702187] X=[ 0.05358295 0.91044854 -0.86103382 0.61294698 0.51395124 1.09917519 0.65043349 0.55260571 0.27640699 -0.61207884 -0.41793512], Predicted=[0.90145948 0.09854052] X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.32097309 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=[0.95206677 0.04793323] X=[-0.77601514 3.78788202 1.20495468 -1.02363678 -0.76776332 -0.37094597 -1.49105911 -1.61418241 0.93872363 -0.87497341 1.85757201], Predicted=[0.77395987 0.22604013] X=[-0.06493106 1.10889223 0.13064066 1.02702239 -0.08113052 1.27558973 1.92120932 1.24477414 -0.78329963 0.35186795 -0.9868119 ], Predicted=[0.96389438 0.03610562] X=[ 0.29061097 -0.57787912 -0.03463842 -0.70815075 -0.58466124 0.74634612 0.34450598 -1.3801158 -0.25344632 -0.96260494 1.7763039 ], Predicted=[0.37752334 0.62247666] X=[ 0.29061097 -0.47865728 0.13064066 1.99319835 -0.2642326 1.45200427 0.76809792 1.66275025 -0.18721466 0.87765711 -1.14934812], Predicted=[0.81178702 0.18821298] X=[-0.77601514 0.61278301 -0.36519658 0.23830733 0.05619604 0.56993158 2.20360395 0.49241715 1.07118696 1.14055168 -0.41793512], Predicted=[0.89368589 0.10631411] X=[ 0.64615301 0.71200485 -0.1999175 2.27910756 0.74282884 0.39351704 1.14462409 2.06400731 0.54133365 1.31581474 -1.14934812], Predicted=[0.89768467 0.10231533] X=[-0.4204731 -0.9747665 -0.36519658 -0.9250474 -0.4931102 0.2171025 0.13271 -0.44384932 1.99843026 0.08897337 -0.01159456], Predicted=[0.68936546 0.31063454] X=[-1.13155718 0.11667379 -0.69575474 1.1058939 0.51395124 0.74634612 2.01534087 1.36180745 0.27640699 -0.69971036 -1.23061624], Predicted=[0.9703731 0.0296269] X=[-0.30195909 0.41433932 -0.53047566 0.88899726 -0.21845708 0.09949281 0.17977578 0.75992186 0.34263866 -0.17392121 -0.41793512], Predicted=[0.8734856 0.1265144] X=[-6.57501128e-01 -6.77100966e-01 5.43838363e-01 -9.25047396e-01 -6.76212279e-01 7.46346116e-01 -1.02618853e-01 -7.78230204e-01 1.53480861e+00 1.34184656e-03 8.01086557e-01], Predicted=[0.58631697 0.41368303] X=[-1.13155718 0.11667379 -0.03463842 0.19887157 -0.40155916 1.33439458 1.56821604 0.30850767 0.47510198 -0.69971036 -0.74300757], Predicted=[0.91277419 0.08722581] X=[-1.60561323 0.11667379 -0.28255704 -1.04335466 -1.08819196 -0.90018958 -0.66740811 -1.78471666 1.0049553 -0.96260494 1.85757201], Predicted=[0.43690524 0.56309476] X=[-1.48709922 0.71200485 0.54383836 -0.01802507 -1.08819196 -0.72377504 0.83869658 -0.61103976 2.32958858 0.08897337 0.88235467], Predicted=[0.54024554 0.45975446] X=[ 0.88318104 2.00188883 -0.44783612 0.79040787 0.14774708 1.27558973 1.56821604 1.1544913 0.34263866 -0.34918426 -0.9868119 ], Predicted=[0.95656367 0.04343633] X=[ 0.17209696 -0.77632281 -0.28255704 -0.05746082 -0.40155916 -0.25333627 -0.43207925 -0.04259226 0.34263866 0.1766049 0.23220977], Predicted=[0.70887656 0.29112344] X=[-1.13155718 0.41433932 -1.19159198 1.59884082 -0.17268156 0.09949281 -0.54974368 0.94048754 -0.18721466 -0.52444731 -0.17413078], Predicted=[0.85355147 0.14644853] X=[ 0.40912499 -1.07398834 -0.44783612 2.20023605 0.1935226 -0.13572658 0.36803886 1.90016067 -1.64431127 -0.52444731 -1.23061624], Predicted=[0.93439907 0.06560093] X=[ 0.527639 0.31511748 -0.69575474 0.0509875 -0.63043676 -0.31214112 -0.00848731 -0.53078835 -1.90923792 -1.05023647 0.47601411], Predicted=[0.80341766 0.19658234] X=[-0.06493106 0.61278301 2.94038503 -1.0039189 0.55972676 -1.37062835 0.76809792 -0.31009697 -0.8495313 -0.17392121 -0.66173945], Predicted=[0.98551525 0.01448475] X=[-1.3685852 -0.0817699 -1.4395106 0.5143576 0.33084916 -0.19453143 -0.64387523 0.23828768 1.13741862 -1.05023647 -0.09286267], Predicted=[0.83772597 0.16227403] X=[ 0.76466702 -0.18099175 -0.6131152 2.35797907 1.74989028 -0.13572658 0.01504558 2.3649501 -0.12098299 -0.87497341 -1.39315246], Predicted=[0.96658364 0.03341636] X=[ 0.29061097 -0.9747665 -0.11727796 1.14532965 0.10197156 0.04068796 -0.31441482 0.89367421 -1.77677459 0.43949948 -0.90554379], Predicted=[0.89368372 0.10631628] X=[-0.30195909 1.00967039 -0.44783612 -0.70815075 -0.12690604 -1.07660412 -1.6793222 -1.60080718 0.14394366 -0.17392121 2.18264446], Predicted=[0.45058578 0.54941422] X=[-0.4204731 -0.77632281 1.37023377 2.30868438 0.37662468 0.86395581 1.94474221 1.79984641 -1.64431127 1.31581474 -1.39315246], Predicted=[0.93227403 0.06772597] X=[ 0.527639 -0.77632281 0.87439652 -0.98420103 -0.035355 -0.84138474 -0.94980274 -0.54416359 -0.25344632 -0.26155273 -0.41793512], Predicted=[0.88713909 0.11286091] X=[-0.06493106 -0.28021359 0.04800112 1.50025143 -0.63043676 0.68754127 -0.12615174 0.39210289 1.20365029 0.08897337 1.36996334], Predicted=[0.26221132 0.73778868] X=[ 1.00169505 2.10111067 5.50221078 2.60445253 -0.7219878 -0.42975081 -0.07908597 1.09430274 0.34263866 -0.78734189 1.20742712], Predicted=[0.66095239 0.33904761] X=[ 0.40912499 0.31511748 -0.6131152 0.1791537 0.1935226 0.09949281 0.43863752 0.74320282 -0.6508363 -0.52444731 -1.23061624], Predicted=[0.96866771 0.03133229] X=[ 0.76466702 -0.0817699 -0.1999175 -0.11661445 0.51395124 5.62714837 4.1097677 0.19147436 -0.05475133 0.87765711 -0.01159456], Predicted=[0.73506124 0.26493876] X=[ 0.05358295 0.91044854 -0.86103382 0.61294698 0.51395124 1.09917519 0.65043349 0.55260571 0.27640699 -0.61207884 -0.41793512], Predicted=[0.90145948 0.09854052] X=[-0.06493106 -0.87554465 -0.11727796 0.23830733 0.14774708 0.09949281 -0.73800677 -0.23653317 -0.45214131 -0.43681578 0.15094166], Predicted=[0.71646484 0.28353516] X=[ 0.17209696 0.01745194 -0.6131152 -0.9250474 -0.17268156 -0.07692173 -0.1967504 -0.5107255 1.60104027 0.08897337 0.15094166], Predicted=[0.74727766 0.25272234] X=[ 0.40912499 -0.47865728 -0.69575474 2.44670951 1.7956658 -0.95899443 -0.64387523 2.14425872 -0.58460464 0.1766049 -1.47442057], Predicted=[0.95364973 0.04635027] X=[-0.06493106 0.41433932 0.79175698 -0.94476527 0.1935226 -1.84106713 -1.72638797 -0.18971985 0.54133365 -0.17392121 0.15094166], Predicted=[0.94663279 0.05336721] X=[ 1.83129314 -0.77632281 -0.1999175 -0.70815075 0.37662468 -1.13540897 -1.16159871 0.04434677 -1.51184794 -0.34918426 -0.82427568], Predicted=[0.94746612 0.05253388] X=[-0.77601514 -1.57009756 0.04800112 -0.96448315 -0.035355 0.45232188 -0.50267791 -0.04259226 1.53480861 0.1766049 -1.23061624], Predicted=[0.89022404 0.10977596] X=[-1.25007119 0.01745194 0.13064066 -0.80674014 0.33084916 0.04068796 -0.57327657 -0.54416359 0.60756531 0.08897337 -0.2553989 ], Predicted=[0.90208566 0.09791434] X=[ 0.88318104 -1.47087572 0.04800112 0.57351123 0.74282884 0.27590734 -0.29088194 0.86023613 0.14394366 -0.87497341 -0.74300757], Predicted=[0.87963532 0.12036468] X=[-1.25007119 1.35694684 -1.68742922 -0.98420103 -0.2642326 -1.4294332 -1.74992086 -0.61103976 0.67379698 0.26423642 -0.01159456], Predicted=[0.92198949 0.07801051] X=[ 2.06832116 2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443 -0.87920408 -0.74479212 -1.18068962 -0.96260494 1.53249956], Predicted=[0.74466284 0.25533716] X=[ 1.59426511e+00 -1.80991745e-01 -3.46384190e-02 -7.47586507e-01 3.30849159e-01 -1.42943320e+00 -1.58519066e+00 -2.46655397e-03 -1.97546959e+00 1.34184656e-03 -8.24275678e-01], Predicted=[0.96561749 0.03438251] X=[-0.18344508 2.29955436 -0.77839428 -0.84617589 -0.12690604 -1.25301866 0.39157175 -1.21292535 0.21017533 0.96528863 2.02010823], Predicted=[0.71684549 0.28315451] X=[ 0.05358295 0.01745194 -0.1999175 0.15943582 -0.2642326 0.68754127 0.69749926 0.19147436 0.67379698 0.70239405 0.06967355], Predicted=[0.74827046 0.25172954] X=[-0.4204731 -0.57787912 -0.1999175 -0.49125411 0.01042052 -1.07660412 -0.76153965 -1.01898444 -0.25344632 -1.57602562 0.80108656], Predicted=[0.73195494 0.26804506] X=[-0.4204731 0.8112267 0.2132802 0.06084644 6.37321778 0.95216308 0.29744021 0.41885336 -0.12098299 -0.61207884 -0.9868119 ], Predicted=[0.99541866 0.00458134] X=[-0.06493106 -0.28021359 0.04800112 -0.3335111 -0.67621228 -0.07692173 -0.10261885 -0.44384932 0.14394366 -0.96260494 0.06967355], Predicted=[0.77892582 0.22107418] X=[ 0.29061097 -0.9747665 -0.11727796 1.14532965 0.10197156 0.04068796 -0.31441482 0.89367421 -1.77677459 0.43949948 -0.90554379], Predicted=[0.89368372 0.10631628] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[ 0.05358295 0.21589563 -0.28255704 0.81998469 -0.40155916 -1.84106713 -2.59710474 -0.73141688 -0.78329963 -1.48839409 1.7763039 ], Predicted=[0.41773644 0.58226356] X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388] X=[ 0.64615301 -1.17321019 -0.03463842 -1.02363678 -0.17268156 0.68754127 -0.40854637 -0.68460356 -0.98199462 1.66634084 -0.01159456], Predicted=[0.72985015 0.27014985] X=[-0.06493106 3.49021649 -2.43118509 -1.0039189 0.55972676 -0.60616535 -0.12615174 -0.44050551 -0.12098299 -0.87497341 -0.2553989 ], Predicted=[0.98229962 0.01770038] X=[-0.30195909 -0.77632281 -0.11727796 -1.04335466 -0.31000812 -0.60616535 -1.42046046 -0.47728741 1.33611362 0.43949948 -0.2553989 ], Predicted=[0.79289639 0.20710361] X=[-1.13155718 0.41433932 0.46119882 -0.60956137 3.12315587 -0.6649702 0.03857846 -0.2097827 -0.6508363 -0.34918426 -1.06808001], Predicted=[0.99132066 0.00867934] X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155] X=[-0.4204731 -0.47865728 0.2132802 1.9537626 -0.35578364 0.45232188 -0.12615174 1.74300166 0.47510198 -0.69971036 -1.39315246], Predicted=[0.89911216 0.10088784] X=[ 1.4757511 -0.0817699 0.13064066 -0.9250474 -0.7219878 0.15829765 -0.83213831 -0.49400645 0.21017533 1.22818321 -0.09286267], Predicted=[0.68708264 0.31291736] X=[-0.30195909 -0.37943543 -0.03463842 0.73125424 -0.63043676 -1.60584774 -1.3498618 0.74654663 0.01148034 0.1766049 -0.58047134], Predicted=[0.88394221 0.11605779] X=[ 2.54237721 -1.07398834 1.28759423 -1.06307253 -0.31000812 0.62873642 -0.17321751 -0.34353506 -0.6508363 0.1766049 -0.01159456], Predicted=[0.77389762 0.22610238] X=[ 1.00169505 -0.37943543 -0.28255704 -0.98420103 -0.21845708 -1.19421382 -0.8556712 -0.37697314 0.47510198 0.35186795 -0.09286267], Predicted=[0.8296689 0.1703311] X=[ 0.29061097 -1.07398834 -0.1999175 -0.94476527 -0.40155916 -1.19421382 -0.83213831 -1.01229682 -0.31967798 0.08897337 1.20742712], Predicted=[0.6119564 0.3880436] X=[-1.25007119 -1.07398834 -0.28255704 -0.98420103 -0.40155916 1.15798004 -0.1967504 -1.04573491 0.67379698 -0.96260494 0.63855033], Predicted=[0.66073319 0.33926681] X=[ 0.64615301 -0.57787912 -0.53047566 -0.94476527 0.51395124 0.56993158 -0.94980274 -0.34687886 0.67379698 -0.43681578 -0.49920323], Predicted=[0.85532656 0.14467344] X=[ 1.23872307 -0.77632281 0.04800112 -1.02363678 -0.2642326 -0.37094597 -0.47914502 -0.27665888 -0.31967798 -0.69971036 0.06967355], Predicted=[0.87839183 0.12160817] X=[ 0.76466702 0.26550655 0.37855928 -0.98420103 0.05619604 -0.31214112 -1.0204014 -0.81835591 0.21017533 0.26423642 0.80108656], Predicted=[0.74306224 0.25693776] X=[ 1.35723709 -0.87554465 0.2132802 -0.90532952 0.1935226 -1.13540897 -1.27926314 -0.14290653 -0.25344632 -0.34918426 -0.58047134], Predicted=[0.91159263 0.08840737] X=[ 0.40912499 -1.07398834 0.29591974 0.10028219 0.60550228 0.68754127 -0.24381617 -0.26997126 -0.71706797 -0.26155273 0.394746 ], Predicted=[0.71220617 0.28779383] X=[ 0.88318104 2.00188883 -0.1999175 0.59322911 0.01042052 -1.72345743 1.30935429 1.0408018 -0.78329963 1.05292016 -0.90554379], Predicted=[0.97827504 0.02172496] X=[-0.06493106 0.31511748 -1.19159198 -0.57012562 1.84144132 -0.31214112 -0.1967504 -0.34353506 -2.37285957 -0.43681578 -0.74300757], Predicted=[0.98138261 0.01861739] X=[-1.13155718 -0.37943543 -1.77006876 -0.98420103 -0.4931102 1.45200427 2.55659724 -0.14959414 1.0049553 -0.43681578 -0.74300757], Predicted=[0.91948104 0.08051896] X=[-0.4204731 0.11667379 1.53551285 0.29746096 0.14774708 -0.01811689 1.26228852 0.49576096 -0.18721466 0.1766049 -0.82427568], Predicted=[0.95029035 0.04970965] X=[ 1.35723709 -0.47865728 0.6264779 -1.04335466 0.10197156 -0.01811689 0.27390732 -0.78491782 -0.6508363 -0.17392121 0.55728222], Predicted=[0.78996137 0.21003863] X=[-1.25007119 0.01745194 2.69246641 0.53407548 -0.31000812 -0.5473605 0.48570329 0.82679804 3.12436854 0.527131 0.23220977], Predicted=[0.82579556 0.17420444] X=[-0.89452915 0.01745194 -0.69575474 1.28335479 0.37662468 -0.07692173 1.19168986 1.29493128 0.40887032 -0.52444731 -1.23061624], Predicted=[0.95181825 0.04818175] X=[-0.53898711 0.31511748 0.54383836 -0.03774295 -0.2642326 0.62873642 0.72103215 0.42554098 -0.25344632 -0.26155273 -0.9868119 ], Predicted=[0.95886363 0.04113637] X=[-0.65750113 0.01745194 1.12231514 0.94815089 -0.2642326 1.51080912 1.05049255 0.63285713 -0.45214131 0.1766049 -0.82427568], Predicted=[0.88376689 0.11623311] X=[-1.48709922 -0.9747665 -0.1999175 -0.96448315 -0.35578364 -1.13540897 -1.27926314 -0.54416359 1.0049553 0.79002558 -0.33666701], Predicted=[0.84453528 0.15546472] X=[ 0.88318104 -1.07398834 0.13064066 -0.94476527 0.05619604 0.45232188 0.36803886 -0.2097827 1.13741862 1.75397237 0.47601411], Predicted=[0.65843229 0.34156771] X=[-2.19818329 -1.07398834 1.86607101 -0.96448315 -0.90508988 -0.6649702 -0.54974368 -1.14604918 1.93219859 -0.87497341 0.23220977], Predicted=[0.69493074 0.30506926] X=[ 1.00169505 0.01745194 -0.03463842 0.06084644 -0.40155916 -0.19453143 0.39157175 0.3586648 1.33611362 1.14055168 0.15094166], Predicted=[0.68865619 0.31134381] X=[ 0.17209696 -0.37943543 0.13064066 -0.96448315 0.28507364 0.92276066 -0.24381617 0.02428392 1.46857694 0.87765711 -0.09286267], Predicted=[0.85810877 0.14189123] X=[-0.30195909 0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597 -0.92626985 -1.24301963 -0.58460464 -0.78734189 1.45123145], Predicted=[0.6321021 0.3678979] X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635] X=[ 1.35723709 0.21589563 0.2132802 0.90871513 -0.53888572 -1.60584774 -1.60872354 -0.16296938 -0.91576296 -0.69971036 1.36996334], Predicted=[0.49483961 0.50516039] X=[-1.25007119 -0.77632281 -1.4395106 -0.98420103 -0.17268156 0.51112673 -0.92626985 -1.64093288 0.27640699 -1.05023647 1.36996334], Predicted=[0.45456406 0.54543594] X=[-1.3685852 4.13515848 -2.26590601 0.08056431 -0.17268156 -1.54704289 -1.27926314 0.09784771 1.66727194 -0.43681578 -0.2553989 ], Predicted=[0.96176402 0.03823598] X=[ 0.88318104 0.51356116 0.13064066 -0.01802507 -0.44733468 -1.37062835 -0.29088194 -0.54416359 -0.18721466 -0.87497341 1.20742712], Predicted=[0.6681629 0.3318371] X=[-0.06493106 -0.67710097 1.28759423 1.59884082 0.6512778 0.86395581 0.74456503 1.69618834 2.39582024 -0.43681578 -0.58047134], Predicted=[0.83414779 0.16585221] X=[-0.06493106 -0.18099175 -0.36519658 2.08192879 0.46817572 0.74634612 0.95636101 1.93025495 1.7335036 -0.78734189 -0.74300757], Predicted=[0.85639707 0.14360293] X=[-0.65750113 -0.57787912 -0.28255704 -0.86589377 0.1935226 -0.72377504 -0.43207925 -0.6645407 0.34263866 -0.17392121 -0.09286267], Predicted=[0.86176233 0.13823767] X=[ 0.05358295 -0.57787912 0.29591974 1.6974302 0.33084916 1.39319943 0.93282812 1.72962642 1.20365029 2.8931822 -0.82427568], Predicted=[0.73464935 0.26535065] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[ 1.59426511 -0.67710097 1.20495468 -0.98420103 -0.21845708 -1.4294332 -0.92626985 0.59273142 -0.12098299 0.70239405 -0.49920323], Predicted=[0.96268543 0.03731457] X=[-0.30195909 1.10889223 0.37855928 0.65238274 0.33084916 0.80515096 2.06240664 1.28489985 0.74002864 0.70239405 -0.90554379], Predicted=[0.96751929 0.03248071] X=[-0.65750113 0.91044854 0.29591974 -0.96448315 -0.99664092 -1.37062835 -1.46752623 -1.76131 -1.64431127 -0.87497341 1.45123145], Predicted=[0.73769062 0.26230938] X=[-0.77601514 -0.77632281 -0.11727796 -0.70815075 0.1935226 -1.07660412 -0.29088194 -0.14290653 -0.05475133 0.527131 -0.90554379], Predicted=[0.94211448 0.05788552] X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01 2.17065924e+00 8.34379878e-01 -3.70945966e-01 3.85784619e-02 1.24811795e+00 7.77119994e-02 1.34184656e-03 -3.36667007e-01], Predicted=[0.79630651 0.20369349] X=[-0.65750113 -0.0817699 1.28759423 -1.02363678 0.78860436 -0.01811689 -1.09100005 -0.97885873 1.26988195 -0.61207884 1.36996334], Predicted=[0.75478253 0.24521747] X=[ 0.88318104 -0.47865728 2.52718733 1.28335479 -0.58466124 1.09917519 0.74456503 1.32836936 -1.24692128 0.35186795 -1.39315246], Predicted=[0.92455278 0.07544722] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[-0.53898711 -1.37165388 -0.1999175 -1.02363678 -0.53888572 1.04037035 -0.00848731 -1.06579776 1.26988195 -1.22549952 0.80108656], Predicted=[0.51029488 0.48970512] X=[-1.01304317 1.30733592 -2.34854555 -0.96448315 0.78860436 -1.07660412 -0.43207925 -0.27665888 0.14394366 0.61476253 -1.06808001], Predicted=[0.97575356 0.02424644] X=[-1.13155718 1.80344514 -1.60478968 -0.72786863 -0.17268156 -0.48855566 0.50923618 -0.31009697 1.79973526 0.1766049 0.06967355], Predicted=[0.90755428 0.09244572] X=[ 2.18683518 0.31511748 3.27094319 1.569264 -0.08113052 -0.48855566 1.23875564 2.04060065 -1.51184794 3.41897136 -1.47442057], Predicted=[0.95477416 0.04522584] X=[-1.01304317 0.01745194 -0.53047566 1.79601958 -0.44733468 -0.25333627 -0.10261885 0.0175963 0.01148034 -0.43681578 2.02010823], Predicted=[0.28876669 0.71123331] X=[ 0.64615301 -0.9747665 -0.1999175 -0.98420103 0.55972676 0.15829765 0.67396638 -0.31009697 -0.18721466 0.35186795 -0.41793512], Predicted=[0.89435675 0.10564325] X=[ 0.05358295 0.11667379 -0.86103382 0.43548609 0.46817572 1.21678489 1.80354489 0.89367421 -0.12098299 -0.43681578 -1.39315246], Predicted=[0.95976279 0.04023721] X=[-0.77601514 2.69644174 0.95703606 1.1058939 0.14774708 -0.48855566 1.12109121 1.12774083 -0.12098299 0.08897337 -0.9868119 ], Predicted=[0.98414094 0.01585906] X=[-1.96115527 -1.22282111 -0.03463842 -0.94476527 -0.81353884 -1.31182351 -1.86758528 -1.43027293 0.74002864 3.06844526 1.126159 ], Predicted=[0.32792634 0.67207366] X=[ 1.71277913 -0.47865728 -0.28255704 -0.84617589 0.14774708 -0.84138474 0.34450598 0.42554098 -0.6508363 0.08897337 -0.74300757], Predicted=[0.96325595 0.03674405] X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389] X=[ 0.17209696 0.01745194 -0.03463842 1.61855869 -0.12690604 0.68754127 0.69749926 1.7965026 1.0049553 1.57870931 -1.39315246], Predicted=[0.87358817 0.12641183] X=[-0.06493106 0.31511748 -2.01798739 -0.98420103 -0.2642326 1.21678489 0.15624289 -0.61103976 0.01148034 -0.26155273 -0.41793512], Predicted=[0.85537638 0.14462362] X=[-0.89452915 -1.17321019 -0.36519658 -0.0771787 -0.7219878 -0.37094597 0.13271 0.23828768 3.25683187 -0.26155273 0.15094166], Predicted=[0.60130934 0.39869066] X=[ 1.83129314 0.21589563 -0.69575474 2.23967181 0.05619604 -0.60616535 1.87414355 2.05063207 -1.37938461 1.49107779 -1.14934812], Predicted=[0.90809149 0.09190851] X=[ 0.05358295 -0.67710097 2.36190825 -0.01802507 -0.17268156 -1.66465259 -0.690941 -0.14959414 -1.51184794 0.87765711 -0.2553989 ], Predicted=[0.90088964 0.09911036] X=[-0.65750113 -0.57787912 -0.03463842 -0.9250474 -0.21845708 1.8636382 0.60336772 -0.41041123 0.87249197 0.61476253 -0.09286267], Predicted=[0.79298482 0.20701518] X=[-0.4204731 -0.37943543 -0.36519658 0.35661459 -0.12690604 -0.19453143 0.41510463 0.1680677 -0.38590965 1.84160389 -0.33666701], Predicted=[0.79239564 0.20760436] X=[ 2.90610974e-01 4.14339320e-01 -7.78394281e-01 1.32279054e+00 1.93522599e-01 9.81565502e-01 1.54468315e+00 1.32836936e+00 -5.84604641e-01 1.34184656e-03 -1.39315246e+00], Predicted=[0.94279615 0.05720385] X=[ 0.29061097 -0.18099175 -1.19159198 0.35661459 0.23929812 1.04037035 1.14462409 0.6596076 -0.18721466 0.26423642 -0.66173945], Predicted=[0.89694406 0.10305594] X=[ 1.71277913 -0.0817699 0.04800112 0.75097212 0.10197156 0.86395581 -0.47914502 1.04748942 -0.05475133 0.1766049 -0.17413078], Predicted=[0.82609659 0.17390341] X=[ 1.12020906 1.65461237 1.86607101 -1.06307253 -0.2642326 -1.60584774 -1.27926314 -0.07603035 0.40887032 -0.52444731 0.23220977], Predicted=[0.9642726 0.0357274] X=[ 0.527639 -0.57787912 0.6264779 1.77630171 0.1935226 1.15798004 1.23875564 1.99713113 0.87249197 0.87765711 -1.31188435], Predicted=[0.88255732 0.11744268] X=[ 0.17209696 -0.77632281 -0.1999175 0.31717883 0.1935226 -0.37094597 1.75647912 0.64623236 0.60756531 0.70239405 -0.09286267], Predicted=[0.85345009 0.14654991] X=[-1.25007119 -1.57009756 -1.0263129 -1.0039189 0.46817572 -0.01811689 -0.40854637 -1.079173 0.87249197 -1.40076257 0.71981845], Predicted=[0.70276002 0.29723998] X=[-2.07966928 0.31511748 -0.28255704 -1.08279041 -0.40155916 -0.42975081 0.32097309 -0.67791594 2.32958858 0.61476253 -0.33666701], Predicted=[0.85787049 0.14212951] X=[-1.96115527 -0.67710097 -0.1999175 -0.9250474 0.10197156 -1.07660412 -1.82051951 -1.50383672 0.34263866 -1.05023647 1.20742712], Predicted=[0.68284409 0.31715591] X=[ 0.40912499 3.34138372 -1.93534784 -0.98420103 1.01748196 -0.60616535 0.36803886 0.3218829 0.077712 -0.08628968 -0.66173945], Predicted=[0.99355655 0.00644345] X=[-0.89452915 1.30733592 -1.60478968 0.79040787 -0.40155916 -1.01779928 -0.45561214 0.6596076 1.26988195 -0.34918426 -0.41793512], Predicted=[0.88996146 0.11003854] X=[ 0.40912499 0.41433932 0.54383836 0.45520397 -0.35578364 0.56993158 0.36803886 0.55260571 0.077712 -0.17392121 -0.09286267], Predicted=[0.86739046 0.13260954] X=[-0.4204731 1.60500145 1.28759423 0.2580252 -0.035355 -1.13540897 0.72103215 0.55929333 -0.51837298 -1.05023647 -1.47442057], Predicted=[0.98824806 0.01175194] X=[ 1.94980715 -0.47865728 0.04800112 -1.0039189 -0.4931102 1.09917519 -0.66740811 -0.75816735 -0.78329963 0.527131 0.394746 ], Predicted=[0.61672221 0.38327779] X=[-0.06493106 -1.07398834 -0.11727796 -0.98420103 -0.2642326 -0.01811689 -0.76153965 -1.25973868 -0.18721466 1.49107779 1.20742712], Predicted=[0.42651194 0.57348806] X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046] X=[-0.65750113 0.26550655 -0.94367336 1.89460897 0.69705332 -0.5473605 0.06211135 1.40862078 -0.71706797 0.08897337 -1.14934812], Predicted=[0.94302516 0.05697484] X=[ 1.4757511 0.31511748 -0.77839428 -0.94476527 -0.63043676 -1.48823805 -1.6793222 -0.54416359 -0.71706797 -0.17392121 -0.01159456], Predicted=[0.85533076 0.14466924] X=[-0.30195909 0.41433932 0.6264779 0.15943582 0.10197156 1.15798004 0.93282812 0.44894764 0.077712 -0.26155273 -0.90554379], Predicted=[0.94109268 0.05890732] X=[-0.89452915 0.61278301 -0.77839428 2.35797907 0.1935226 -0.13572658 1.07402544 1.80653403 -0.45214131 1.05292016 -0.9868119 ], Predicted=[0.92450831 0.07549169] X=[-1.3685852 -0.37943543 1.12231514 -0.01802507 1.06325748 -0.01811689 1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.63465008], Predicted=[0.95800584 0.04199416] X=[-0.77601514 0.01745194 0.95703606 0.21858945 -0.035355 0.62873642 1.52115026 0.56932476 0.47510198 -0.26155273 -1.06808001], Predicted=[0.94931206 0.05068794] X=[-0.4204731 0.91044854 -0.28255704 -0.82645801 -0.58466124 0.2171025 -0.73800677 -1.70112144 0.21017533 0.35186795 2.42644879], Predicted=[0.31933573 0.68066427] X=[ 0.64615301 -0.77632281 0.13064066 -0.05746082 -0.9508654 -1.48823805 -2.31471011 -0.53078835 -2.63778623 0.26423642 0.31347789], Predicted=[0.75983102 0.24016898] X=[-0.4204731 2.20033252 -0.94367336 -0.45181836 -0.44733468 -0.01811689 -0.17321751 -1.27980153 0.47510198 0.527131 2.02010823], Predicted=[0.49431253 0.50568747] X=[ 0.76466702 -0.9747665 0.46119882 -0.88561164 0.37662468 -0.72377504 -1.11453294 0.02428392 0.54133365 -0.34918426 -0.17413078], Predicted=[0.90793186 0.09206814] X=[-1.72412724 -1.07398834 -0.53047566 -0.72786863 0.14774708 -0.42975081 -0.80860543 -0.59766453 1.79973526 0.527131 -0.17413078], Predicted=[0.74510362 0.25489638] X=[-0.4204731 -0.47865728 -0.69575474 2.15094136 0.01042052 -1.19421382 -0.66740811 1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.87273758 0.12726242] X=[ 1.35723709 -0.28021359 -0.53047566 0.65238274 -0.44733468 -1.19421382 -1.25573025 0.01090868 -1.31315295 -1.13786799 0.55728222], Predicted=[0.69663352 0.30336648] X=[ 2.06832116 0.31511748 -0.28255704 -1.08279041 -0.035355 -1.13540897 -0.690941 -0.51406931 -1.5780796 -0.87497341 -0.33666701], Predicted=[0.93716877 0.06283123] X=[ 2.30534919 1.10889223 0.04800112 -0.09689658 0.4224002 -0.13572658 -0.24381617 -0.44384932 -1.5780796 0.1766049 1.04489089], Predicted=[0.75180654 0.24819346] X=[-1.01304317 -0.9747665 -0.1999175 -0.98420103 -0.44733468 -1.25301866 -1.49105911 -1.06245396 1.0049553 0.79002558 0.47601411], Predicted=[0.60509886 0.39490114] X=[ 0.29061097 1.60500145 0.29591974 -0.72786863 -0.21845708 -0.01811689 -0.24381617 -1.48043006 -0.78329963 -0.52444731 2.42644879], Predicted=[0.59413009 0.40586991] X=[ 0.527639 -0.37943543 0.6264779 1.42137993 0.1935226 0.33471219 0.93282812 1.59587407 1.20365029 -0.52444731 -0.66173945], Predicted=[0.88244975 0.11755025] X=[ 0.76466702 -0.37943543 -0.1999175 1.30307267 0.14774708 0.62873642 1.85061067 1.49555981 -0.71706797 0.35186795 -1.39315246], Predicted=[0.93720776 0.06279224] X=[-0.06493106 -1.07398834 0.04800112 -0.86589377 -0.2642326 0.15829765 -0.64387523 -1.34667771 0.34263866 -0.34918426 1.93884012], Predicted=[0.34904443 0.65095557] X=[ 0.17209696 0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958 -0.50267791 -1.18617488 0.14394366 0.08897337 0.71981845], Predicted=[0.71066491 0.28933509] X=[ 0.40912499 -0.18099175 -0.28255704 -0.84617589 -0.58466124 0.86395581 0.46217041 -1.04573491 0.93872363 -0.52444731 1.28869523], Predicted=[0.44977368 0.55022632] X=[ 0.88318104 -1.07398834 0.2132802 -0.37294685 -0.17268156 -0.5473605 -0.8556712 0.08112867 -0.6508363 -0.17392121 -0.82427568], Predicted=[0.89424096 0.10575904] X=[ 1.47575110e+00 -1.80991745e-01 -3.46384190e-02 9.28433010e-01 2.85073639e-01 1.01096792e+00 4.62170406e-01 1.19461701e+00 -1.04822629e+00 1.34184656e-03 -2.55398896e-01], Predicted=[0.90189396 0.09810604] X=[-2.43521132 -1.47087572 -0.11727796 -1.02363678 -0.17268156 0.27590734 -0.94980274 -1.41355388 1.53480861 1.31581474 1.04489089], Predicted=[0.39780574 0.60219426] X=[-1.13155718 -0.18099175 -0.53047566 2.32840225 0.10197156 0.9815655 0.69749926 1.76306451 1.07118696 -0.43681578 -0.90554379], Predicted=[0.84351791 0.15648209] X=[ 0.17209696 2.89488543 -1.93534784 0.37633246 2.20764547 -0.72377504 1.16815698 1.06086466 1.40234528 -0.17392121 -1.06808001], Predicted=[0.98902011 0.01097989] X=[-0.53898711 -0.67710097 1.37023377 1.02702239 -0.17268156 0.56993158 0.34450598 1.06086466 -0.25344632 -0.52444731 -1.39315246], Predicted=[0.93938558 0.06061442] X=[ 0.40912499 0.91044854 -1.52215014 -0.86589377 -0.76776332 -0.48855566 -1.20866448 -1.24636344 0.74002864 0.87765711 1.69503579], Predicted=[0.36841396 0.63158604] X=[-1.01304317 0.01745194 0.13064066 -0.88561164 -0.40155916 -1.13540897 -0.43207925 -0.24322079 -0.18721466 1.75397237 0.06967355], Predicted=[0.92311563 0.07688437] X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909] X=[ 1.71277913 -1.37165388 0.04800112 -1.04335466 -0.17268156 -1.66465259 -2.14997991 -0.2097827 1.86596693 -0.78734189 -0.2553989 ], Predicted=[0.73627469 0.26372531] X=[-4.20473102e-01 -2.80213589e-01 -5.30475661e-01 2.17065924e+00 8.34379878e-01 -3.70945966e-01 3.85784619e-02 1.24811795e+00 7.77119994e-02 1.34184656e-03 -3.36667007e-01], Predicted=[0.79630651 0.20369349] X=[-1.01304317 -0.77632281 3.10566411 -0.94476527 4.77107459 -1.48823805 -1.98524971 -0.44384932 -0.45214131 -0.17392121 -0.58047134], Predicted=[0.9923215 0.0076785] X=[-0.30195909 -0.87554465 0.79175698 0.88899726 -0.035355 1.04037035 0.36803886 1.16786654 2.19712525 2.45502457 -0.09286267], Predicted=[0.63208855 0.36791145] X=[-0.4204731 -1.96698494 -0.03463842 -0.88561164 -0.81353884 -0.72377504 -1.06746717 -1.01229682 1.0049553 1.84160389 1.20742712], Predicted=[0.28319594 0.71680406] X=[-3.01959090e-01 -1.80991745e-01 1.86607101e+00 1.77630171e+00 3.30849159e-01 -1.94531426e-01 6.21113476e-02 1.36180745e+00 -5.18372977e-01 1.34184656e-03 -9.86811901e-01], Predicted=[0.92951838 0.07048162] X=[-3.01959090e-01 -1.80991745e-01 -5.30475661e-01 1.06645815e+00 1.01971559e-01 -4.29750812e-01 -6.20342339e-01 6.79670449e-01 -2.10793291e+00 1.34184656e-03 -6.61739454e-01], Predicted=[0.93196987 0.06803013] X=[ 0.76466702 0.51356116 0.2132802 -0.74758651 0.23929812 -0.5473605 -0.29088194 -1.02232825 0.87249197 0.35186795 1.7763039 ], Predicted=[0.51084035 0.48915965] X=[-0.30195909 -0.28021359 -0.1999175 -0.96448315 -0.4931102 -0.19453143 -0.26734905 -0.64447785 1.46857694 -0.17392121 0.63855033], Predicted=[0.7095092 0.2904908] X=[-0.77601514 -1.07398834 -0.44783612 -0.3335111 -0.40155916 0.2171025 -0.12615174 -0.31009697 1.46857694 -0.26155273 0.23220977], Predicted=[0.64594845 0.35405155] X=[ 1.94980715 2.79566358 3.35358273 2.25938968 0.23929812 0.92276066 2.4624657 2.16432157 -1.31315295 1.84160389 -1.06808001], Predicted=[0.97215748 0.02784252] X=[-0.65750113 -0.87554465 -0.03463842 0.73125424 0.78860436 1.62841881 -0.12615174 0.52919905 -2.17416458 -0.69971036 -1.14934812], Predicted=[0.95190968 0.04809032] X=[ 0.40912499 0.41433932 -0.28255704 0.36647352 -1.179743 -1.25301866 -0.80860543 -0.13621891 -1.31315295 -0.43681578 0.71981845], Predicted=[0.76540444 0.23459556] X=[ 0.88318104 -0.57787912 0.04800112 0.65238274 -0.4931102 -0.5473605 0.10917712 0.82679804 -0.71706797 0.00134185 -0.58047134], Predicted=[0.88564463 0.11435537] X=[ 0.17209696 -0.67710097 -0.44783612 0.21858945 1.109033 0.56993158 1.09755832 0.86023613 1.0049553 0.527131 -0.90554379], Predicted=[0.92220519 0.07779481] X=[ 1.94980715 -0.67710097 -0.6131152 0.56365229 -0.53888572 2.21646728 0.08564423 0.15803627 -0.91576296 -1.05023647 0.71981845], Predicted=[0.48663534 0.51336466] X=[ 0.64615301 -0.28021359 0.29591974 1.40166205 0.6512778 0.9815655 1.26228852 1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.9316585 0.0683415] X=[ 0.29061097 0.91044854 -0.28255704 -0.03774295 -0.2642326 0.80515096 0.01504558 -1.27645772 -0.12098299 -1.92655172 2.5077169 ], Predicted=[0.34924096 0.65075904] X=[ 0.40912499 0.21589563 -0.28255704 0.33689671 0.1935226 0.27590734 1.16815698 0.83348566 -0.25344632 0.00134185 -1.14934812], Predicted=[0.9555409 0.0444591] X=[ 0.40912499 -0.67710097 5.50221078 -1.04335466 4.95417667 0.62873642 -0.57327657 -0.31009697 -1.5780796 -0.52444731 -1.06808001], Predicted=[0.99585711 0.00414289] X=[ 1.4757511 0.01745194 0.04800112 -1.0039189 -0.4931102 -1.4294332 -0.29088194 -0.57091406 -0.31967798 0.08897337 -0.58047134], Predicted=[0.86996175 0.13003825] X=[-0.30195909 0.01745194 -0.86103382 0.79040787 0.14774708 0.56993158 1.21522275 1.17455416 -0.45214131 0.1766049 -1.39315246], Predicted=[0.9615921 0.0384079] X=[ 1.35723709 -0.57787912 -0.1999175 -0.15605021 0.14774708 -0.6649702 -0.97333563 -0.34353506 -0.58460464 -0.61207884 0.31347789], Predicted=[0.72702419 0.27297581] X=[ 1.59426511 -0.47865728 0.54383836 -1.02363678 -0.85931436 0.04068796 -0.40854637 -0.67791594 -0.45214131 -0.96260494 0.15094166], Predicted=[0.77130217 0.22869783] X=[-1.3685852 -0.18099175 -0.69575474 0.79040787 -1.179743 -1.66465259 -1.91465106 -0.00915417 1.33611362 -1.05023647 0.06967355], Predicted=[0.61784417 0.38215583] X=[ 1.35723709 -1.37165388 1.28759423 -0.96448315 -0.4931102 0.39351704 -0.43207925 -0.41041123 0.47510198 -0.78734189 0.06967355], Predicted=[0.7353919 0.2646081] X=[-0.53898711 0.11667379 -1.27423152 1.6974302 -0.2642326 -0.84138474 -0.5262108 1.1143656 -0.31967798 0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571] X=[ 0.17209696 -0.37943543 -0.6131152 -0.9250474 -0.21845708 -0.25333627 -0.66740811 -0.87185685 0.077712 0.35186795 0.394746 ], Predicted=[0.70445327 0.29554673] X=[ 1.23872307e+00 1.74519434e-02 6.26477903e-01 -8.65893766e-01 -8.11305203e-02 8.63955809e-01 3.20973091e-01 -2.09782702e-01 1.73350360e+00 1.34184656e-03 1.50941663e-01], Predicted=[0.74350862 0.25649138] X=[ 2.06832116e+00 8.11226697e-01 -6.13115201e-01 9.28433010e-01 -7.21987799e-01 4.81724307e-01 7.68097920e-01 2.58350535e-01 -1.04822629e+00 1.34184656e-03 1.20742712e+00], Predicted=[0.532744 0.467256] X=[ 0.05358295 1.20811407 0.29591974 0.49463972 0.33084916 0.04068796 0.22684155 0.6596076 -0.18721466 0.08897337 -0.9868119 ], Predicted=[0.9573858 0.0426142] X=[ 0.88318104 0.21589563 -0.53047566 0.82984363 -0.31000812 -0.25333627 -0.45561214 1.3785265 0.54133365 -1.66365715 -0.9868119 ], Predicted=[0.94705158 0.05294842] X=[ 1.35723709 -0.37943543 1.20495468 0.08056431 0.05619604 -1.31182351 -0.10261885 0.71310854 0.27640699 1.84160389 -0.41793512], Predicted=[0.87973056 0.12026944] X=[ 0.527639 -0.28021359 0.6264779 -0.90532952 -0.40155916 0.9815655 0.62690061 -0.97885873 0.67379698 -0.87497341 1.36996334], Predicted=[0.55492088 0.44507912] X=[-0.30195909 1.10889223 -0.44783612 0.55379335 -0.44733468 -1.48823805 -1.09100005 -0.65785309 -0.78329963 -1.22549952 1.28869523], Predicted=[0.6722222 0.3277778] X=[ 0.64615301 1.10889223 -0.86103382 0.12000007 -0.58466124 -0.37094597 -0.29088194 -0.00915417 -0.31967798 -0.61207884 -0.01159456], Predicted=[0.85174518 0.14825482] X=[-1.01304317 -0.0817699 -0.6131152 -1.0039189 -0.35578364 -0.19453143 -0.00848731 -0.9287016 1.79973526 -0.52444731 0.47601411], Predicted=[0.70638439 0.29361561] X=[-0.06493106 0.71200485 1.61815239 0.73125424 0.33084916 0.09949281 0.29744021 0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.96822803 0.03177197] X=[-0.77601514 -0.28021359 1.20495468 0.71153637 -0.08113052 2.51049151 2.39186704 0.84351708 0.40887032 -0.17392121 -0.82427568], Predicted=[0.90629284 0.09370716] X=[-0.06493106 -0.57787912 -0.36519658 0.49463972 0.01042052 2.74571089 1.16815698 0.49241715 0.74002864 -0.43681578 -0.17413078], Predicted=[0.73273086 0.26726914] X=[ 0.05358295 -0.57787912 -0.44783612 0.27774308 0.1935226 0.45232188 -0.5262108 -0.25659603 0.21017533 0.96528863 0.80108656], Predicted=[0.49578454 0.50421546] X=[-1.13155718 1.40655776 0.2132802 -0.78702226 -0.53888572 -0.95899443 -1.44399334 -0.73141688 0.40887032 -0.08628968 0.31347789], Predicted=[0.89674986 0.10325014] X=[ 2.06832116 2.05149975 -0.36519658 -0.45181836 -0.90508988 -0.95899443 -0.87920408 -0.74479212 -1.18068962 -0.96260494 1.53249956], Predicted=[0.74466284 0.25533716] X=[ 0.64615301 2.10111067 -0.77839428 1.71714808 -0.7219878 -0.07692173 0.34450598 0.42554098 -0.38590965 0.1766049 1.20742712], Predicted=[0.54720275 0.45279725] X=[-0.30195909 0.91044854 1.12231514 0.02141068 0.69705332 -0.72377504 0.27390732 0.45897907 -0.31967798 -0.34918426 -0.74300757], Predicted=[0.97930281 0.02069719] X=[ 0.527639 0.01745194 0.29591974 -1.02363678 -0.31000812 -0.5473605 -0.92626985 -0.68460356 -1.18068962 1.14055168 0.23220977], Predicted=[0.86015119 0.13984881] X=[ 0.88318104 -0.67710097 0.87439652 -0.88561164 -0.44733468 -1.48823805 -0.45561214 -0.91198256 -1.18068962 1.84160389 1.85757201], Predicted=[0.59169974 0.40830026] X=[ 1.00169505 -0.9747665 1.61815239 -1.02363678 -0.21845708 0.39351704 0.67396638 -1.079173 -0.51837298 -0.43681578 1.126159 ], Predicted=[0.63470082 0.36529918] X=[-0.30195909 -0.37943543 0.37855928 0.31717883 -0.17268156 1.21678489 1.14462409 0.58269999 0.14394366 -0.26155273 -1.06808001], Predicted=[0.9153151 0.0846849] X=[ 0.17209696 0.21589563 1.28759423 -0.3335111 -0.44733468 -1.07660412 -0.78507254 -0.81166829 0.47510198 1.66634084 1.53249956], Predicted=[0.46326251 0.53673749] X=[ 1.23872307 0.8112267 1.61815239 1.28335479 0.14774708 1.62841881 0.01504558 1.30161889 -1.64431127 -0.34918426 -1.14934812], Predicted=[0.95619472 0.04380528] X=[ 0.40912499 0.31511748 -0.77839428 -0.98420103 0.51395124 -1.07660412 -0.50267791 -0.41041123 -0.18721466 -1.22549952 -0.01159456], Predicted=[0.94669255 0.05330745] X=[ 0.88318104 -1.27243203 0.54383836 -1.0039189 -0.44733468 -0.6649702 -0.62034234 -0.27665888 -0.31967798 2.36739305 -0.41793512], Predicted=[0.79590959 0.20409041] X=[-0.89452915 0.01745194 -0.6131152 -0.96448315 -0.7219878 -0.60616535 -0.87920408 -1.70112144 -1.04822629 -0.69971036 1.28869523], Predicted=[0.62586879 0.37413121] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[-0.53898711 -0.87554465 0.70911744 -0.68843288 -0.63043676 -0.19453143 -1.30279603 -1.079173 0.74002864 -0.69971036 0.96362278], Predicted=[0.51354327 0.48645673] X=[-3.01959090e-01 -2.80213589e-01 1.45287331e+00 3.17178833e-01 5.61960394e-02 1.51080912e+00 1.19168986e+00 6.72982831e-01 2.10175327e-01 1.34184656e-03 -1.06808001e+00], Predicted=[0.93196211 0.06803789] X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=[0.70177663 0.29822337] X=[-0.65750113 -0.77632281 -0.6131152 1.24391904 0.01042052 1.45200427 0.10917712 0.41216574 0.47510198 -1.22549952 0.23220977], Predicted=[0.60100453 0.39899547] X=[-1.25007119 0.41433932 -0.44783612 -0.4123826 -0.63043676 0.62873642 -0.54974368 -1.52724338 -0.18721466 0.70239405 2.02010823], Predicted=[0.32232576 0.67767424] X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504 -0.64387523 0.00756487 1.07118696 1.31581474 -0.2553989 ], Predicted=[0.79751961 0.20248039] X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=[0.64164981 0.35835019] X=[ 1.12020906 -0.9747665 1.0396756 1.22420116 -0.17268156 0.33471219 0.10917712 1.99713113 0.34263866 2.36739305 -1.6369568 ], Predicted=[0.90770583 0.09229417] X=[ 0.40912499 -1.27243203 0.46119882 -0.90532952 -0.12690604 -0.84138474 0.48570329 0.25835054 2.19712525 -0.17392121 -0.41793512], Predicted=[0.87925307 0.12074693] X=[ 0.527639 1.20811407 -0.77839428 0.06084644 0.55972676 0.33471219 0.65043349 0.32522671 0.077712 -0.69971036 -0.49920323], Predicted=[0.94201446 0.05798554] X=[-0.89452915 0.41433932 -0.03463842 0.8495615 -0.44733468 -0.48855566 -0.94980274 0.3954467 1.0049553 0.26423642 -0.2553989 ], Predicted=[0.76871297 0.23128703] X=[-0.4204731 0.51356116 3.18830365 -1.04335466 0.69705332 -1.66465259 0.29744021 -0.34353506 -0.6508363 0.70239405 -0.82427568], Predicted=[0.98477663 0.01522337] X=[-0.89452915 -0.0817699 -0.11727796 -1.04335466 -0.53888572 -0.6649702 -0.66740811 -1.41355388 1.13741862 -0.78734189 1.61376767], Predicted=[0.52907821 0.47092179] X=[ 1.23872307 0.01745194 1.28759423 0.2580252 -0.035355 0.74634612 1.33288718 0.45897907 -0.98199462 0.527131 0.394746 ], Predicted=[0.86509429 0.13490571] X=[ 1.12020906 -1.07398834 -0.86103382 -0.9250474 -0.76776332 0.2171025 -0.24381617 -0.4371617 1.20365029 -0.69971036 0.15094166], Predicted=[0.61651075 0.38348925] X=[ 0.17209696 0.11667379 0.13064066 -0.98420103 -0.44733468 0.39351704 -0.690941 -0.94876445 0.8062603 1.14055168 0.88235467], Predicted=[0.55405341 0.44594659] X=[ 1.23872307 1.60500145 0.29591974 -0.10675551 -0.58466124 -0.48855566 -1.06746717 -0.67791594 -0.18721466 0.43949948 1.69503579], Predicted=[0.53616439 0.46383561] X=[-1.60561323 0.56317209 -0.28255704 -0.76730438 1.15480852 -0.48855566 -0.24381617 -0.54416359 -0.31967798 0.1766049 -0.74300757], Predicted=[0.96903483 0.03096517] X=[-0.06493106 -0.67710097 -0.53047566 2.31854331 -0.17268156 0.33471219 0.17977578 2.03056922 0.74002864 -1.13786799 -1.47442057], Predicted=[0.88161377 0.11838623] X=[-1.01304317 0.01745194 1.28759423 0.08056431 0.10197156 1.51080912 1.96827509 0.42554098 0.01148034 -0.17392121 -0.9868119 ], Predicted=[0.95588771 0.04411229] X=[ 0.17209696 -0.37943543 0.2132802 -0.70815075 -0.53888572 -0.78257989 -0.62034234 -1.34667771 0.01148034 -0.96260494 1.69503579], Predicted=[0.46209992 0.53790008] X=[ 0.05358295 0.11667379 -0.28255704 0.35661459 -0.90508988 -0.01811689 -0.62034234 -0.86516923 -1.24692128 -1.05023647 1.45123145], Predicted=[0.45944723 0.54055277] X=[ 1.12020906 -0.28021359 0.29591974 -1.06307253 -0.12690604 -1.48823805 -1.37339468 -0.91867018 -0.71706797 -0.96260494 0.71981845], Predicted=[0.8188768 0.1811232] X=[-0.89452915 0.21589563 -0.28255704 -0.84617589 -0.67621228 0.86395581 0.57983483 -1.51386815 1.33611362 -0.52444731 1.7763039 ], Predicted=[0.3471397 0.6528603] X=[ 0.40912499 -1.07398834 0.04800112 0.00169281 -0.17268156 -1.13540897 -0.64387523 -0.41709885 -1.31315295 -0.78734189 0.23220977], Predicted=[0.7793141 0.2206859] X=[ 0.05358295 -0.9747665 -0.28255704 -0.86589377 -0.35578364 0.2171025 1.21522275 -0.87854447 0.87249197 -1.05023647 1.36996334], Predicted=[0.57228266 0.42771734] X=[-0.30195909 -1.17321019 -0.11727796 -0.98420103 -0.4931102 0.80515096 1.12109121 -1.14604918 1.07118696 1.31581474 1.53249956], Predicted=[0.31395528 0.68604472] X=[ 0.64615301 0.8112267 -0.03463842 -0.98420103 -0.9508654 -0.48855566 -1.96171683 -0.84510638 0.14394366 -1.40076257 0.55728222], Predicted=[0.79627926 0.20372074] X=[-1.96115527 0.31511748 0.2132802 -0.25463959 -0.67621228 0.62873642 0.15624289 -1.44699197 -0.31967798 -1.57602562 1.53249956], Predicted=[0.57992394 0.42007606] X=[ 1.83129314 0.71200485 1.86607101 1.46081568 0.10197156 1.15798004 1.21522275 1.76306451 -0.78329963 0.79002558 -0.90554379], Predicted=[0.9403897 0.0596103] X=[-0.53898711 -0.57787912 -0.11727796 1.1058939 0.92593092 1.27558973 0.46217041 1.72962642 2.72697856 -0.52444731 -1.23061624], Predicted=[0.91955953 0.08044047] X=[ 0.527639 -0.28021359 0.2132802 -0.84617589 -0.53888572 -0.31214112 0.90929523 -1.06245396 0.40887032 -0.78734189 1.126159 ], Predicted=[0.59196475 0.40803525] X=[-1.60561323 0.41433932 -1.68742922 -1.0039189 -0.40155916 0.56993158 0.41510463 -0.73141688 0.47510198 -0.96260494 0.15094166], Predicted=[0.89519401 0.10480599] X=[-1.3685852 0.8112267 -1.0263129 0.06084644 -0.35578364 0.92276066 0.65043349 0.02428392 0.67379698 1.22818321 -0.41793512], Predicted=[0.84307587 0.15692413] X=[-0.4204731 -1.27243203 0.87439652 1.22420116 0.28507364 1.7460285 0.46217041 0.95386277 0.47510198 1.84160389 -0.17413078], Predicted=[0.64888231 0.35111769] X=[ 1.35723709 -1.07398834 -0.36519658 -0.78702226 -0.76776332 0.9815655 -0.45561214 -1.533931 -1.04822629 -1.40076257 1.93884012], Predicted=[0.25816207 0.74183793] X=[-1.25007119 0.21589563 -1.77006876 -0.94476527 -0.44733468 1.27558973 0.57983483 -0.54750739 1.26988195 0.87765711 -0.01159456], Predicted=[0.77853388 0.22146612] X=[ 0.05358295 0.41433932 -0.28255704 -0.90532952 -0.44733468 -0.42975081 -0.50267791 -0.44719313 0.34263866 -0.08628968 0.394746 ], Predicted=[0.86348219 0.13651781] X=[ 0.88318104 1.00967039 -0.44783612 -0.43210048 -0.76776332 -1.66465259 -0.62034234 -1.14604918 -1.24692128 -0.69971036 1.69503579], Predicted=[0.64064591 0.35935409] X=[-1.01304317 -0.18099175 -0.36519658 -0.64899712 -0.21845708 0.09949281 0.13271 -1.533931 0.21017533 -0.87497341 1.85757201], Predicted=[0.4478849 0.5521151] X=[ 0.40912499 -0.47865728 0.46119882 -0.80674014 -0.58466124 -0.37094597 -0.8556712 -1.079173 0.47510198 0.43949948 1.45123145], Predicted=[0.42776798 0.57223202] X=[ 1.71277913 0.01745194 0.54383836 0.27774308 -0.21845708 0.15829765 1.30935429 1.19461701 1.0049553 0.1766049 -0.74300757], Predicted=[0.91412712 0.08587288] X=[-0.30195909 -1.17321019 -0.69575474 0.67210061 0.14774708 1.42260185 -0.0320202 0.32522671 -0.18721466 -0.96260494 -0.41793512], Predicted=[0.76470245 0.23529755] X=[-1.60561323 0.96005946 0.37855928 -0.9250474 -0.44733468 -1.07660412 -0.94980274 -0.87185685 0.67379698 -0.87497341 -0.01159456], Predicted=[0.91905822 0.08094178] X=[-1.3685852 -0.28021359 -1.0263129 -0.96448315 -0.08113052 -0.84138474 -0.71447388 -0.87185685 0.74002864 0.87765711 0.394746 ], Predicted=[0.77512766 0.22487234] X=[-1.13155718 1.35694684 -2.59646417 -1.10250829 -0.35578364 -0.78257989 -1.77345374 -0.27665888 1.13741862 -1.13786799 -0.9868119 ], Predicted=[0.96471967 0.03528033] X=[-0.18344508 -0.67710097 0.2132802 0.42562715 -1.179743 -0.90018958 -1.23219737 -0.85848162 0.01148034 -2.36470935 2.34518068], Predicted=[0.28445648 0.71554352] X=[ 0.29061097 5.67309706 1.28759423 0.45520397 -0.81353884 0.27590734 1.07402544 0.72648377 0.21017533 -1.13786799 0.15094166], Predicted=[0.98755665 0.01244335] X=[ 0.40912499 -1.96698494 1.28759423 -1.0039189 0.1935226 -1.01779928 0.22684155 0.15803627 1.79973526 -0.43681578 -0.2553989 ], Predicted=[0.88910647 0.11089353] X=[ 0.17209696 0.11667379 -0.03463842 -1.08279041 -0.21845708 -0.90018958 -0.50267791 -1.18617488 0.14394366 0.08897337 0.71981845], Predicted=[0.71066491 0.28933509] X=[-0.53898711 -0.0817699 -1.19159198 -0.88561164 1.7956658 -0.84138474 1.35642006 0.37872765 1.99843026 1.31581474 -0.82427568], Predicted=[0.96735667 0.03264333] X=[-0.06493106 -0.87554465 -0.86103382 -0.25463959 -0.53888572 2.09885758 1.54468315 0.05772201 0.27640699 1.75397237 -0.33666701], Predicted=[0.68514414 0.31485586] X=[ 0.76466702 -0.0817699 0.2132802 0.12000007 -0.44733468 0.56993158 0.60336772 -0.04259226 -1.04822629 -1.40076257 0.394746 ], Predicted=[0.83375456 0.16624544] X=[-0.30195909 -0.47865728 -0.28255704 1.67771232 0.23929812 -0.13572658 -0.47914502 1.44540267 -0.98199462 0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987] X=[-0.77601514 3.78788202 1.20495468 -1.02363678 -0.76776332 -0.37094597 -1.49105911 -1.61418241 0.93872363 -0.87497341 1.85757201], Predicted=[0.77395987 0.22604013] X=[ 0.29061097 -0.77632281 -0.53047566 0.63266486 -0.40155916 -0.95899443 -0.78507254 0.13797342 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.78759369 0.21240631] X=[-0.4204731 -0.37943543 0.46119882 2.15094136 0.28507364 -0.78257989 -0.29088194 1.62262454 -0.51837298 -0.17392121 -1.06808001], Predicted=[0.92131094 0.07868906] X=[ 0.05358295 -0.87554465 -0.44783612 -0.27435747 0.55972676 -1.25301866 0.17977578 0.39210289 0.67379698 -1.13786799 -1.14934812], Predicted=[0.95487972 0.04512028] X=[-0.89452915 -1.07398834 -0.36519658 -1.04335466 -0.21845708 -0.19453143 -1.09100005 -1.22630059 0.47510198 0.70239405 0.55728222], Predicted=[0.56923688 0.43076312] X=[-0.53898711 0.01745194 0.87439652 0.13971794 0.10197156 0.80515096 0.95636101 0.41885336 -0.25344632 -0.08628968 -1.06808001], Predicted=[0.94986928 0.05013072] X=[-0.06493106 -0.18099175 -0.94367336 0.2580252 0.05619604 1.27558973 1.68588046 0.62616951 -0.58460464 -0.17392121 -1.23061624], Predicted=[0.9435292 0.0564708] X=[-0.89452915 -0.37943543 -0.28255704 -0.96448315 -0.035355 -0.78257989 -1.82051951 -0.67791594 0.8062603 0.43949948 -0.09286267], Predicted=[0.82814629 0.17185371] X=[ 1.00169505 -0.0817699 1.28759423 -0.90532952 -0.21845708 -0.72377504 -1.23219737 -0.87854447 -0.18721466 -0.61207884 1.61376767], Predicted=[0.692584 0.307416] X=[-0.65750113 -0.9747665 -0.94367336 -0.96448315 -0.12690604 0.56993158 0.39157175 -0.5508512 0.01148034 -0.08628968 -0.2553989 ], Predicted=[0.85563761 0.14436239] X=[ 0.17209696 -0.37943543 -0.28255704 1.16504753 -0.4931102 2.15766243 0.79163081 0.45897907 -1.31315295 0.70239405 -0.09286267], Predicted=[0.65028474 0.34971526] X=[-0.4204731 0.01745194 -0.03463842 1.83545534 0.33084916 0.92276066 1.21522275 1.26149319 0.21017533 0.1766049 -0.66173945], Predicted=[0.83979822 0.16020178] X=[-0.18344508 -0.67710097 0.04800112 -0.98420103 0.14774708 0.04068796 -0.62034234 -1.0423911 -1.11445795 0.08897337 0.394746 ], Predicted=[0.80773462 0.19226538] X=[-2.19818329 2.69644174 -1.60478968 0.37633246 -0.63043676 -0.01811689 0.60336772 -0.74479212 2.26335691 0.1766049 1.61376767], Predicted=[0.50594332 0.49405668] X=[ 1.12020906 2.10111067 1.28759423 0.12000007 -0.12690604 -0.37094597 0.25037443 0.39210289 0.14394366 -1.40076257 -0.41793512], Predicted=[0.95916613 0.04083387] X=[-0.06493106 -0.67710097 1.78343147 1.61855869 0.33084916 -0.07692173 0.48570329 1.34508841 -1.71054293 -0.43681578 -1.06808001], Predicted=[0.95758835 0.04241165] X=[-0.53898711 -1.17321019 -0.11727796 0.46506291 -0.35578364 0.15829765 -0.47914502 0.15469246 0.01148034 -0.69971036 0.15094166], Predicted=[0.73213089 0.26786911] X=[-1.13155718 -0.57787912 0.37855928 -1.0039189 0.01042052 -0.6649702 -1.13806583 -0.57091406 0.077712 -0.17392121 -0.41793512], Predicted=[0.92436903 0.07563097] X=[ 1.35723709 -0.0817699 -0.69575474 2.50586314 -0.035355 0.86395581 1.63881469 2.16766538 -0.91576296 0.08897337 -1.06808001], Predicted=[0.87971212 0.12028788] X=[-0.53898711 0.91044854 1.28759423 1.3622263 -0.035355 1.04037035 2.4624657 1.39524554 -0.31967798 -0.08628968 -1.6369568 ], Predicted=[0.9729351 0.0270649] X=[-1.25007119 -0.77632281 -0.77839428 -0.98420103 -0.58466124 1.7460285 0.72103215 -1.20289393 2.6607469 0.61476253 1.45123145], Predicted=[0.23906282 0.76093718] X=[ 1.4757511 1.20811407 -0.11727796 0.29746096 -0.67621228 -0.72377504 -0.47914502 -0.75816735 -0.91576296 -0.26155273 2.26391257], Predicted=[0.39457481 0.60542519] X=[-0.77601514 0.11667379 -0.6131152 1.32279054 0.01042052 1.15798004 1.54468315 1.14445988 -0.18721466 -0.69971036 -0.74300757], Predicted=[0.92416148 0.07583852] X=[-1.60561323 0.01745194 -1.0263129 -0.94476527 -0.63043676 -0.72377504 -1.25573025 -1.25639487 1.53480861 -0.61207884 1.61376767], Predicted=[0.53953327 0.46046673] X=[-1.3685852 -0.9747665 -0.6131152 -0.82645801 -1.04241644 -0.84138474 -1.0204014 -1.58074433 -0.78329963 0.43949948 1.45123145], Predicted=[0.4481713 0.5518287] X=[-2.07966928 -0.47865728 -1.27423152 -1.06307253 0.33084916 -1.31182351 -0.92626985 -1.4938053 0.21017533 -0.87497341 0.80108656], Predicted=[0.78648503 0.21351497] X=[-2.07966928 0.51356116 -0.53047566 0.06084644 -1.08819196 0.51112673 -0.22028328 -0.60769595 1.13741862 -0.87497341 0.394746 ], Predicted=[0.6694113 0.3305887] X=[-0.06493106 -1.07398834 0.13064066 -0.90532952 -0.2642326 -0.37094597 -1.27926314 -1.47708625 -1.84300626 0.70239405 1.20742712], Predicted=[0.56024858 0.43975142] X=[ 2.06832116e+00 -7.76322810e-01 7.09117443e-01 -9.64483150e-01 -2.18457080e-01 -1.81168871e-02 -3.14414825e-01 -5.10725497e-01 -5.18372977e-01 1.34184656e-03 7.19818445e-01], Predicted=[0.721272 0.278728] X=[ 0.29061097 -0.37943543 0.6264779 2.24953075 0.01042052 0.2171025 0.15624289 1.93025495 0.87249197 -0.87497341 -1.47442057], Predicted=[0.88266272 0.11733728] X=[-0.77601514 1.60500145 -1.27423152 0.2580252 2.29919651 -0.42975081 1.68588046 1.23139891 2.4620519 2.01686694 -1.06808001], Predicted=[0.97943496 0.02056504] X=[ 0.17209696 -0.18099175 0.04800112 0.88899726 -0.35578364 -0.60616535 -1.27926314 0.09784771 -0.51837298 -1.31313104 0.31347789], Predicted=[0.71853575 0.28146425] X=[ 1.35723709 -0.18099175 -0.44783612 0.35661459 -0.35578364 2.15766243 1.49761738 0.5459181 -0.45214131 0.61476253 -0.41793512], Predicted=[0.7718016 0.2281984] X=[-0.77601514 0.41433932 -1.77006876 -0.31379322 0.37662468 -1.72345743 -0.97333563 0.07109724 -0.18721466 0.08897337 -0.9868119 ], Predicted=[0.96201449 0.03798551] X=[ 1.59426511 -0.77632281 0.2132802 0.33689671 -0.4931102 1.45200427 0.57983483 0.39210289 -0.91576296 -1.66365715 -0.17413078], Predicted=[0.80929988 0.19070012] X=[-0.18344508 1.40655776 1.0396756 0.65238274 0.37662468 1.8636382 2.25066972 1.48887219 0.27640699 0.08897337 -1.23061624], Predicted=[0.98449715 0.01550285] X=[-0.18344508 2.00188883 1.28759423 -0.68843288 -0.7219878 -0.42975081 -0.38501348 -1.59411956 -0.38590965 -0.78734189 2.02010823], Predicted=[0.6319158 0.3680842] X=[ 2.54237721 1.00967039 1.61815239 -0.84617589 2.57384963 -0.95899443 -1.46752623 -1.3433339 -1.71054293 0.70239405 1.93884012], Predicted=[0.75634525 0.24365475] X=[ 1.12020906 0.31511748 0.54383836 -0.94476527 -0.85931436 -0.90018958 -1.20866448 -0.97885873 -0.25344632 -0.08628968 1.126159 ], Predicted=[0.64977919 0.35022081] X=[-0.18344508 1.30733592 0.04800112 0.55379335 0.14774708 -0.37094597 0.27390732 0.9271123 0.21017533 0.1766049 -1.14934812], Predicted=[0.96862892 0.03137108] X=[ 0.64615301 0.01745194 1.28759423 -0.96448315 -0.53888572 -0.90018958 -0.29088194 -0.74479212 -1.37938461 -0.87497341 0.06967355], Predicted=[0.9163849 0.0836151] X=[ 1.83129314 0.31511748 -0.1999175 -1.07293147 -1.13396748 0.9815655 0.22684155 -1.21961297 -1.71054293 -1.48839409 0.80108656], Predicted=[0.68980019 0.31019981] X=[ 0.17209696 -0.0817699 3.35358273 -0.96448315 -0.44733468 -0.48855566 -0.38501348 -0.47728741 1.07118696 -0.08628968 0.55728222], Predicted=[0.84572262 0.15427738] X=[ 0.88318104 -0.57787912 -0.44783612 1.1058939 0.46817572 1.92244304 0.10917712 1.42868363 -1.31315295 -1.66365715 -1.06808001], Predicted=[0.95511165 0.04488835] X=[-1.25007119 -0.18099175 -0.77839428 0.55379335 -0.08113052 1.15798004 0.32097309 0.69304568 0.8062603 -0.96260494 -0.90554379], Predicted=[0.91435859 0.08564141] X=[ 2.77940524 -0.47865728 -0.28255704 -1.04335466 -0.67621228 0.27590734 -0.92626985 -0.37697314 -1.64431127 -1.66365715 -0.09286267], Predicted=[0.87037175 0.12962825] X=[ 1.00169505 0.31511748 -0.86103382 -0.86589377 1.06325748 -0.37094597 -0.10261885 -0.06934273 -0.51837298 1.14055168 -0.58047134], Predicted=[0.94662304 0.05337696] X=[-0.4204731 -0.37943543 0.37855928 -1.06307253 -0.85931436 -0.25333627 -1.13806583 -1.59411956 0.34263866 -1.13786799 1.45123145], Predicted=[0.47198223 0.52801777] X=[ 1.71277913 -0.67710097 0.6264779 -0.82645801 0.1935226 -0.6649702 -0.71447388 -0.00915417 -2.24039624 -0.34918426 -0.82427568], Predicted=[0.96559041 0.03440959] X=[-0.30195909 0.01745194 0.70911744 0.35661459 -0.08113052 1.45200427 1.35642006 0.53254286 -0.31967798 -0.08628968 -0.90554379], Predicted=[0.92778434 0.07221566] X=[-0.18344508 -0.28021359 -0.6131152 1.40166205 0.6512778 0.86395581 0.41510463 1.27486842 1.33611362 -0.26155273 -0.49920323], Predicted=[0.82591117 0.17408883] X=[-1.48709922 -1.57009756 -0.03463842 -0.68843288 -0.08113052 -0.84138474 -1.53812488 -1.69443383 -0.12098299 -1.48839409 1.93884012], Predicted=[0.40903582 0.59096418] X=[ 0.29061097 -0.77632281 0.2132802 1.02702239 -0.17268156 0.56993158 -0.33794771 0.99398848 -1.77677459 0.87765711 -0.82427568], Predicted=[0.90110575 0.09889425] X=[-1.01304317 -0.28021359 0.54383836 -0.13633233 0.28507364 1.21678489 0.32097309 -0.01584179 -0.18721466 3.41897136 -0.01159456], Predicted=[0.78895098 0.21104902] X=[ 6.46153012e-01 -8.75544654e-01 -2.82557040e-01 1.26363691e+00 3.30849159e-01 7.75748539e-01 2.13300529e+00 1.52899789e+00 -3.19677985e-01 1.34184656e-03 -1.14934812e+00], Predicted=[0.9260393 0.0739607] X=[-1.48709922 -0.18099175 -0.53047566 0.82984363 -0.7219878 -0.48855566 -0.45561214 0.22491245 1.40234528 -1.31313104 0.15094166], Predicted=[0.71289056 0.28710944] X=[ 1.59426511 -0.47865728 -0.36519658 -0.90532952 0.05619604 0.68754127 1.14462409 -0.24322079 -0.38590965 0.08897337 -0.2553989 ], Predicted=[0.85877605 0.14122395] X=[-0.89452915 0.01745194 -0.28255704 0.26788414 -0.67621228 -0.13572658 0.01504558 -0.35691029 0.21017533 -0.26155273 0.394746 ], Predicted=[0.67957808 0.32042192] X=[ 2.30534919 -0.87554465 -0.28255704 -0.27435747 -0.81353884 -0.07692173 -0.43207925 -0.53747597 -1.64431127 -0.17392121 0.55728222], Predicted=[0.54988326 0.45011674] X=[ 8.83181037e-01 -7.76322810e-01 -6.13115201e-01 -3.13793220e-01 -5.84661239e-01 -5.47360505e-01 -1.46752623e+00 -1.09254824e+00 -1.37938461e+00 1.34184656e-03 1.45123145e+00], Predicted=[0.39106818 0.60893182] X=[ 0.64615301 -1.22282111 0.04800112 -0.80674014 -0.035355 2.2458697 1.78001201 -0.2097827 -0.05475133 1.05292016 -0.49920323], Predicted=[0.78340214 0.21659786] X=[ 0.17209696 -0.0817699 1.20495468 -0.05746082 -0.17268156 1.45200427 1.07402544 0.5459181 0.077712 0.08897337 -0.90554379], Predicted=[0.93408407 0.06591593] X=[ 1.71277913 1.30733592 1.45287331 -0.86589377 0.01042052 -1.4294332 1.61528181 -0.34353506 -1.11445795 0.527131 0.71981845], Predicted=[0.93988204 0.06011796] X=[-0.53898711 1.95227791 -2.26590601 -1.06307253 -0.7219878 -1.54704289 -0.17321751 -1.21292535 -1.44561627 -1.75128867 0.23220977], Predicted=[0.94530889 0.05469111] X=[ 1.35723709 -0.37943543 -0.03463842 -1.02363678 -0.08113052 -0.42975081 -0.87920408 -1.2296444 -1.04822629 -0.52444731 1.61376767], Predicted=[0.59564472 0.40435528] X=[ 0.40912499 0.61278301 0.04800112 1.22420116 0.10197156 -1.66465259 -2.29117723 0.05772201 0.01148034 -0.78734189 0.96362278], Predicted=[0.59252827 0.40747173] X=[-1.3685852 -0.67710097 -0.69575474 -1.04335466 -0.4931102 -0.5473605 -1.3498618 -1.27980153 0.8062603 0.26423642 0.71981845], Predicted=[0.58685926 0.41314074] X=[-1.48709922 -0.9747665 -0.28255704 0.75097212 -0.81353884 -0.42975081 -0.17321751 0.45897907 1.99843026 -0.61207884 0.23220977], Predicted=[0.64596252 0.35403748] X=[ 0.29061097 -0.18099175 1.28759423 -0.82645801 -0.63043676 -0.25333627 -0.59680945 -1.24636344 1.20365029 -0.61207884 1.93884012], Predicted=[0.37362743 0.62637257] X=[ 1.83129314 -0.9747665 0.70911744 -0.25463959 -0.44733468 -1.66465259 -1.44399334 -0.04259226 -0.18721466 0.26423642 0.96362278], Predicted=[0.65793024 0.34206976] X=[-0.53898711 -0.0817699 1.28759423 0.1791537 0.01042052 1.04037035 1.59174892 0.52585524 0.34263866 -0.52444731 -1.06808001], Predicted=[0.94716692 0.05283308] X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852] X=[-0.30195909 -1.17321019 0.04800112 -1.04335466 -0.40155916 0.33471219 -0.54974368 -1.3801158 -1.18068962 1.66634084 1.20742712], Predicted=[0.48855314 0.51144686] X=[-0.53898711 -1.37165388 -0.44783612 0.29746096 0.51395124 -0.84138474 -1.32632891 0.07444105 0.47510198 -1.13786799 -0.41793512], Predicted=[0.81917885 0.18082115] X=[-4.20473102e-01 -1.37165388e+00 -3.46384190e-02 2.38307327e-01 1.93522599e-01 1.04037035e+00 1.19168986e+00 8.60236126e-01 4.08870320e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.93525612 0.06474388] X=[ 1.00169505 0.61278301 -0.44783612 0.90871513 -0.2642326 -0.25333627 -0.50267791 1.3785265 0.54133365 -1.75128867 -1.06808001], Predicted=[0.95118401 0.04881599] X=[-0.4204731 -0.0817699 -1.19159198 -0.43210048 0.01042052 -1.72345743 -0.57327657 0.49241715 0.40887032 -1.22549952 -1.55568868], Predicted=[0.9806591 0.0193409] X=[-0.65750113 3.19255096 0.87439652 0.90871513 0.1935226 0.86395581 2.50953147 1.06086466 0.01148034 0.70239405 -0.9868119 ], Predicted=[0.98317103 0.01682897] X=[ 0.17209696 0.8112267 -0.69575474 -0.13633233 -1.4086206 -1.25301866 -1.53812488 -1.47039863 -2.43909123 0.87765711 2.18264446], Predicted=[0.37062488 0.62937512] X=[-0.30195909 1.00967039 0.2132802 0.55379335 0.69705332 0.39351704 1.78001201 1.19461701 0.8062603 0.61476253 -0.90554379], Predicted=[0.97058078 0.02941922] X=[ 1.4757511 0.11667379 1.28759423 0.13971794 -0.17268156 -0.78257989 -0.33794771 0.12459818 -0.31967798 -0.69971036 0.23220977], Predicted=[0.83543655 0.16456345] X=[ 0.17209696 -1.07398834 0.29591974 -0.13633233 -0.9508654 -0.37094597 -0.64387523 -0.07603035 0.077712 0.00134185 0.23220977], Predicted=[0.70235512 0.29764488] X=[ 0.40912499 0.11667379 0.54383836 0.23830733 -0.99664092 1.21678489 0.90929523 -0.41041123 -0.98199462 -1.48839409 0.80108656], Predicted=[0.67134994 0.32865006] X=[ 0.29061097 0.11667379 -0.28255704 1.89460897 -0.44733468 1.33439458 1.47408449 1.84331592 0.74002864 1.57870931 -1.23061624], Predicted=[0.81930777 0.18069223] X=[-0.30195909 -0.67710097 -0.36519658 -0.90532952 -0.90508988 -0.01811689 -0.24381617 -0.73476069 1.20365029 -0.08628968 0.55728222], Predicted=[0.61188428 0.38811572] X=[ 1.83129314 -0.57787912 -0.28255704 -1.0039189 -0.35578364 0.56993158 -0.38501348 -0.75147973 -0.38590965 0.43949948 0.23220977], Predicted=[0.62973761 0.37026239] X=[-1.01304317 2.15072159 -0.53047566 -0.27435747 5.09150323 -1.07660412 -0.22028328 -0.02252941 -1.04822629 -1.13786799 -0.9868119 ], Predicted=[0.99799789 0.00200211] X=[-0.77601514 0.11667379 -0.11727796 -0.55040774 -0.90508988 0.2171025 -0.00848731 -1.61418241 0.8062603 -1.05023647 2.10137634], Predicted=[0.27393814 0.72606186] X=[-0.06493106 0.21589563 -0.36519658 -0.03774295 -0.9508654 -0.37094597 -1.0204014 -1.10926728 -1.04822629 -1.48839409 1.93884012], Predicted=[0.47251633 0.52748367] X=[-0.65750113 -0.57787912 0.04800112 -1.02363678 -0.44733468 -0.19453143 -0.99686851 -1.47708625 -0.8495313 2.19213 0.88235467], Predicted=[0.51146186 0.48853814] X=[ 0.76466702 0.31511748 -0.77839428 0.13971794 -0.67621228 -0.42975081 0.06211135 -0.0191856 -0.18721466 -0.96260494 0.06967355], Predicted=[0.79697415 0.20302585] X=[-0.77601514 -0.28021359 1.70079193 0.12000007 0.01042052 1.33439458 0.88576235 0.17141151 0.01148034 1.84160389 -0.09286267], Predicted=[0.8300648 0.1699352] X=[-0.89452915 -0.0817699 -0.03463842 -0.82645801 -1.13396748 -0.5473605 -0.50267791 -1.81481094 -0.45214131 -1.66365715 1.61376767], Predicted=[0.48340123 0.51659877] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[ 0.05358295 -0.87554465 0.54383836 -0.98420103 -0.44733468 -1.25301866 -1.96171683 -1.04573491 -0.71706797 1.66634084 0.80108656], Predicted=[0.63415698 0.36584302] X=[-1.13155718 1.20811407 -0.11727796 -0.0771787 -0.53888572 0.86395581 -0.26734905 -0.67791594 2.13089358 0.79002558 1.61376767], Predicted=[0.39452453 0.60547547] X=[ 0.17209696 -0.47865728 -0.03463842 -0.11661445 -0.2642326 -0.60616535 -0.05555308 0.32522671 0.01148034 0.79002558 -0.82427568], Predicted=[0.89903704 0.10096296] X=[ 1.71277913 -0.9747665 -0.28255704 -1.04335466 -0.58466124 -0.90018958 -1.91465106 -0.98220254 -1.11445795 0.1766049 0.394746 ], Predicted=[0.62714025 0.37285975] X=[-0.06493106 -0.28021359 -0.53047566 0.8495615 1.38368612 0.68754127 0.36803886 0.89367421 -0.91576296 -0.96260494 -1.23061624], Predicted=[0.964955 0.035045] X=[-0.4204731 -0.87554465 -1.93534784 -1.0039189 0.01042052 -0.72377504 -0.73800677 -0.10946844 0.67379698 -0.34918426 -0.41793512], Predicted=[0.91484978 0.08515022] X=[ 0.17209696 0.8112267 0.13064066 -0.76730438 0.10197156 1.8636382 0.53276906 -0.85848162 -0.91576296 0.61476253 0.47601411], Predicted=[0.80051786 0.19948214] X=[-0.89452915 -0.28021359 1.20495468 1.85517321 0.28507364 -0.60616535 -1.04393428 1.2681808 -0.78329963 -0.34918426 -1.06808001], Predicted=[0.93442475 0.06557525] X=[-0.65750113 0.01745194 -0.36519658 0.08056431 0.23929812 0.27590734 0.10917712 -0.0960932 1.60104027 0.87765711 0.394746 ], Predicted=[0.65641112 0.34358888] X=[-0.53898711 0.91044854 0.29591974 -0.30393428 -0.21845708 0.24650492 1.83884422 0.09784771 -0.58460464 0.08897337 -0.58047134], Predicted=[0.96329233 0.03670767] X=[ 2.18683518 -1.27243203 -0.28255704 -0.94476527 0.01042052 -0.37094597 -0.1967504 0.05772201 0.21017533 -0.96260494 -0.58047134], Predicted=[0.8786881 0.1213119] X=[ 0.527639 -0.9747665 -0.1999175 2.15094136 0.4224002 -0.19453143 1.37995295 2.06400731 -0.38590965 -0.26155273 -1.23061624], Predicted=[0.92744385 0.07255615] X=[ 0.29061097 1.10889223 -0.28255704 0.69181849 -0.40155916 -0.37094597 -0.33794771 0.03765915 -0.78329963 -0.61207884 0.31347789], Predicted=[0.8122967 0.1877033] X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228 0.27590734 -0.57327657 -1.079173 1.53480861 -0.78734189 0.394746 ], Predicted=[0.6482102 0.3517898] X=[-0.30195909 0.8112267 -0.77839428 -1.08279041 -0.35578364 -1.19421382 -1.56165777 -1.12598632 0.27640699 -0.87497341 0.394746 ], Predicted=[0.82883329 0.17116671] X=[ 0.17209696 -0.9747665 1.28759423 -0.21520384 -0.2642326 -0.07692173 -0.31441482 -0.87854447 0.34263866 -0.78734189 1.36996334], Predicted=[0.44138579 0.55861421] X=[ 0.17209696 -0.57787912 -0.6131152 -0.70815075 -0.44733468 0.51112673 -0.14968462 -1.08586062 1.0049553 -0.69971036 1.20742712], Predicted=[0.3953519 0.6046481] X=[-1.48709922 1.40655776 0.04800112 -0.78702226 -1.08819196 -0.07692173 -0.97333563 -1.63090146 0.21017533 -0.96260494 1.85757201], Predicted=[0.58158577 0.41841423] X=[ 0.17209696 0.41433932 -0.36519658 -0.29407534 -0.44733468 0.33471219 0.27390732 -0.78491782 1.26988195 -0.52444731 1.36996334], Predicted=[0.44823889 0.55176111] X=[ 0.29061097 -0.77632281 -0.1999175 0.09042325 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=[0.86193466 0.13806534] X=[ 0.40912499 1.20811407 -0.77839428 0.41576822 0.4224002 0.56993158 0.29744021 0.74654663 0.077712 0.26423642 -1.06808001], Predicted=[0.9472966 0.0527034] X=[-0.06493106 0.91044854 2.77510595 -0.96448315 5.91546259 -1.13540897 -0.94980274 -0.53078835 -0.8495313 0.61476253 -0.17413078], Predicted=[0.99482769 0.00517231] X=[-1.60561323 -1.17321019 -0.1999175 -1.02363678 -0.90508988 -0.25333627 -1.65578931 -1.41355388 0.93872363 -0.43681578 0.92298872], Predicted=[0.47361822 0.52638178] X=[-1.3685852 -0.18099175 -0.77839428 2.24953075 0.60550228 -0.72377504 -0.33794771 1.23808652 0.74002864 0.08897337 -0.33666701], Predicted=[0.78124192 0.21875808] X=[ 0.64615301 -1.27243203 0.70911744 -0.9250474 -0.035355 0.80515096 0.36803886 -0.67791594 -1.24692128 0.96528863 -0.09286267], Predicted=[0.79108271 0.20891729] X=[-0.18344508 -0.67710097 1.28759423 -0.98420103 0.05619604 -0.31214112 -0.57327657 -0.87854447 -1.77677459 -0.61207884 0.23220977], Predicted=[0.91567232 0.08432768] X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065] X=[-0.77601514 -1.27243203 1.0396756 -0.94476527 -0.31000812 0.15829765 -0.3614806 -0.34353506 1.26988195 0.1766049 -0.66173945], Predicted=[0.84853997 0.15146003] X=[ 0.64615301 -0.18099175 -0.1999175 -0.78702226 -0.12690604 1.33439458 0.93282812 0.02428392 1.53480861 1.66634084 0.06967355], Predicted=[0.73664145 0.26335855] X=[ 0.29061097 1.10889223 3.76678043 -0.98420103 6.78519746 -0.72377504 -1.13806583 -0.63779023 -0.12098299 -0.26155273 -0.01159456], Predicted=[0.99466511 0.00533489] X=[ 0.29061097 -0.18099175 -0.28255704 -0.86589377 -0.67621228 -1.31182351 -0.24381617 -0.7782302 0.01148034 0.00134185 0.71981845], Predicted=[0.74648806 0.25351194] X=[ 2.06832116 -0.9747665 -0.44783612 -1.10250829 -0.63043676 -0.60616535 -1.42046046 -0.99892159 -1.31315295 -0.96260494 0.47601411], Predicted=[0.67108308 0.32891692] X=[-2.3166973 0.66239393 0.04800112 -1.06307253 1.01748196 -0.19453143 0.10917712 -0.88523209 0.34263866 -0.78734189 -0.33666701], Predicted=[0.96648699 0.03351301] X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525] X=[-0.89452915 -0.57787912 0.37855928 -0.70815075 4.49642147 -1.37062835 -1.72638797 -1.079173 -1.5780796 1.31581474 0.71981845], Predicted=[0.94665304 0.05334696] X=[ 1.12020906 -0.77632281 -0.77839428 -0.94476527 -0.90508988 -0.5473605 1.19168986 -1.01229682 -0.71706797 2.19213 1.28869523], Predicted=[0.41950548 0.58049452] X=[ 0.05358295 2.10111067 -0.77839428 -1.02363678 0.14774708 -1.31182351 -0.31441482 -0.27665888 -0.12098299 0.1766049 -0.90554379], Predicted=[0.97908815 0.02091185] X=[-1.3685852 -0.28021359 -0.53047566 0.86927938 0.1935226 1.33439458 -0.5262108 0.63285713 -0.58460464 0.08897337 -0.58047134], Predicted=[0.89580571 0.10419429] X=[-1.84264125 -1.17321019 0.46119882 -1.06307253 -0.81353884 0.27590734 -0.87920408 -0.82504353 2.52828357 0.87765711 0.06967355], Predicted=[0.57347933 0.42652067] X=[ 1.59426511 -0.57787912 0.2132802 0.08056431 -0.53888572 -1.37062835 -1.13806583 0.12459818 -1.18068962 -0.96260494 -0.01159456], Predicted=[0.84577742 0.15422258] X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534] X=[-1.01304317 0.41433932 1.0396756 -0.96448315 0.1935226 1.21678489 1.19168986 -0.31678458 0.34263866 0.00134185 -0.74300757], Predicted=[0.95726154 0.04273846] X=[ 0.05358295 0.71200485 3.35358273 -1.06307253 -0.08113052 -1.01779928 -0.14968462 -0.67791594 -0.38590965 0.527131 -0.2553989 ], Predicted=[0.94754653 0.05245347] X=[-3.62035144 0.31511748 -2.59646417 0.92843301 -0.44733468 -0.90018958 -0.57327657 -0.51741311 3.72045352 -0.43681578 1.53249956], Predicted=[0.24505501 0.75494499] X=[-1.25007119 -0.57787912 -0.36519658 -1.08279041 -0.53888572 -0.07692173 -1.16159871 -1.56068147 -0.31967798 -1.13786799 0.47601411], Predicted=[0.69652554 0.30347446] X=[ 0.40912499 -0.37943543 0.54383836 2.25938968 0.14774708 0.86395581 1.09755832 1.99713113 1.0049553 -0.61207884 -0.74300757], Predicted=[0.84110146 0.15889854] X=[ 0.40912499 0.41433932 1.12231514 -0.25463959 -0.08113052 -0.95899443 -1.72638797 -1.01229682 -1.04822629 -0.69971036 1.69503579], Predicted=[0.65255136 0.34744864] X=[-1.25007119 -0.18099175 -0.77839428 0.55379335 -0.08113052 1.15798004 0.32097309 0.69304568 0.8062603 -0.96260494 -0.90554379], Predicted=[0.91435859 0.08564141] X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396] X=[-0.77601514 1.50577961 1.28759423 0.00169281 -0.035355 -1.37062835 -0.54974368 0.75992186 0.54133365 0.70239405 -1.23061624], Predicted=[0.98404527 0.01595473] X=[-0.06493106 0.41433932 -1.27423152 0.21858945 -0.21845708 2.09885758 1.99180798 0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=[0.94650108 0.05349892] X=[ 0.40912499 -0.28021359 -0.44783612 1.57912294 0.4224002 1.15798004 1.56821604 1.52899789 -0.45214131 -0.96260494 -1.23061624], Predicted=[0.9359458 0.0640542] X=[-0.89452915 0.21589563 1.12231514 -0.98420103 0.14774708 0.86395581 1.14462409 -0.44384932 0.01148034 -0.34918426 -0.82427568], Predicted=[0.9581779 0.0418221] X=[-1.48709922 0.61278301 -1.93534784 -1.0039189 -0.67621228 -0.90018958 -1.65578931 -1.14604918 1.13741862 0.1766049 0.55728222], Predicted=[0.69582489 0.30417511] X=[-0.77601514 -0.47865728 0.2132802 2.13122349 -0.31000812 0.09949281 -0.1967504 1.81656545 0.27640699 -0.52444731 -1.39315246], Predicted=[0.91200091 0.08799909] X=[-0.06493106 1.95227791 -0.03463842 -0.48139517 0.05619604 -1.13540897 -1.3498618 -1.38680341 0.27640699 0.35186795 2.34518068], Predicted=[0.50802824 0.49197176] X=[-1.01304317 0.91044854 -0.11727796 -1.06307253 0.33084916 -0.25333627 1.88590999 -0.54416359 0.67379698 2.01686694 -0.58047134], Predicted=[0.93270567 0.06729433] X=[-0.65750113 -0.47865728 -0.03463842 0.10028219 0.28507364 -0.72377504 -0.47914502 -0.07603035 0.27640699 -0.26155273 -0.09286267], Predicted=[0.84366311 0.15633689] X=[-0.89452915 -0.37943543 -0.53047566 1.00730452 0.1935226 0.92276066 -0.12615174 0.2449753 0.21017533 -1.05023647 0.23220977], Predicted=[0.71496251 0.28503749] X=[-0.06493106 0.41433932 -0.44783612 -0.31379322 -0.53888572 -0.60616535 -0.90273697 -1.25973868 -0.71706797 -0.17392121 1.53249956], Predicted=[0.48683154 0.51316846] X=[-0.30195909 -0.28021359 -0.11727796 -0.15605021 -0.31000812 -1.19421382 -1.65578931 -0.80163687 -1.51184794 0.26423642 0.47601411], Predicted=[0.7427347 0.2572653] X=[ 0.05358295 1.40655776 -1.10895244 1.77630171 -0.12690604 1.27558973 1.47408449 1.48887219 -0.71706797 0.43949948 -0.90554379], Predicted=[0.92637939 0.07362061] X=[-0.77601514 0.8112267 -1.60478968 0.49463972 -0.44733468 0.15829765 0.39157175 0.73317139 0.54133365 0.08897337 -0.90554379], Predicted=[0.92675291 0.07324709] X=[-0.65750113 -0.18099175 1.28759423 -0.96448315 0.28507364 -0.07692173 -0.10261885 -0.54416359 -1.31315295 1.05292016 -0.58047134], Predicted=[0.9527033 0.0472967] X=[ 0.64615301 1.20811407 0.6264779 1.51996931 0.33084916 0.09949281 1.30935429 1.61593692 0.077712 1.22818321 -0.90554379], Predicted=[0.94113235 0.05886765] X=[ 0.17209696 -0.67710097 0.04800112 0.41576822 -0.58466124 -0.25333627 2.69779455 0.42554098 0.21017533 0.61476253 -0.01159456], Predicted=[0.78834546 0.21165454] X=[-0.30195909 -1.07398834 -0.28255704 -1.04335466 -0.67621228 -1.31182351 -1.53812488 -1.02901587 -0.12098299 0.79002558 0.394746 ], Predicted=[0.66265975 0.33734025] X=[-0.4204731 -0.18099175 -0.77839428 0.86927938 -0.17268156 0.68754127 -0.1967504 0.6596076 -0.71706797 -0.78734189 -0.33666701], Predicted=[0.88520887 0.11479113] X=[ 0.40912499 1.10889223 2.36190825 0.90871513 0.05619604 1.80483335 0.93282812 1.19461701 -0.18721466 0.08897337 -1.47442057], Predicted=[0.96389265 0.03610735] X=[ 0.29061097 2.10111067 -0.94367336 -0.86589377 0.05619604 6.53862349 3.98033683 -0.54416359 0.34263866 -1.05023647 0.394746 ], Predicted=[0.82896609 0.17103391] X=[-0.06493106 -1.47087572 0.46119882 -0.98420103 -0.53888572 -0.95899443 -0.8556712 -0.94207684 0.27640699 0.96528863 0.63855033], Predicted=[0.57607186 0.42392814] X=[ 0.527639 0.11667379 -0.36519658 -0.35322897 -0.76776332 -0.48855566 0.39157175 -0.31009697 -0.78329963 -2.01418325 0.06967355], Predicted=[0.89194997 0.10805003] X=[-0.4204731 -0.87554465 -0.53047566 -0.29407534 -0.40155916 -1.31182351 -0.87920408 -0.81166829 -0.12098299 -0.69971036 1.04489089], Predicted=[0.61204339 0.38795661] X=[-1.01304317 -0.28021359 -0.44783612 0.2580252 0.33084916 0.09949281 -0.14968462 0.28844481 -0.8495313 0.08897337 -0.90554379], Predicted=[0.94234647 0.05765353] X=[-0.53898711 0.11667379 -1.0263129 0.6425238 -0.21845708 0.04068796 -0.45561214 -0.22984555 -1.31315295 -1.31313104 0.34056725], Predicted=[0.79054732 0.20945268] X=[ 0.17209696 -0.77632281 0.04800112 -0.84617589 0.14774708 -1.37062835 -0.05555308 -0.61103976 0.40887032 -0.26155273 0.88235467], Predicted=[0.78723108 0.21276892] X=[ 1.23872307 -0.57787912 0.37855928 0.31717883 -0.12690604 0.62873642 0.32097309 -0.2097827 -0.45214131 -1.48839409 0.80108656], Predicted=[0.61169589 0.38830411] X=[-0.53898711 0.01745194 -0.36519658 -0.94476527 0.28507364 -0.07692173 -0.26734905 -0.37697314 1.93219859 0.61476253 -0.01159456], Predicted=[0.82555222 0.17444778] X=[ 0.29061097 -1.07398834 0.37855928 0.19887157 0.28507364 0.80515096 1.02695966 0.59273142 1.07118696 0.26423642 -0.74300757], Predicted=[0.83531065 0.16468935] X=[ 0.64615301 -0.67710097 3.84941997 1.16504753 -0.35578364 2.45168666 1.05049255 1.25480557 -1.5780796 -0.08628968 -1.23061624], Predicted=[0.93969172 0.06030828] X=[-0.53898711 -0.87554465 0.13064066 0.75097212 -0.12690604 0.27590734 -0.76153965 0.76660948 -0.18721466 0.08897337 -0.66173945], Predicted=[0.87592118 0.12407882] X=[ 1.00169505 -0.0817699 0.04800112 -0.90532952 -0.81353884 -0.5473605 0.69749926 -0.97885873 -1.31315295 -0.08628968 1.28869523], Predicted=[0.71083356 0.28916644] X=[ 0.40912499 1.20811407 0.37855928 -0.82645801 -0.7219878 0.27590734 -0.690941 -1.09589204 0.54133365 -0.26155273 1.69503579], Predicted=[0.56348622 0.43651378] X=[-0.4204731 0.3647284 -1.10895244 0.04112856 -0.21845708 -1.54704289 -0.29088194 0.30516386 -1.64431127 0.1766049 -1.39315246], Predicted=[0.97447547 0.02552453] X=[ 1.4757511 -1.07398834 0.87439652 1.51996931 0.33084916 0.45232188 0.15624289 2.19775966 0.60756531 2.27976152 -1.39315246], Predicted=[0.8818556 0.1181444] X=[ 0.527639 -0.37943543 0.46119882 -0.55040774 -0.99664092 -0.01811689 -0.5262108 -0.41041123 -0.12098299 0.1766049 0.31347789], Predicted=[0.72180187 0.27819813] X=[ 0.05358295 -0.47865728 0.37855928 0.37633246 0.05619604 0.68754127 0.55630195 0.45897907 1.0049553 0.26423642 -0.01159456], Predicted=[0.76804255 0.23195745] X=[-6.49310643e-02 1.74519434e-02 2.13280202e-01 1.20000067e-01 -1.26906040e-01 1.45200427e+00 1.61528181e+00 5.12480007e-01 -1.87214657e-01 1.34184656e-03 -7.43007566e-01], Predicted=[0.92632824 0.07367176] X=[-0.06493106 -0.18099175 0.04800112 1.71714808 0.6512778 0.39351704 0.55630195 1.01070752 0.34263866 0.26423642 -0.01159456], Predicted=[0.74354703 0.25645297] X=[-0.18344508 1.20811407 -0.94367336 0.47492185 0.28507364 -0.6649702 -0.59680945 0.57935618 0.21017533 -0.34918426 -0.90554379], Predicted=[0.94879211 0.05120789] X=[ 0.05358295 -0.87554465 0.13064066 -0.9250474 -0.44733468 -0.13572658 -0.87920408 -0.29337792 0.14394366 0.43949948 0.23220977], Predicted=[0.82896009 0.17103991] X=[-1.25007119 -0.87554465 -0.03463842 -0.43210048 -0.35578364 0.80515096 -0.12615174 -0.98889016 -0.18721466 -0.61207884 0.63855033], Predicted=[0.63586959 0.36413041] X=[-0.53898711 0.01745194 0.2132802 -1.0039189 0.33084916 -0.42975081 1.12109121 -0.64113404 0.8062603 -0.34918426 0.23220977], Predicted=[0.89261393 0.10738607] X=[-0.65750113 -0.28021359 -0.53047566 0.04112856 0.37662468 0.27590734 0.46217041 -0.08271797 0.077712 -0.08628968 -0.17413078], Predicted=[0.85273067 0.14726933] X=[-0.53898711 -0.37943543 -0.44783612 1.00730452 0.1935226 -0.07692173 0.57983483 0.96055039 0.8062603 -0.34918426 -0.82427568], Predicted=[0.88874507 0.11125493] X=[ 1.00169505 -0.0817699 2.27926871 1.1058939 0.01042052 1.68722366 0.95636101 1.39524554 -0.78329963 -0.26155273 -1.31188435], Predicted=[0.94975274 0.05024726] X=[-0.65750113 -0.23060267 0.29591974 -1.04335466 -0.2642326 0.09949281 -0.57327657 -1.17948726 -1.24692128 -0.87497341 0.31347789], Predicted=[0.86464978 0.13535022] X=[-0.4204731 -0.9747665 -0.1999175 -0.9250474 -0.08113052 -0.31214112 -0.26734905 -0.41041123 1.99843026 0.08897337 -0.2553989 ], Predicted=[0.76284089 0.23715911] X=[-0.53898711 0.71200485 -0.44783612 1.22420116 -0.31000812 -0.95899443 -0.33794771 0.45563526 0.077712 -0.52444731 0.06967355], Predicted=[0.80636999 0.19363001] X=[-0.65750113 0.8112267 1.37023377 0.37633246 0.33084916 0.92276066 1.49761738 0.49241715 0.077712 0.1766049 -0.74300757], Predicted=[0.950344 0.049656] X=[ 1.4757511 0.8112267 2.11398963 1.42137993 0.23929812 1.45200427 -0.10261885 1.61593692 -1.51184794 -0.87497341 -1.47442057], Predicted=[0.97349939 0.02650061] X=[-1.3685852 -0.28021359 -0.53047566 1.00730452 -0.2642326 -0.6649702 -0.43207925 0.02762773 0.93872363 -1.57602562 0.23220977], Predicted=[0.67645306 0.32354694] X=[ 0.05358295 1.60500145 0.70911744 0.41576822 0.10197156 -1.48823805 0.20330866 1.12774083 0.87249197 -0.26155273 -0.82427568], Predicted=[0.980182 0.019818] X=[ 0.40912499 -1.27243203 0.37855928 -1.02363678 -0.35578364 -1.01779928 -0.66740811 -0.7782302 0.01148034 -0.52444731 0.47601411], Predicted=[0.753586 0.246414] X=[ 0.29061097 1.60500145 2.36190825 1.06645815 -0.08113052 0.9815655 0.32097309 1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=[0.9718114 0.0281886] X=[ 0.05358295 -0.28021359 -0.77839428 -0.55040774 0.51395124 -1.31182351 -1.25573025 0.05772201 -1.31315295 -0.08628968 -0.82427568], Predicted=[0.96922466 0.03077534] X=[ 0.76466702 0.71200485 -0.44783612 0.63266486 0.23929812 -0.5473605 0.43863752 0.96055039 -0.45214131 0.35186795 -1.06808001], Predicted=[0.95363824 0.04636176] X=[ 0.17209696 1.80344514 0.46119882 -0.03774295 -0.31000812 0.62873642 0.57983483 -0.41041123 0.14394366 -1.22549952 1.36996334], Predicted=[0.79637175 0.20362825] X=[-1.25007119e+00 -9.74766499e-01 2.95919742e-01 -1.02363678e+00 -4.47334679e-01 -9.58994430e-01 -1.51459200e+00 -1.83821761e+00 -6.50836305e-01 1.34184656e-03 1.77630390e+00], Predicted=[0.45686433 0.54313567] X=[-0.18344508 0.21589563 0.95703606 0.82984363 -0.63043676 1.21678489 1.73294624 0.99398848 0.21017533 0.87765711 -0.82427568], Predicted=[0.89317771 0.10682229] X=[ 1.83129314 0.8112267 0.2132802 0.92843301 -0.63043676 -0.84138474 -0.14968462 -0.30006554 -1.5780796 -0.87497341 2.02010823], Predicted=[0.45760638 0.54239362] X=[-0.30195909 0.21589563 -0.28255704 -0.31379322 5.68658499 1.45200427 0.65043349 0.19147436 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.99086722 0.00913278] X=[ 0.88318104 0.51356116 0.2132802 -0.84617589 -0.53888572 -0.5473605 0.79163081 0.12459818 1.53480861 -0.08628968 -0.01159456], Predicted=[0.89487396 0.10512604] X=[-6.57501128e-01 4.13515848e+00 1.78343147e+00 1.28335479e+00 4.68175718e-01 1.33439458e+00 2.67426167e+00 1.34843222e+00 6.73796976e-01 1.34184656e-03 -1.47442057e+00], Predicted=[0.99003778 0.00996222] X=[ 1.35723709 -0.47865728 -0.44783612 -0.72786863 0.10197156 0.80515096 0.62690061 0.39210289 0.47510198 2.01686694 -0.82427568], Predicted=[0.87559177 0.12440823] X=[ 0.64615301 -0.77632281 10.95642044 -0.84617589 -1.08819196 -0.07692173 -0.59680945 -0.79494925 0.47510198 0.527131 1.36996334], Predicted=[0.73179898 0.26820102] X=[-0.53898711 -1.07398834 -0.53047566 0.69181849 0.05619604 -0.5473605 -0.87920408 0.64623236 1.0049553 0.08897337 -0.49920323], Predicted=[0.78979892 0.21020108] X=[ 0.17209696 0.41433932 -0.53047566 0.13971794 -0.85931436 0.09949281 -0.38501348 -0.79494925 -0.25344632 0.96528863 1.69503579], Predicted=[0.32193443 0.67806557] X=[-0.65750113 -0.47865728 1.28759423 0.13971794 0.1935226 1.8636382 1.68588046 0.3586648 0.27640699 -1.31313104 -0.82427568], Predicted=[0.93205632 0.06794368] X=[-0.65750113 0.31511748 -0.28255704 0.71153637 0.01042052 0.80515096 1.73294624 0.72648377 3.65422186 0.527131 1.126159 ], Predicted=[0.53212823 0.46787177] X=[ 0.17209696 -0.67710097 -0.44783612 0.43548609 -0.035355 0.09949281 1.94474221 0.45897907 0.40887032 0.43949948 -0.09286267], Predicted=[0.79194611 0.20805389] X=[-0.18344508 0.21589563 3.35358273 -0.27435747 -0.35578364 -0.01811689 0.43863752 0.15803627 0.14394366 -0.26155273 -0.49920323], Predicted=[0.948122 0.051878] X=[ 1.12020906 -0.0817699 -0.44783612 -0.90532952 0.1935226 -0.84138474 -0.26734905 -0.2097827 -0.25344632 -0.43681578 -0.49920323], Predicted=[0.92891727 0.07108273] X=[-0.77601514 -0.37943543 -0.36519658 1.3622263 -0.31000812 0.80515096 -0.1967504 0.39210289 0.93872363 -0.26155273 0.394746 ], Predicted=[0.48887522 0.51112478] X=[ 0.29061097 1.00967039 -0.36519658 1.42137993 -0.21845708 -0.31214112 -0.0320202 0.19481817 -1.11445795 4.12002357 1.28869523], Predicted=[0.37170743 0.62829257] X=[-0.77601514 0.01745194 0.6264779 -0.27435747 -0.12690604 0.86395581 1.16815698 -0.2833465 0.27640699 1.31581474 0.23220977], Predicted=[0.79051017 0.20948983] X=[ 0.76466702 -0.37943543 -0.36519658 -1.04335466 0.01042052 -0.07692173 -1.27926314 -1.27980153 -0.98199462 -0.87497341 0.7604525 ], Predicted=[0.69447099 0.30552901] X=[ 0.40912499 -0.57787912 -0.77839428 -0.98420103 -0.21845708 -1.07660412 0.48570329 -0.69129117 0.40887032 0.35186795 0.55728222], Predicted=[0.74490108 0.25509892] X=[-0.89452915 0.21589563 1.86607101 -0.70815075 -0.08113052 0.68754127 0.95636101 -0.54416359 0.74002864 0.70239405 0.31347789], Predicted=[0.84336147 0.15663853] X=[ 1.23872307 0.51356116 -0.6131152 -1.02363678 -0.08113052 -0.72377504 -0.83213831 -0.27665888 0.01148034 0.43949948 -0.01159456], Predicted=[0.89248835 0.10751165] X=[-1.48709922 0.01745194 -0.53047566 -0.49125411 -0.12690604 0.9815655 0.46217041 -0.67122832 1.07118696 -0.43681578 0.15094166], Predicted=[0.76411941 0.23588059] X=[ 0.40912499 2.69644174 -2.01798739 -0.96448315 2.84850275 -1.13540897 0.29744021 -0.07603035 -0.78329963 0.70239405 -1.06808001], Predicted=[0.9945521 0.0054479] X=[ 3.60900333 2.10111067 -0.86103382 -0.78702226 1.88721684 -0.95899443 -0.54974368 0.25835054 -2.77024955 -0.43681578 -0.90554379], Predicted=[0.99202021 0.00797979] X=[-0.77601514 -0.67710097 -0.77839428 -1.02363678 0.23929812 -0.25333627 -1.0204014 -1.22630059 0.34263866 0.70239405 0.63855033], Predicted=[0.62741151 0.37258849] X=[ 0.05358295 0.21589563 0.2132802 -1.08279041 -0.40155916 0.27590734 0.41510463 -1.45367959 -0.71706797 -1.13786799 1.28869523], Predicted=[0.70190154 0.29809846] X=[-0.4204731 1.00967039 1.61815239 -0.98420103 4.40487043 -1.78226228 -1.63225643 -0.47728741 -0.31967798 0.26423642 -0.33666701], Predicted=[0.99231663 0.00768337] X=[-1.01304317 -1.47087572 0.2132802 -0.94476527 0.28507364 -0.72377504 -1.56165777 -1.43361674 -0.58460464 0.08897337 0.80108656], Predicted=[0.63657738 0.36342262] X=[-1.25007119 0.41433932 -0.44783612 -0.4123826 -0.63043676 0.62873642 -0.54974368 -1.52724338 -0.18721466 0.70239405 2.02010823], Predicted=[0.32232576 0.67767424] X=[ 1.4757511 -0.28021359 0.37855928 -0.51097199 0.23929812 -1.01779928 -0.22028328 -0.41041123 0.14394366 -0.96260494 0.80108656], Predicted=[0.76914692 0.23085308] X=[-0.89452915 0.51356116 -0.28255704 -0.668715 -0.44733468 -0.31214112 -0.33794771 -1.6074948 0.8062603 -0.78734189 2.10137634], Predicted=[0.38532721 0.61467279] X=[ 1.83129314 2.89488543 0.87439652 0.8495615 0.23929812 0.62873642 1.33288718 1.36180745 -0.25344632 0.1766049 -0.09286267], Predicted=[0.96838003 0.03161997] X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065] X=[-0.06493106 -1.17321019 -0.36519658 0.79040787 0.01042052 1.39319943 0.10917712 0.38541527 0.077712 -0.78734189 0.23220977], Predicted=[0.65698963 0.34301037] X=[-0.77601514 -0.18099175 -1.19159198 -0.58984349 0.14774708 0.68754127 0.79163081 -0.54416359 -0.31967798 -0.52444731 -0.09286267], Predicted=[0.87577484 0.12422516] X=[-0.4204731 -0.87554465 -0.28255704 -1.10250829 -0.12690604 -0.13572658 0.13271 -0.14290653 1.53480861 -0.87497341 -1.14934812], Predicted=[0.92841168 0.07158832] X=[ 1.83129314 0.11667379 -0.36519658 -1.05321359 -0.63043676 -1.84106713 -1.96171683 -1.079173 -1.84300626 -1.48839409 0.71981845], Predicted=[0.82058174 0.17941826] X=[-0.65750113 0.21589563 0.04800112 -0.94476527 0.14774708 -1.25301866 -0.14968462 -0.00915417 0.74002864 0.00134185 -0.82427568], Predicted=[0.96860519 0.03139481] X=[ 0.40912499 -0.9747665 0.95703606 -0.39266473 0.01042052 1.27558973 0.65043349 0.09116009 -0.38590965 1.14055168 0.55728222], Predicted=[0.79970989 0.20029011] X=[ 2.77940524 4.28399124 -0.86103382 -0.03774295 -0.17268156 -1.19421382 -1.06746717 0.25835054 -1.97546959 -1.31313104 -0.33666701], Predicted=[0.98241289 0.01758711] X=[-0.4204731 0.01745194 0.04800112 0.69181849 -0.35578364 -0.31214112 -0.12615174 0.45897907 -0.51837298 -0.43681578 -0.58047134], Predicted=[0.89804026 0.10195974] X=[ 0.88318104 2.00188883 0.29591974 -1.10250829 -0.40155916 -1.84106713 -0.90273697 -1.27980153 -1.04822629 -0.87497341 0.71981845], Predicted=[0.89284626 0.10715374] X=[ 0.88318104 0.31511748 -0.53047566 0.47492185 -1.13396748 1.27558973 0.41510463 0.1312858 -0.71706797 -0.96260494 0.394746 ], Predicted=[0.69549789 0.30450211] X=[ 0.05358295 -0.57787912 0.46119882 -0.0771787 -0.4931102 0.51112673 0.06211135 -0.93538922 -0.51837298 -1.40076257 1.61376767], Predicted=[0.47148334 0.52851666] X=[-1.25007119 1.20811407 0.70911744 -0.39266473 0.05619604 0.18770008 2.50953147 -0.10946844 0.40887032 0.70239405 -0.74300757], Predicted=[0.95826395 0.04173605] X=[-1.48709922 -0.28021359 -0.6131152 -0.55040774 -0.40155916 -1.01779928 -0.54974368 -1.21292535 1.53480861 0.08897337 1.69503579], Predicted=[0.40519628 0.59480372] X=[-0.77601514 0.61278301 -0.44783612 0.21858945 -0.53888572 0.27590734 1.37995295 0.27506958 -0.31967798 0.96528863 -0.66173945], Predicted=[0.91135533 0.08864467] X=[-0.06493106 -0.67710097 0.2132802 2.30868438 0.01042052 -0.19453143 -0.12615174 1.99713113 0.54133365 -0.08628968 -1.39315246], Predicted=[0.88046738 0.11953262] X=[-3.01959090e-01 -4.78657278e-01 -2.82557040e-01 -3.53228973e-01 6.51277798e-01 -3.70945966e-01 3.68038862e-01 -8.71856852e-01 2.76406991e-01 1.34184656e-03 1.36996334e+00], Predicted=[0.59905843 0.40094157] X=[-0.30195909 1.20811407 -0.11727796 -0.9250474 -0.4931102 0.2171025 -1.27926314 -1.02567206 2.6607469 -0.08628968 1.7763039 ], Predicted=[0.43831261 0.56168739] X=[ 0.64615301 -1.17321019 -0.53047566 1.79601958 0.1935226 -0.60616535 -0.07908597 1.46212172 -1.90923792 -0.52444731 -1.47442057], Predicted=[0.93107355 0.06892645] X=[-0.06493106 2.89488543 -0.36519658 -0.82645801 -0.2642326 -1.19421382 -1.44399334 -0.07603035 0.87249197 2.19213 -0.2553989 ], Predicted=[0.94807078 0.05192922] X=[-0.65750113 0.8112267 -0.44783612 -0.76730438 -0.4931102 -1.01779928 -1.53812488 -1.78806047 -0.58460464 -0.17392121 1.85757201], Predicted=[0.48802387 0.51197613] X=[ 1.23872307 -1.57009756 1.28759423 -0.23492171 0.14774708 -0.13572658 0.32097309 0.39210289 -0.05475133 -0.17392121 0.06967355], Predicted=[0.85558858 0.14441142] X=[ 0.05358295 -1.17321019 0.29591974 -0.90532952 -0.53888572 0.04068796 -1.0204014 -1.50718053 -1.71054293 0.87765711 1.20742712], Predicted=[0.46933946 0.53066054] X=[-0.89452915 -1.07398834 -0.53047566 -0.96448315 0.46817572 0.56993158 -0.07908597 -0.54416359 0.077712 -0.52444731 -0.2553989 ], Predicted=[0.89468561 0.10531439] X=[ 0.05358295 -0.28021359 0.13064066 0.55379335 -0.53888572 0.39351704 0.27390732 0.22491245 0.14394366 -1.13786799 0.80108656], Predicted=[0.71512359 0.28487641] X=[ 1.59426511 -0.9747665 0.37855928 -1.04335466 -0.2642326 0.33471219 -1.09100005 -1.13936156 -2.04170125 0.96528863 1.20742712], Predicted=[0.56526824 0.43473176] X=[-0.06493106 2.29955436 -0.28255704 -0.43210048 0.92593092 0.15829765 0.62690061 0.15803627 0.077712 -0.61207884 -1.14934812], Predicted=[0.98555224 0.01444776] X=[-0.30195909 1.10889223 0.46119882 1.08617602 0.51395124 0.92276066 1.94474221 1.49890361 0.47510198 0.1766049 -1.31188435], Predicted=[0.97387931 0.02612069] X=[ 0.40912499 -0.0817699 -0.44783612 1.73686595 0.01042052 -1.72345743 -2.29117723 0.87695517 -0.12098299 -0.87497341 0.31347789], Predicted=[0.72216344 0.27783656] X=[-0.77601514 -0.28021359 -0.1999175 -0.62927925 -0.7219878 -0.19453143 0.27390732 -1.29986438 -0.05475133 -1.57602562 1.20742712], Predicted=[0.6042702 0.3957298] X=[ 0.527639 -1.27243203 0.54383836 -0.86589377 0.1935226 -0.6649702 -1.09100005 -0.27665888 -0.31967798 -0.34918426 -0.01159456], Predicted=[0.88404494 0.11595506] X=[ 0.29061097 -0.28021359 -0.44783612 -1.02363678 -0.2642326 -0.25333627 -0.64387523 -0.76485497 -0.05475133 0.35186795 0.47601411], Predicted=[0.76491472 0.23508528] X=[-0.06493106 -0.37943543 0.29591974 0.20873051 -0.12690604 1.39319943 1.16815698 0.58938761 0.077712 0.08897337 -0.90554379], Predicted=[0.90827715 0.09172285] X=[-0.4204731 -1.07398834 -0.1999175 -0.96448315 -0.21845708 -0.07692173 -0.40854637 -1.03904729 -0.8495313 -0.26155273 -0.01159456], Predicted=[0.79409856 0.20590144] X=[-0.4204731 0.01745194 0.37855928 0.27774308 -0.67621228 1.09917519 1.82707778 -0.83173115 -1.04822629 -0.61207884 2.10137634], Predicted=[0.45899515 0.54100485] X=[-0.53898711 0.71200485 -0.44783612 -0.94476527 -0.40155916 -0.25333627 -0.59680945 -2.08565946 -0.45214131 -0.78734189 2.99532557], Predicted=[0.32637369 0.67362631] X=[-1.01304317 -0.47865728 -1.52215014 0.65238274 0.10197156 3.86300298 1.61528181 0.56263714 -0.91576296 -1.66365715 -1.14934812], Predicted=[0.91770973 0.08229027] X=[ 0.88318104 0.31511748 1.28759423 1.38194417 0.74282884 0.86395581 1.23875564 1.62931216 0.21017533 0.35186795 -1.23061624], Predicted=[0.94611321 0.05388679] X=[ 2.54237721 -0.57787912 1.28759423 0.79040787 0.10197156 0.9815655 1.33288718 1.56243598 0.8062603 -0.43681578 -0.2553989 ], Predicted=[0.86416394 0.13583606] X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566 -0.92626985 -0.44384932 0.01148034 -1.40076257 -0.58047134], Predicted=[0.89891155 0.10108845] X=[-1.96115527 0.91044854 -0.03463842 -1.02363678 -0.81353884 -1.31182351 -1.3498618 -1.27980153 1.20365029 -0.96260494 0.96362278], Predicted=[0.78983845 0.21016155] X=[ 1.35723709 1.70422329 0.2132802 0.47492185 -0.90508988 0.86395581 0.29744021 -0.44384932 -0.78329963 -2.10181478 1.7763039 ], Predicted=[0.58829263 0.41170737] X=[-2.19818329 -0.77632281 0.54383836 -0.88561164 -1.4086206 -0.90018958 -0.94980274 -1.44699197 1.20365029 0.527131 1.24806117], Predicted=[0.41987849 0.58012151] X=[ 0.29061097 -0.67710097 0.29591974 -0.78702226 -0.90508988 -0.72377504 -0.90273697 -1.24636344 -0.25344632 -0.96260494 0.71981845], Predicted=[0.56226007 0.43773993] X=[-0.18344508 -0.57787912 -0.94367336 -1.02363678 -0.35578364 -1.78226228 -0.33794771 -1.01898444 -0.58460464 -1.05023647 0.55728222], Predicted=[0.8352141 0.1647859] X=[-1.25007119 -0.37943543 0.87439652 -0.57012562 -0.76776332 -1.78226228 -0.690941 -0.91198256 2.26335691 -0.52444731 0.96362278], Predicted=[0.56100831 0.43899169] X=[-1.84264125 0.21589563 -1.10895244 -1.04335466 1.42946164 0.74634612 0.65043349 0.12459818 0.74002864 0.43949948 -1.47442057], Predicted=[0.98701633 0.01298367] X=[-0.06493106 0.21589563 -0.03463842 1.26363691 -0.21845708 1.45200427 0.69749926 0.85689232 -0.58460464 0.61476253 -0.58047134], Predicted=[0.82652932 0.17347068] X=[-1.48709922 0.16628471 -0.6131152 -1.04335466 -0.4931102 0.27590734 -0.8556712 -0.83173115 1.86596693 0.61476253 0.06967355], Predicted=[0.72907534 0.27092466] X=[-0.65750113 -1.17321019 0.54383836 -0.94476527 -0.58466124 1.39319943 0.22684155 -0.87854447 1.66727194 0.35186795 0.71981845], Predicted=[0.46183313 0.53816687] X=[ 1.94980715 -0.67710097 0.6264779 -0.4123826 -0.44733468 -0.6649702 -0.92626985 0.22491245 -0.05475133 0.35186795 -0.66173945], Predicted=[0.84202543 0.15797457] X=[ 0.40912499 -0.37943543 -0.36519658 -0.668715 -0.44733468 -1.07660412 -0.50267791 0.02762773 1.13741862 1.66634084 -0.33666701], Predicted=[0.80755381 0.19244619] X=[-0.18344508 0.71200485 1.20495468 0.47492185 0.46817572 -0.01811689 0.67396638 0.75323424 -0.98199462 -0.17392121 -0.90554379], Predicted=[0.97713358 0.02286642] X=[-2.19818329 -0.0817699 0.54383836 -1.02363678 1.38368612 0.39351704 -0.33794771 -0.6645407 0.87249197 -0.17392121 -0.33666701], Predicted=[0.9513653 0.0486347] X=[-0.06493106 -0.87554465 -0.03463842 -0.29407534 0.05619604 0.39351704 -0.1967504 -0.40037981 -0.45214131 0.61476253 0.394746 ], Predicted=[0.72139753 0.27860247] X=[-1.3685852 -0.28021359 -0.6131152 1.20448328 0.14774708 1.01096792 -0.43207925 0.9638942 -0.71706797 -0.34918426 -0.90554379], Predicted=[0.92878067 0.07121933] X=[ 0.88318104 0.61278301 0.46119882 0.23830733 -0.2642326 0.56993158 1.80354489 0.82679804 -0.51837298 0.35186795 -1.06808001], Predicted=[0.95576778 0.04423222] X=[-0.30195909 -0.37943543 -0.44783612 -0.90532952 -0.81353884 0.2171025 -0.14968462 -0.7381045 1.0049553 -0.26155273 0.71981845], Predicted=[0.65074355 0.34925645] X=[-0.4204731 -1.07398834 -0.03463842 -0.98420103 -0.81353884 -1.25301866 -0.92626985 -0.41041123 0.27640699 0.527131 -0.33666701], Predicted=[0.85352536 0.14647464] X=[ 1.4757511 -0.77632281 -0.44783612 -1.08279041 -1.04241644 0.80515096 -1.20866448 -1.13936156 -1.77677459 -1.13786799 0.47601411], Predicted=[0.65211778 0.34788222] X=[-0.89452915 -0.67710097 -0.28255704 -0.01802507 -0.31000812 0.68754127 -0.05555308 -1.11929871 0.54133365 -1.57602562 1.7763039 ], Predicted=[0.33535491 0.66464509] X=[ 0.88318104 -0.9747665 0.2132802 -0.78702226 0.14774708 0.15829765 -0.3614806 0.6596076 2.72697856 -0.26155273 -0.17413078], Predicted=[0.87024711 0.12975289] X=[-0.77601514 -0.37943543 -0.53047566 -0.68843288 -0.31000812 -0.31214112 -0.3614806 -1.48377387 -0.45214131 -1.05023647 1.85757201], Predicted=[0.51650358 0.48349642] X=[ 0.76466702 -0.18099175 0.37855928 -0.13633233 -1.13396748 -0.72377504 -0.31441482 -0.21647032 -0.38590965 1.14055168 0.47601411], Predicted=[0.6549411 0.3450589] X=[-0.4204731 1.50577961 -0.1999175 -0.55040774 0.01042052 -0.95899443 0.10917712 -1.27311391 -0.25344632 -1.31313104 1.20742712], Predicted=[0.79253043 0.20746957] X=[-0.77601514 -1.17321019 1.70079193 -0.98420103 3.67246211 0.09949281 -0.66740811 -0.27665888 0.27640699 -1.05023647 -1.31188435], Predicted=[0.98703747 0.01296253] X=[ 1.23872307 -1.17321019 -0.28255704 -0.31379322 -0.40155916 0.09949281 0.76809792 0.89367421 1.86596693 -0.43681578 -1.23061624], Predicted=[0.89177462 0.10822538] X=[-0.30195909 -1.27243203 0.04800112 -1.06307253 -0.40155916 0.56993158 -1.39692757 -1.51721196 -1.51184794 0.08897337 0.96362278], Predicted=[0.55888385 0.44111615] X=[ 5.35829483e-02 1.74519434e-02 -5.30475661e-01 -8.46175890e-01 -4.47334679e-01 3.93517038e-01 -4.08546368e-01 -4.77287409e-01 1.53480861e+00 1.34184656e-03 2.32209775e-01], Predicted=[0.71355527 0.28644473] X=[ 0.88318104 -0.18099175 -0.11727796 -1.0039189 0.10197156 -0.72377504 -1.46752623 -1.24636344 -1.51184794 -0.26155273 1.20742712], Predicted=[0.72000933 0.27999067] X=[-0.30195909 -0.57787912 0.04800112 1.02702239 0.1935226 1.39319943 0.03857846 0.41216574 0.21017533 -0.78734189 0.23220977], Predicted=[0.68412906 0.31587094] X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261] X=[-0.89452915 -0.87554465 0.29591974 -0.74758651 -0.21845708 -0.6649702 -0.92626985 -0.83507495 -0.05475133 0.08897337 0.31347789], Predicted=[0.7747473 0.2252527] X=[ 0.527639 -1.07398834 0.2132802 0.35661459 -0.81353884 0.51112673 -0.64387523 -0.4371617 -0.31967798 -0.69971036 1.53249956], Predicted=[0.3347545 0.6652455] X=[-0.18344508 -1.17321019 1.28759423 -0.78702226 0.01042052 1.27558973 1.14462409 0.39210289 2.85944189 2.80555068 -0.09286267], Predicted=[0.72576782 0.27423218] X=[-0.4204731 -0.57787912 0.95703606 0.31717883 0.33084916 0.9815655 1.35642006 0.62616951 0.27640699 -0.08628968 -1.14934812], Predicted=[0.93385945 0.06614055] X=[-0.06493106 3.58943834 -2.10062693 0.65238274 0.74282884 -0.5473605 0.08564423 1.06086466 1.20365029 -0.26155273 -1.31188435], Predicted=[0.98322746 0.01677254] X=[ 0.40912499 -0.37943543 0.2132802 -0.86589377 -0.76776332 -0.84138474 -1.77345374 -1.09254824 -0.38590965 1.22818321 1.61376767], Predicted=[0.46220676 0.53779324] X=[-0.18344508 -0.28021359 0.2132802 0.43548609 -0.40155916 1.62841881 1.59174892 0.50244858 -0.05475133 0.08897337 -0.74300757], Predicted=[0.86380323 0.13619677] X=[ 0.29061097 1.90266698 -0.36519658 1.65799445 -0.99664092 -0.78257989 0.08564423 0.38541527 -0.45214131 -0.08628968 1.20742712], Predicted=[0.60300231 0.39699769] X=[-0.30195909 3.58943834 -0.44783612 -0.39266473 -0.63043676 -0.95899443 -1.42046046 -1.22630059 -0.51837298 1.14055168 1.93884012], Predicted=[0.70496935 0.29503065] X=[-0.53898711 0.31511748 1.61815239 0.47492185 0.51395124 0.04068796 1.94474221 0.80004757 -0.12098299 -0.43681578 -1.14934812], Predicted=[0.97670984 0.02329016] X=[ 0.40912499 0.41433932 0.2132802 -0.86589377 -0.58466124 0.09949281 -0.57327657 -1.14604918 -0.58460464 1.92923542 1.45123145], Predicted=[0.50745918 0.49254082] X=[ 1.71277913 -0.28021359 1.28759423 2.05235198 0.10197156 0.86395581 2.10947241 2.03056922 -1.04822629 0.26423642 -1.06808001], Predicted=[0.92091012 0.07908988] X=[ 1.12020906 0.21589563 0.54383836 -0.90532952 -0.81353884 -0.72377504 -0.38501348 -0.87854447 -0.31967798 -0.87497341 0.31347789], Predicted=[0.77607059 0.22392941] X=[-0.4204731 -0.57787912 -0.11727796 -0.82645801 -0.81353884 0.04068796 -1.09100005 -1.09254824 0.54133365 0.87765711 1.126159 ], Predicted=[0.43274045 0.56725955] X=[ 1.23872307e+00 -1.80991745e-01 -3.46384190e-02 7.70689997e-01 -3.10008120e-01 2.21646728e+00 1.73294624e+00 9.60550391e-01 -1.71054293e+00 1.34184656e-03 -8.24275678e-01], Predicted=[0.9088715 0.0911285] X=[-0.77601514 0.71200485 -1.10895244 2.30868438 1.06325748 -0.13572658 0.46217041 1.68950072 -0.25344632 0.08897337 -1.39315246], Predicted=[0.94754306 0.05245694] X=[ 1.59426511 1.40655776 -0.36519658 -0.45181836 -0.7219878 -0.25333627 -0.90273697 -0.97885873 -1.24692128 -1.48839409 1.85757201], Predicted=[0.64819901 0.35180099] X=[-1.25007119 -1.07398834 0.04800112 -0.90532952 -0.035355 3.56897874 0.74456503 -1.2296444 1.26988195 3.59423441 1.04489089], Predicted=[0.19094305 0.80905695] X=[ 0.88318104 1.00967039 -1.10895244 -0.58984349 0.01042052 -1.54704289 -0.5262108 0.12459818 -0.25344632 -0.69971036 -0.90554379], Predicted=[0.9674795 0.0325205] X=[-0.30195909 -0.87554465 -0.69575474 -1.02363678 0.28507364 -0.07692173 1.00342678 -0.169657 0.74002864 -0.61207884 -0.90554379], Predicted=[0.93845181 0.06154819] X=[-0.06493106 2.3987762 -0.11727796 1.34250842 -0.08113052 1.09917519 1.94474221 1.06086466 0.54133365 0.08897337 -0.74300757], Predicted=[0.92615786 0.07384214] X=[-1.01304317 0.8112267 0.46119882 -0.62927925 -0.85931436 -0.90018958 -0.31441482 -1.01229682 1.26988195 -0.87497341 0.63855033], Predicted=[0.72226551 0.27773449] X=[-0.18344508 -0.37943543 -0.28255704 -0.50111305 -0.17268156 4.09822236 0.95636101 -0.71469784 -0.98199462 0.87765711 0.63855033], Predicted=[0.58011397 0.41988603] X=[-0.77601514 1.70422329 3.27094319 0.15943582 2.43652307 0.68754127 1.49761738 0.59941904 0.14394366 -0.52444731 -1.06808001], Predicted=[0.99355155 0.00644845] X=[-0.77601514 0.31511748 -0.86103382 -0.60956137 0.28507364 -0.07692173 -0.59680945 0.08781628 -0.18721466 -0.08628968 -1.71822491], Predicted=[0.975375 0.024625] X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=[0.64164981 0.35835019] X=[-0.18344508 0.01745194 0.04800112 0.49463972 0.10197156 -0.19453143 -0.64387523 0.17475531 0.40887032 0.43949948 0.394746 ], Predicted=[0.73598112 0.26401888] X=[ 0.05358295 0.11667379 -0.69575474 1.14532965 -0.2642326 -0.37094597 -0.05555308 0.49910477 -0.91576296 1.40344626 -0.09286267], Predicted=[0.74019926 0.25980074] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[ 0.40912499 -1.17321019 -0.6131152 0.13971794 0.37662468 0.33471219 2.01534087 0.86023613 1.26988195 0.527131 -0.33666701], Predicted=[0.85880712 0.14119288] X=[-0.30195909 1.30733592 -0.53047566 0.8495615 2.94005379 -0.90018958 -0.83213831 0.90036183 -0.71706797 -0.69971036 -1.23061624], Predicted=[0.99042859 0.00957141] X=[-0.77601514 -0.37943543 -0.94367336 0.29746096 0.33084916 0.56993158 0.25037443 0.47569811 0.27640699 0.26423642 -0.9868119 ], Predicted=[0.9074772 0.0925228] X=[ 0.527639 1.00967039 -0.86103382 0.02141068 0.1935226 -1.01779928 -0.8556712 -0.33015982 -0.58460464 0.527131 0.55728222], Predicted=[0.79741147 0.20258853] X=[-0.65750113 0.21589563 0.04800112 -0.94476527 0.14774708 -1.25301866 -0.14968462 -0.00915417 0.74002864 0.00134185 -0.82427568], Predicted=[0.96860519 0.03139481] X=[-1.01304317 -1.17321019 0.29591974 -0.96448315 -0.9508654 0.45232188 -0.50267791 -0.41041123 1.79973526 0.1766049 -0.66173945], Predicted=[0.76276072 0.23723928] X=[ 0.17209696 -1.17321019 -0.11727796 0.37633246 -0.035355 0.15829765 -0.29088194 0.59273142 0.14394366 -1.31313104 -1.06808001], Predicted=[0.89724066 0.10275934] X=[ 1.71277913 -0.57787912 0.37855928 1.65799445 0.37662468 -0.19453143 -0.29088194 2.06400731 0.21017533 0.08897337 -0.66173945], Predicted=[0.90290155 0.09709845] X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494] X=[-0.65750113 -0.18099175 -0.36519658 -0.82645801 -0.12690604 -0.01811689 0.86222946 -0.74479212 1.26988195 -0.52444731 0.88235467], Predicted=[0.72943655 0.27056345] X=[ 0.40912499 0.71200485 -0.69575474 -0.15605021 -0.63043676 -0.72377504 -0.43207925 -0.22984555 -1.71054293 1.49107779 -0.17413078], Predicted=[0.8693213 0.1306787] X=[-0.4204731 0.61278301 1.0396756 -1.06307253 -1.04241644 -1.72345743 -1.37339468 -1.7980919 -0.25344632 0.43949948 1.93884012], Predicted=[0.48433618 0.51566382] X=[-1.13155718 0.41433932 -0.44783612 -0.3335111 -0.31000812 -0.07692173 -1.04393428 -1.46705482 0.21017533 0.70239405 2.10137634], Predicted=[0.31262219 0.68737781] X=[ 0.527639 -0.77632281 0.29591974 -1.02363678 -0.40155916 0.74634612 -0.45561214 -0.67791594 0.87249197 0.00134185 0.31347789], Predicted=[0.65315878 0.34684122] X=[-0.18344508 -0.18099175 -0.36519658 0.13971794 -0.44733468 -0.42975081 -0.90273697 0.43891621 -0.71706797 -1.13786799 -0.9868119 ], Predicted=[0.94982652 0.05017348] X=[-0.06493106 2.3987762 -0.6131152 -0.13633233 -0.35578364 -0.48855566 -0.1967504 -1.34667771 -0.51837298 -1.92655172 2.02010823], Predicted=[0.64935162 0.35064838] X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 -0.52444731 0.63855033], Predicted=[0.71446484 0.28553516] X=[ 1.12020906 1.20811407 1.28759423 0.27774308 0.6512778 -0.07692173 0.55630195 0.86023613 0.47510198 0.79002558 0.63855033], Predicted=[0.92478118 0.07521882] X=[-1.01304317 0.31511748 -0.77839428 -0.60956137 -0.21845708 -0.60616535 0.10917712 -0.87854447 0.8062603 -0.43681578 0.63855033], Predicted=[0.74875285 0.25124715] X=[-0.30195909 0.21589563 -0.69575474 0.31717883 -0.44733468 -0.84138474 -0.33794771 -0.13621891 -0.8495313 -0.96260494 0.23220977], Predicted=[0.8463148 0.1536852] X=[ 0.40912499 1.80344514 2.60982687 0.79040787 0.1935226 2.39288182 1.26228852 1.19461701 -0.18721466 -0.61207884 -1.47442057], Predicted=[0.97944253 0.02055747] X=[-0.30195909 -0.37943543 -0.36519658 -0.86589377 -1.04241644 -0.95899443 -1.23219737 -1.34667771 0.40887032 -0.34918426 1.61376767], Predicted=[0.41908666 0.58091334] X=[-2.90926737 1.80344514 -1.93534784 -0.70815075 -0.99664092 -0.25333627 -0.64387523 -1.96193853 1.93219859 -1.31313104 2.10137634], Predicted=[0.38634916 0.61365084] X=[-0.4204731 0.8112267 -0.1999175 1.41152099 0.33084916 -0.90018958 -0.59680945 0.4723543 0.077712 0.61476253 0.394746 ], Predicted=[0.73931923 0.26068077] X=[ 3.49048932 1.40655776 1.20495468 0.68195955 -0.53888572 -1.78226228 -0.66740811 0.59273142 -2.10793291 -1.75128867 -0.41793512], Predicted=[0.93690393 0.06309607] X=[-0.53898711 -0.47865728 -0.53047566 -0.84617589 -0.17268156 -0.01811689 -0.90273697 -1.03235968 -1.04822629 1.22818321 0.31347789], Predicted=[0.73640251 0.26359749] X=[ 1.59426511 1.00967039 1.28759423 1.42137993 -0.17268156 1.33439458 0.65043349 1.51227885 -0.58460464 0.43949948 -0.90554379], Predicted=[0.91611247 0.08388753] X=[-0.53898711 4.08554756 -2.01798739 0.23830733 -0.08113052 -0.07692173 0.13271 0.25835054 0.47510198 -0.96260494 -0.33666701], Predicted=[0.97083295 0.02916705] X=[-1.25007119 -0.28021359 -0.6131152 1.32279054 0.23929812 0.51112673 0.22684155 1.06086466 0.67379698 -0.96260494 -0.9868119 ], Predicted=[0.90701714 0.09298286] X=[ 0.527639 -1.07398834 0.2132802 0.35661459 -0.81353884 0.51112673 -0.64387523 -0.4371617 -0.31967798 -0.69971036 1.53249956], Predicted=[0.3347545 0.6652455] X=[ 0.64615301 -0.77632281 0.13064066 -0.84617589 -0.35578364 -0.31214112 -0.5262108 0.29178862 1.99843026 2.45502457 -0.17413078], Predicted=[0.75546807 0.24453193] X=[-0.53898711 1.20811407 -0.69575474 -0.43210048 -0.63043676 -1.19421382 -1.11453294 -1.38680341 0.47510198 0.26423642 2.10137634], Predicted=[0.40050707 0.59949293] X=[-0.18344508 1.80344514 -1.0263129 -0.47153623 -0.53888572 -1.37062835 -1.1851316 -1.29317677 0.47510198 0.43949948 2.02010823], Predicted=[0.47320633 0.52679367] X=[ 0.64615301 -0.67710097 -0.28255704 0.29746096 -0.31000812 -1.25301866 -0.47914502 0.05772201 -1.51184794 -1.31313104 -0.09286267], Predicted=[0.8772216 0.1227784] X=[-0.89452915 0.31511748 0.29591974 0.39605034 -0.67621228 2.04005274 0.74456503 -0.2097827 1.53480861 -0.78734189 0.96362278], Predicted=[0.49897513 0.50102487] X=[ 1.35723709 2.69644174 -1.35687106 0.35661459 -0.2642326 -1.31182351 -1.8440524 0.52585524 -0.6508363 -1.66365715 -0.82427568], Predicted=[0.96854308 0.03145692] X=[-1.25007119 1.05928131 -0.69575474 -0.53068986 -0.67621228 0.15829765 -0.38501348 -0.91867018 0.077712 1.22818321 0.55728222], Predicted=[0.71547802 0.28452198] X=[-0.4204731 0.51356116 0.37855928 -0.76730438 0.05619604 -0.31214112 0.22684155 -1.46705482 -0.12098299 -0.52444731 1.7763039 ], Predicted=[0.60793112 0.39206888] X=[-0.06493106 -0.67710097 3.35358273 -1.02363678 0.05619604 -0.60616535 -0.64387523 -0.81166829 -0.38590965 -0.69971036 0.15094166], Predicted=[0.90274944 0.09725056] X=[-0.18344508 -0.77632281 -0.77839428 0.02141068 -0.08113052 -0.42975081 -0.90273697 -0.18303223 -0.45214131 -1.40076257 -0.2553989 ], Predicted=[0.84169589 0.15830411] X=[-1.01304317 -0.77632281 -0.6131152 1.63827657 -0.035355 1.04037035 -0.31441482 1.45041839 -1.31315295 1.75397237 -0.90554379], Predicted=[0.89395085 0.10604915] X=[-1.25007119 0.51356116 -1.10895244 1.9044679 0.05619604 -0.5473605 0.65043349 1.19461701 -0.6508363 -0.26155273 -1.31188435], Predicted=[0.93757108 0.06242892] X=[-0.4204731 0.91044854 -0.03463842 -0.49125411 -0.85931436 0.27590734 -0.1967504 -1.14604918 0.60756531 -0.87497341 1.7763039 ], Predicted=[0.50032561 0.49967439] X=[-0.4204731 -0.18099175 3.35358273 1.3622263 -0.08113052 1.92244304 2.01534087 1.06086466 -0.05475133 0.43949948 -0.82427568], Predicted=[0.88971629 0.11028371] X=[ 1.71277913 -0.28021359 -0.03463842 -0.76730438 0.33084916 -1.37062835 -1.56165777 0.00422106 -1.97546959 -0.08628968 -0.82427568], Predicted=[0.96434308 0.03565692] X=[ 0.05358295 1.00967039 -0.11727796 0.41576822 -0.08113052 0.04068796 0.32097309 -0.27665888 1.26988195 -1.22549952 1.20742712], Predicted=[0.6031054 0.3968946] X=[ 2.06832116 -0.0817699 1.0396756 -0.05746082 -0.63043676 -1.31182351 -2.29117723 -0.34353506 -1.97546959 -1.31313104 0.31347789], Predicted=[0.80975059 0.19024941] X=[ 0.527639 -0.18099175 -0.11727796 -1.02363678 -0.21845708 -0.37094597 -1.04393428 -1.4202415 -0.78329963 -0.34918426 1.20742712], Predicted=[0.59840278 0.40159722] X=[-1.13155718 2.20033252 -2.34854555 -0.74758651 0.37662468 0.04068796 0.17977578 0.25835054 1.60104027 0.08897337 -1.06808001], Predicted=[0.97868085 0.02131915] X=[ 0.29061097 -0.67710097 -0.53047566 0.43548609 0.46817572 -0.5473605 -0.64387523 0.52585524 -1.5780796 0.26423642 -0.82427568], Predicted=[0.93402953 0.06597047] X=[-0.65750113 -0.87554465 -0.36519658 -0.17576808 -0.17268156 0.51112673 1.19168986 -0.33015982 0.01148034 -0.17392121 -0.17413078], Predicted=[0.7861139 0.2138861] X=[ 1.83129314 -0.9747665 0.70911744 -0.25463959 -0.44733468 -1.66465259 -1.44399334 -0.04259226 -0.18721466 0.26423642 0.96362278], Predicted=[0.65793024 0.34206976] X=[ 0.527639 0.71200485 2.77510595 0.37633246 0.33084916 -1.48823805 -0.90273697 0.62616951 0.01148034 0.08897337 0.31347789], Predicted=[0.94096261 0.05903739] X=[-0.18344508 -0.18099175 -0.6131152 -0.45181836 1.24635956 0.04068796 1.49761738 0.52585524 0.74002864 1.57870931 -0.82427568], Predicted=[0.95715859 0.04284141] X=[ 1.00169505 0.41433932 2.27926871 1.06645815 -0.21845708 1.80483335 1.16815698 1.30830651 -1.24692128 0.43949948 -0.9868119 ], Predicted=[0.94669353 0.05330647] X=[-0.18344508 -0.37943543 0.2132802 0.39605034 -0.17268156 0.39351704 -0.3614806 0.23494387 1.0049553 0.26423642 0.31347789], Predicted=[0.6747653 0.3252347] X=[-0.89452915 -0.18099175 -0.44783612 -0.9250474 -0.12690604 -0.6649702 -0.94980274 -1.62087003 -0.31967798 -0.43681578 1.61376767], Predicted=[0.56132527 0.43867473] X=[-0.4204731 -0.9747665 0.6264779 1.53968719 -0.31000812 0.68754127 -0.22028328 0.92042469 0.60756531 2.01686694 -0.17413078], Predicted=[0.52559366 0.47440634] X=[ 1.12020906 -0.0817699 2.03135009 0.94815089 -0.44733468 0.51112673 0.53276906 1.2280551 -0.8495313 -0.69971036 -1.31188435], Predicted=[0.95117967 0.04882033] X=[ 5.86076957 -0.47865728 0.37855928 0.92843301 -0.53888572 -1.19421382 -0.3614806 1.89681687 -1.71054293 0.527131 -0.66173945], Predicted=[0.87142655 0.12857345] X=[ 2.54237721 -0.37943543 1.37023377 -1.02363678 0.10197156 -0.5473605 -0.73800677 -0.74479212 0.14394366 -1.31313104 1.53249956], Predicted=[0.65432913 0.34567087] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[ 0.29061097 -1.37165388 -0.03463842 -1.06307253 2.66540067 -0.90018958 -1.98524971 -1.1560806 0.01148034 1.31581474 0.80108656], Predicted=[0.71397769 0.28602231] X=[-1.13155718 -0.18099175 -0.36519658 -0.19548596 0.01042052 -0.07692173 -0.5262108 -0.59766453 0.34263866 -0.69971036 0.71981845], Predicted=[0.74600304 0.25399696] X=[ 0.88318104 1.65461237 0.87439652 1.59884082 -0.035355 1.92244304 1.73294624 1.52899789 1.93219859 -1.13786799 -0.41793512], Predicted=[0.85957253 0.14042747] X=[-0.06493106 -0.0817699 1.28759423 -1.02363678 -0.08113052 -0.01811689 -0.29088194 -1.34667771 -0.38590965 -0.08628968 1.28869523], Predicted=[0.67128078 0.32871922] X=[-0.77601514 -0.57787912 -0.53047566 -0.96448315 0.83437988 -0.90018958 -0.14968462 -0.07603035 0.21017533 -0.26155273 -1.06808001], Predicted=[0.97270682 0.02729318] X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349] X=[-1.01304317 -0.37943543 -0.03463842 -0.76730438 -0.90508988 -0.25333627 -1.25573025 -1.29986438 -0.38590965 0.08897337 0.63855033], Predicted=[0.60718847 0.39281153] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[ 1.59426511 -0.28021359 1.0396756 -0.52083092 0.1935226 -1.25301866 -0.8556712 0.40547812 0.60756531 0.79002558 -0.66173945], Predicted=[0.91436288 0.08563712] X=[-0.30195909 -0.28021359 0.2132802 0.33689671 -0.035355 1.09917519 0.97989389 0.59273142 -0.71706797 -0.61207884 -1.06808001], Predicted=[0.94822202 0.05177798] X=[ 0.64615301 0.01745194 0.2132802 1.61855869 0.10197156 -0.01811689 0.53276906 0.9271123 -0.31967798 0.61476253 0.06967355], Predicted=[0.71908508 0.28091492] X=[-0.06493106 -0.28021359 0.29591974 -0.64899712 -0.90508988 -0.37094597 -1.06746717 -1.2296444 -0.31967798 -0.34918426 1.36996334], Predicted=[0.49091229 0.50908771] X=[-0.4204731 0.8112267 1.28759423 -0.68843288 -0.7219878 -1.13540897 -1.04393428 -1.27980153 -0.58460464 0.00134185 1.28869523], Predicted=[0.70762252 0.29237748] X=[-0.89452915 -1.27243203 0.13064066 1.85517321 -0.17268156 1.15798004 0.46217041 0.80004757 0.34263866 -1.05023647 0.06967355], Predicted=[0.58051875 0.41948125] X=[ 1.00169505 0.41433932 2.27926871 1.06645815 -0.21845708 1.80483335 1.16815698 1.30830651 -1.24692128 0.43949948 -0.9868119 ], Predicted=[0.94669353 0.05330647] X=[ 0.527639 -1.32204295 -0.03463842 -1.04335466 -0.17268156 -1.25301866 -1.74992086 -1.306552 -0.58460464 -1.05023647 1.04489089], Predicted=[0.60611108 0.39388892] X=[-0.4204731 0.11667379 0.70911744 0.82984363 -0.17268156 1.80483335 1.49761738 0.90704945 0.34263866 0.35186795 -0.82427568], Predicted=[0.89237506 0.10762494] X=[ 0.527639 -0.57787912 0.54383836 1.64813551 -0.17268156 0.54052915 -0.20851684 1.93025495 1.13741862 -0.69971036 -1.14934812], Predicted=[0.89579615 0.10420385] X=[-0.53898711 0.01745194 1.86607101 -0.9250474 5.04572771 0.80515096 -0.76153965 -0.16296938 -0.58460464 -1.05023647 -1.06808001], Predicted=[0.99573485 0.00426515] X=[ 0.29061097 -0.9747665 -0.6131152 -1.0039189 -0.21845708 -0.90018958 -1.58519066 -0.47728741 -0.98199462 2.19213 -0.49920323], Predicted=[0.84196068 0.15803932] X=[ 0.527639 0.61278301 -0.94367336 -0.98420103 -0.08113052 0.45232188 0.88576235 -0.39034838 -0.31967798 -0.26155273 -0.49920323], Predicted=[0.92869271 0.07130729] X=[-1.72412724 -1.27243203 -0.11727796 -0.76730438 -0.40155916 -1.48823805 -2.05584837 -1.75462238 -0.98199462 0.79002558 1.69503579], Predicted=[0.42828358 0.57171642] X=[ 0.05358295 0.71200485 1.78343147 1.09603496 -0.35578364 -0.78257989 -0.64387523 0.95051896 -0.51837298 -1.75128867 -0.66173945], Predicted=[0.95770371 0.04229629] X=[-1.25007119 0.31511748 -0.11727796 -0.37294685 -0.99664092 -0.42975081 -1.04393428 -1.66099574 0.40887032 0.26423642 2.58898502], Predicted=[0.21118056 0.78881944] X=[ 0.05358295 -0.37943543 0.2132802 2.84106705 -0.67621228 0.27590734 0.01504558 1.16117892 0.077712 -1.40076257 0.394746 ], Predicted=[0.42554225 0.57445775] X=[-1.25007119 -0.37943543 -0.6131152 0.7213953 -0.31000812 1.62841881 0.55630195 -0.09274939 0.93872363 0.08897337 0.55728222], Predicted=[0.47875016 0.52124984] X=[-0.06493106 -0.37943543 0.13064066 0.00169281 0.10197156 0.51112673 0.79163081 0.12459818 0.67379698 0.527131 -0.01159456], Predicted=[0.79420595 0.20579405] X=[-0.06493106 -0.47865728 1.20495468 -0.96448315 -0.44733468 -0.01811689 0.62690061 -0.80498067 -0.05475133 -0.34918426 0.63855033], Predicted=[0.80203629 0.19796371] X=[-0.30195909 -0.67710097 1.37023377 0.45520397 -0.44733468 0.33471219 1.23875564 -0.36359791 -1.51184794 0.61476253 0.394746 ], Predicted=[0.69515053 0.30484947] X=[ 2.30534919 -0.47865728 3.35358273 -0.62927925 -0.17268156 -1.19421382 -0.29088194 -0.2097827 -1.11445795 0.1766049 0.55728222], Predicted=[0.86371982 0.13628018] X=[ 2.4238632 0.61278301 0.04800112 -0.94476527 0.46817572 -1.31182351 0.88576235 0.19147436 -0.31967798 -0.17392121 -0.66173945], Predicted=[0.9663731 0.0336269] X=[-0.4204731 -0.47865728 -0.69575474 2.15094136 0.01042052 -1.19421382 -0.66740811 1.42199601 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.87273758 0.12726242] X=[ 1.00169505 1.10889223 1.28759423 0.2580252 -0.44733468 -1.4294332 -0.66740811 0.86023613 0.93872363 2.36739305 -0.41793512], Predicted=[0.8920197 0.1079803] X=[ 0.29061097 -0.67710097 -0.44783612 -0.72786863 -0.53888572 -0.72377504 -0.64387523 0.00756487 1.07118696 1.31581474 -0.2553989 ], Predicted=[0.79751961 0.20248039] X=[-0.30195909 -1.47087572 -0.36519658 1.48053356 0.46817572 -0.13572658 -1.0204014 1.0006761 -0.12098299 -0.87497341 -0.90554379], Predicted=[0.83096918 0.16903082] X=[-1.25007119 0.11667379 -1.52215014 -1.04335466 -0.76776332 -1.37062835 -1.30279603 -1.41355388 0.74002864 -0.78734189 0.71981845], Predicted=[0.66031452 0.33968548] X=[-0.30195909 -0.47865728 -1.10895244 0.98758664 -0.08113052 0.56993158 -0.17321751 0.67298283 -1.51184794 0.1766049 -0.66173945], Predicted=[0.88079498 0.11920502] X=[-1.01304317 -0.57787912 -0.69575474 0.92843301 0.46817572 4.50985629 0.90929523 0.69304568 -0.71706797 -1.13786799 -0.90554379], Predicted=[0.87843045 0.12156955] X=[ 1.00169505 0.61278301 -0.53047566 0.47492185 0.78860436 0.2171025 1.07402544 0.96055039 -0.6508363 1.22818321 -1.06808001], Predicted=[0.95466738 0.04533262] X=[ 1.94980715 -1.07398834 1.28759423 0.47492185 0.10197156 -0.72377504 -0.71447388 0.22491245 -2.04170125 -1.31313104 -0.01159456], Predicted=[0.85298959 0.14701041] X=[ 5.35829483e-02 6.12783009e-01 -2.82557040e-01 -3.33511097e-01 -7.67763319e-01 -7.69217335e-02 2.26841548e-01 -7.94949248e-01 1.13741862e+00 1.34184656e-03 1.45123145e+00], Predicted=[0.45524174 0.54475826] X=[-0.18344508 -0.37943543 1.0396756 -0.82645801 -0.58466124 -0.95899443 -0.64387523 -1.19620631 -0.58460464 1.14055168 1.126159 ], Predicted=[0.60380872 0.39619128] X=[ 2.18683518 -0.37943543 0.13064066 -1.14194404 -0.17268156 -1.4294332 -1.58519066 -0.47728741 -0.71706797 -0.96260494 0.06967355], Predicted=[0.88106357 0.11893643] X=[-0.77601514 -0.77632281 1.28759423 -0.94476527 0.8801554 -1.07660412 0.10917712 -0.10946844 0.21017533 0.26423642 -1.06808001], Predicted=[0.97271359 0.02728641] X=[-2.07966928e+00 -6.77100966e-01 -4.47836120e-01 -9.84201026e-01 5.61960394e-02 7.46346116e-01 2.26841548e-01 -7.84917822e-01 2.06466192e+00 1.34184656e-03 -9.28626721e-02], Predicted=[0.77076601 0.22923399] X=[-0.30195909 0.21589563 -0.77839428 -1.02363678 -0.53888572 -1.07660412 -0.40854637 -0.24322079 -0.38590965 -1.13786799 -1.06808001], Predicted=[0.97061772 0.02938228] X=[ 1.23872307e+00 2.15895632e-01 2.19662917e+00 -8.95470581e-01 1.01971559e-01 -1.31182351e+00 -7.61539654e-01 -2.39876981e-01 3.42638656e-01 1.34184656e-03 1.08552495e+00], Predicted=[0.8782174 0.1217826] X=[ 0.40912499 -0.28021359 0.46119882 2.47628633 -0.35578364 0.39351704 0.39157175 1.96369304 -1.44561627 -0.17392121 -1.23061624], Predicted=[0.914397 0.085603] X=[ 0.29061097 0.01745194 -0.6131152 -0.88561164 0.14774708 -1.37062835 -1.23219737 -0.2097827 -0.25344632 -0.96260494 -0.90554379], Predicted=[0.95957524 0.04042476] X=[ 1.12020906 0.01745194 0.04800112 -0.94476527 -0.81353884 -0.19453143 -0.47914502 -1.31323962 -1.24692128 -0.96260494 1.28869523], Predicted=[0.61276087 0.38723913] X=[-0.53898711 0.01745194 -0.36519658 -0.94476527 0.28507364 -0.07692173 -0.26734905 -0.37697314 1.93219859 0.61476253 -0.01159456], Predicted=[0.82555222 0.17444778] X=[ 0.29061097 -0.77632281 0.04800112 1.89460897 0.1935226 0.92276066 0.65043349 1.49555981 0.14394366 0.96528863 -1.06808001], Predicted=[0.77877648 0.22122352] X=[-0.4204731 0.8112267 -0.1999175 1.41152099 0.33084916 -0.90018958 -0.59680945 0.4723543 0.077712 0.61476253 0.394746 ], Predicted=[0.73931923 0.26068077] X=[-0.53898711 0.91044854 -1.10895244 -0.15605021 3.26048243 1.51080912 1.05049255 0.18813055 0.34263866 -0.52444731 -0.82427568], Predicted=[0.97832538 0.02167462] X=[-1.48709922 -0.77632281 2.69246641 0.75097212 -0.12690604 2.51049151 0.86222946 0.15803627 -1.37938461 -0.52444731 -0.09286267], Predicted=[0.86894253 0.13105747] X=[1.00169505 1.40655776 0.37855928 0.33689671 0.69705332 0.80515096 0.13271 0.86023613 1.40234528 0.79002558 0.394746 ], Predicted=[0.87599552 0.12400448] X=[-1.01304317 0.01745194 -0.36519658 2.5452989 0.23929812 0.04068796 0.83869658 1.69953214 -0.31967798 0.08897337 -1.23061624], Predicted=[0.90041954 0.09958046] X=[-0.30195909 0.71200485 -1.19159198 0.81012575 0.6512778 -1.19421382 -1.32632891 0.61948189 -0.38590965 -0.96260494 -0.49920323], Predicted=[0.94399723 0.05600277] X=[ 0.05358295 0.61278301 1.28759423 0.1791537 -0.035355 1.51080912 1.59174892 0.55929333 -0.6508363 -0.78734189 -1.23061624], Predicted=[0.96865991 0.03134009] X=[-0.06493106 0.01745194 -1.35687106 1.48053356 0.05619604 0.80515096 0.55630195 1.42868363 0.14394366 0.1766049 -1.23061624], Predicted=[0.89718989 0.10281011] X=[-0.89452915 0.01745194 -0.69575474 0.10028219 0.46817572 0.51112673 1.47408449 0.49241715 0.01148034 -0.78734189 -1.14934812], Predicted=[0.96656158 0.03343842] X=[-0.4204731 0.41433932 -1.77006876 1.00730452 -0.58466124 -0.01811689 0.62690061 1.12774083 0.21017533 -1.48839409 -1.23061624], Predicted=[0.94517158 0.05482842] X=[-0.06493106 -0.9747665 0.37855928 -0.98420103 -0.35578364 -0.01811689 -0.64387523 -0.74479212 0.87249197 0.87765711 0.55728222], Predicted=[0.61920253 0.38079747] X=[ 0.05358295 -0.47865728 0.04800112 -0.72786863 -0.63043676 -0.6649702 -0.40854637 -1.27980153 -0.31967798 -0.96260494 1.53249956], Predicted=[0.53140195 0.46859805] X=[-0.65750113 -0.0817699 0.29591974 0.29746096 0.05619604 1.33439458 1.80354489 0.46566668 0.01148034 -0.08628968 -0.82427568], Predicted=[0.92447523 0.07552477] X=[ 2.18683518 -0.47865728 -0.11727796 1.38194417 -0.08113052 -0.01811689 0.72103215 1.91353591 -0.45214131 -0.17392121 -1.39315246], Predicted=[0.93329634 0.06670366] X=[-1.60561323 -1.27243203 -0.11727796 1.50025143 -0.67621228 -1.13540897 -0.92626985 0.11456676 0.47510198 -0.96260494 0.80108656], Predicted=[0.44243216 0.55756784] X=[-1.13155718 0.91044854 -1.60478968 -0.01802507 -0.44733468 -0.07692173 1.09755832 0.12459818 -0.12098299 1.22818321 -0.58047134], Predicted=[0.91735377 0.08264623] X=[-1.25007119 -0.28021359 -0.77839428 1.3622263 -0.08113052 0.33471219 -0.0320202 1.06086466 1.0049553 -0.61207884 -0.82427568], Predicted=[0.86102871 0.13897129] X=[-0.53898711 0.21589563 -0.03463842 -0.23492171 0.1935226 -0.31214112 -0.0320202 -0.33015982 0.47510198 0.79002558 0.47601411], Predicted=[0.78824801 0.21175199] X=[ 1.59426511 0.91044854 -0.53047566 -0.9250474 -0.81353884 -1.48823805 -1.86758528 -0.57760167 -1.44561627 -0.08628968 -0.09286267], Predicted=[0.89696279 0.10303721] X=[ 0.64615301 0.41433932 1.78343147 2.01291623 0.46817572 1.04037035 2.34480127 2.56557863 -1.51184794 0.79002558 -1.47442057], Predicted=[0.98773635 0.01226365] X=[ 1.59426511 0.91044854 2.52718733 1.48053356 -0.12690604 -0.78257989 0.76809792 1.57246741 -1.31315295 2.71791915 -0.9868119 ], Predicted=[0.93883484 0.06116516] X=[-1.72412724 1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597 -0.1967504 -1.50383672 1.33611362 2.45502457 2.34518068], Predicted=[0.34098969 0.65901031] X=[ 0.17209696 -0.77632281 0.04800112 -0.13633233 -0.4931102 -0.19453143 -1.30279603 -0.41041123 0.01148034 -0.26155273 0.80108656], Predicted=[0.59879448 0.40120552] X=[ 0.29061097 0.01745194 0.13064066 -0.57012562 -0.81353884 -0.01811689 -1.11453294 -1.27311391 -1.51184794 -1.40076257 1.28869523], Predicted=[0.62857576 0.37142424] X=[ 0.05358295 -0.67710097 -0.77839428 -0.90532952 -1.13396748 -1.07660412 -1.37339468 -1.37342818 -0.25344632 -0.26155273 1.45123145], Predicted=[0.42170521 0.57829479] X=[-0.89452915 -1.71893033 -0.1999175 -1.0039189 -0.40155916 1.15798004 0.15624289 -0.94542065 1.46857694 -0.69971036 0.47601411], Predicted=[0.53530408 0.46469592] X=[-0.53898711 -0.57787912 -0.1999175 1.48053356 -0.2642326 1.27558973 -0.07908597 0.90036183 0.14394366 -0.96260494 0.15094166], Predicted=[0.72619132 0.27380868] X=[ 1.12020906 0.21589563 0.29591974 -1.0039189 0.23929812 -1.13540897 -0.99686851 0.02428392 0.87249197 1.14055168 -0.41793512], Predicted=[0.91408069 0.08591931] X=[ 0.17209696 1.60500145 -0.77839428 1.12561178 0.46817572 1.92244304 1.68588046 1.05417704 -0.91576296 0.08897337 -0.82427568], Predicted=[0.95187845 0.04812155] X=[ 0.05358295 1.20811407 0.79175698 -0.03774295 0.8801554 0.39351704 0.93282812 0.49910477 -0.51837298 0.35186795 -0.90554379], Predicted=[0.97832426 0.02167574] X=[-0.18344508 1.10889223 -0.1999175 -0.72786863 0.37662468 -0.48855566 1.49761738 0.25835054 1.79973526 0.70239405 -0.01159456], Predicted=[0.94527221 0.05472779] X=[-1.25007119 -1.07398834 0.04800112 -0.90532952 -0.035355 3.56897874 0.74456503 -1.2296444 1.26988195 3.59423441 1.04489089], Predicted=[0.19094305 0.80905695] X=[-0.4204731 0.71200485 0.2132802 -1.10250829 -0.53888572 -0.19453143 -0.64387523 -1.54061862 -0.51837298 0.08897337 1.28869523], Predicted=[0.66768799 0.33231201] X=[-0.30195909 -0.28021359 -0.03463842 0.41576822 -0.17268156 -0.37094597 0.06211135 0.47904192 0.60756531 0.96528863 -0.09286267], Predicted=[0.81122526 0.18877474] X=[ 1.71277913 -1.37165388 -0.6131152 -0.96448315 0.14774708 1.21678489 1.19168986 0.19147436 0.14394366 1.14055168 -0.82427568], Predicted=[0.85450513 0.14549487] X=[-1.96115527 0.61278301 0.29591974 -0.03774295 -0.67621228 0.39351704 -0.12615174 -1.09254824 0.40887032 -0.69971036 1.61376767], Predicted=[0.54639757 0.45360243] X=[-0.18344508 0.31511748 0.04800112 0.08056431 0.60550228 0.92276066 1.80354489 0.45229145 0.93872363 0.61476253 -0.17413078], Predicted=[0.89650016 0.10349984] X=[ 1.4757511 -0.37943543 -0.11727796 0.81012575 -0.7219878 -0.07692173 -0.78507254 0.01425249 -0.51837298 -0.61207884 1.04489089], Predicted=[0.42236953 0.57763047] X=[ 0.17209696 -0.37943543 -0.77839428 -0.90532952 0.05619604 -0.37094597 -1.11453294 -0.50738169 0.74002864 -0.52444731 -0.49920323], Predicted=[0.84710562 0.15289438] X=[ 7.64667024e-01 1.30733592e+00 -8.61033822e-01 1.65799445e+00 3.76624679e-01 -4.29750812e-01 8.38696578e-01 1.65606263e+00 -5.47513286e-02 1.34184656e-03 -6.61739454e-01], Predicted=[0.94439026 0.05560974] X=[-0.30195909 -0.9747665 -0.6131152 2.15094136 0.23929812 -1.07660412 0.25037443 1.46212172 -1.24692128 -0.52444731 -0.90554379], Predicted=[0.90347848 0.09652152] X=[ 1.23872307 0.01745194 -0.11727796 -0.55040774 -0.35578364 -1.54704289 -1.46752623 -0.67791594 -0.91576296 -1.57602562 0.96362278], Predicted=[0.79259288 0.20740712] X=[-1.13155718 -0.18099175 -0.69575474 1.20448328 -0.53888572 0.15829765 0.32097309 1.2280551 0.93872363 -0.52444731 -0.90554379], Predicted=[0.90141868 0.09858132] X=[-1.83445077e-01 -1.80991745e-01 4.61198823e-01 1.69280668e-03 5.73236051e+00 1.68722366e+00 1.45055161e+00 5.32542860e-01 1.14803354e-02 -9.62604939e-01 -9.05543789e-01], Predicted=[0.99262045 0.00737955] X=[-0.18344508 0.01745194 -1.60478968 -0.98420103 -0.12690604 1.68722366 0.48570329 -0.67791594 -0.12098299 -0.87497341 -0.41793512], Predicted=[0.86340354 0.13659646] X=[ 0.17209696 1.70422329 0.04800112 2.64388828 -0.2642326 -1.37062835 -1.6793222 1.19461701 -0.78329963 -0.96260494 0.394746 ], Predicted=[0.79186345 0.20813655] X=[-0.53898711 -0.0817699 0.95703606 0.37633246 0.1935226 0.9815655 1.35642006 0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.93017349 0.06982651] X=[-2.19818329 0.11667379 1.70079193 -0.13633233 -0.4931102 1.09917519 0.39157175 -1.42692912 0.54133365 -1.31313104 1.93884012], Predicted=[0.45100985 0.54899015] X=[ 1.71277913 -0.9747665 -0.28255704 -1.04335466 -0.58466124 -0.90018958 -1.91465106 -0.98220254 -1.11445795 0.1766049 0.394746 ], Predicted=[0.62714025 0.37285975] X=[-1.48709922 -0.87554465 -0.6131152 -0.98420103 -0.7219878 -1.37062835 -1.46752623 -1.17948726 0.40887032 -1.05023647 0.31347789], Predicted=[0.75293292 0.24706708] X=[ 0.88318104 -0.77632281 0.46119882 -0.74758651 -0.08113052 -0.31214112 0.97989389 0.02428392 1.79973526 -0.43681578 0.23220977], Predicted=[0.80283989 0.19716011] X=[-1.96115527e+00 -3.79435433e-01 9.57036064e-01 -5.10971987e-01 -8.59314358e-01 -8.41384737e-01 -2.43816167e-01 -6.77915939e-01 2.39582024e+00 1.34184656e-03 5.57282222e-01], Predicted=[0.64473564 0.35526436] X=[ 0.17209696 -0.57787912 -0.6131152 0.55379335 -0.85931436 0.09949281 -0.38501348 -0.58428929 -0.8495313 -1.31313104 1.61376767], Predicted=[0.38050716 0.61949284] X=[-0.06493106 0.91044854 1.45287331 1.06645815 -0.08113052 1.56961397 0.57983483 1.19461701 0.01148034 -0.43681578 -1.39315246], Predicted=[0.95565474 0.04434526] X=[-0.77601514 0.71200485 -2.43118509 -1.02363678 0.6512778 -0.72377504 -0.71447388 -0.2097827 0.47510198 0.43949948 -1.06808001], Predicted=[0.96438379 0.03561621] X=[-0.77601514 0.8112267 0.95703606 0.79040787 0.6512778 -0.78257989 1.07402544 1.03077038 0.8062603 0.61476253 -0.58047134], Predicted=[0.96012747 0.03987253] X=[-0.89452915 -1.17321019 0.29591974 -1.04335466 -0.67621228 0.09949281 -0.97333563 -0.61103976 1.40234528 0.79002558 -0.01159456], Predicted=[0.69620184 0.30379816] X=[-1.48709922 -0.87554465 1.0396756 -1.04335466 -0.63043676 -0.13572658 -0.54974368 -1.04573491 1.13741862 0.08897337 -0.09286267], Predicted=[0.73200629 0.26799371] X=[ 0.527639 -0.57787912 1.37023377 1.4410978 0.14774708 1.21678489 1.19168986 1.7965026 0.34263866 1.49107779 -1.23061624], Predicted=[0.90293027 0.09706973] X=[ 0.64615301 0.41433932 -0.53047566 1.28335479 -0.2642326 1.45200427 1.94474221 1.43202744 -0.91576296 1.49107779 -0.90554379], Predicted=[0.90793608 0.09206392] X=[-1.13155718 3.39099465 -0.44783612 -0.57012562 -0.31000812 1.15798004 0.32097309 -1.11261109 1.66727194 -0.43681578 1.20742712], Predicted=[0.7401845 0.2598155] X=[-0.89452915 -1.07398834 -1.0263129 -0.88561164 2.02454339 0.51112673 -0.1967504 -0.49400645 -0.78329963 -0.69971036 -0.66173945], Predicted=[0.95967126 0.04032874] X=[ 1.35723709 0.11667379 -0.36519658 1.34250842 0.01042052 -0.5473605 -0.59680945 1.42868363 0.40887032 -1.05023647 -0.66173945], Predicted=[0.88865139 0.11134861] X=[-0.4204731 0.21589563 -0.44783612 0.99744558 -0.21845708 -0.37094597 -0.690941 0.05103439 -1.37938461 -1.66365715 0.31347789], Predicted=[0.8270434 0.1729566] X=[ 0.88318104 0.31511748 -0.53047566 -0.11661445 -0.44733468 -0.72377504 -0.690941 -0.01249798 1.0049553 0.43949948 0.394746 ], Predicted=[0.68522293 0.31477707] X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852] X=[-0.06493106 -0.18099175 1.0396756 0.37633246 -0.40155916 0.80515096 0.81516369 0.6629514 -0.12098299 -0.17392121 -0.9868119 ], Predicted=[0.92628426 0.07371574] X=[-2.07966928 0.21589563 -0.28255704 -0.80674014 0.10197156 0.27590734 0.27390732 -1.533931 0.67379698 -0.26155273 1.36996334], Predicted=[0.61583653 0.38416347] X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=[0.53717123 0.46282877] X=[-0.4204731 -0.37943543 0.2132802 -0.82645801 -0.85931436 0.04068796 -0.10261885 -1.41355388 0.60756531 -1.13786799 1.61376767], Predicted=[0.42648035 0.57351965] X=[ 0.64615301 0.01745194 0.54383836 1.08617602 -0.63043676 -1.31182351 -1.09100005 0.75657805 -1.18068962 -0.26155273 0.23220977], Predicted=[0.8539141 0.1460859] X=[ 1.4757511 -0.77632281 1.28759423 1.06645815 0.10197156 0.62873642 1.73294624 0.9271123 -0.6508363 -0.26155273 -0.41793512], Predicted=[0.83457755 0.16542245] X=[ 1.4757511 -0.77632281 1.28759423 0.33689671 0.23929812 0.92276066 1.56821604 0.45897907 -0.58460464 0.26423642 0.394746 ], Predicted=[0.79120377 0.20879623] X=[ 0.40912499 -0.37943543 0.04800112 -1.04335466 -0.035355 -1.89987197 -1.74992086 -0.91198256 0.27640699 0.1766049 0.71981845], Predicted=[0.74480547 0.25519453] X=[-0.53898711 -1.07398834 -0.53047566 0.69181849 0.05619604 -0.5473605 -0.87920408 0.64623236 1.0049553 0.08897337 -0.49920323], Predicted=[0.78979892 0.21020108] X=[ 1.59426511 0.11667379 -0.03463842 0.53407548 -0.44733468 -0.42975081 -0.47914502 0.42554098 -1.51184794 -0.78734189 0.31347789], Predicted=[0.85005433 0.14994567] X=[ 2.77940524 -0.87554465 0.70911744 -0.86589377 0.05619604 -1.13540897 -0.80860543 0.38207146 -0.6508363 1.49107779 -0.41793512], Predicted=[0.90485424 0.09514576] X=[ 0.76466702 1.40655776 -1.19159198 0.10028219 -0.21845708 1.56961397 0.27390732 0.35197718 0.27640699 -1.05023647 -0.41793512], Predicted=[0.89606296 0.10393704] X=[-0.77601514 1.70422329 -0.6131152 -0.39266473 0.78860436 1.62841881 1.59174892 -0.00915417 0.54133365 0.26423642 -0.58047134], Predicted=[0.95472446 0.04527554] X=[ 0.88318104 -1.27243203 0.13064066 -0.4123826 0.23929812 -0.72377504 -0.94980274 0.06440962 -0.58460464 -0.43681578 -0.82427568], Predicted=[0.9068639 0.0931361] X=[-0.18344508 0.01745194 -0.44783612 -0.37294685 0.23929812 -1.25301866 -1.09100005 -0.59766453 1.13741862 0.79002558 1.126159 ], Predicted=[0.6000326 0.3999674] X=[-0.53898711 0.91044854 -1.77006876 -0.09689658 0.46817572 -1.72345743 -1.11453294 0.44560383 -0.8495313 -0.26155273 -1.71822491], Predicted=[0.98656733 0.01343267] X=[ 0.527639 0.41433932 1.20495468 1.3622263 0.6512778 1.27558973 1.35642006 1.39524554 -0.98199462 0.08897337 -1.06808001], Predicted=[0.95772379 0.04227621] X=[ 0.64615301 -0.47865728 0.37855928 0.43548609 0.28507364 0.33471219 0.27390732 0.43891621 -0.8495313 -0.26155273 -0.17413078], Predicted=[0.87905984 0.12094016] X=[ 0.527639 -0.37943543 0.46119882 2.27910756 0.51395124 0.56993158 0.25037443 1.96369304 0.14394366 -1.13786799 -1.55568868], Predicted=[0.92044521 0.07955479] X=[-0.89452915 0.01745194 -0.94367336 -0.90532952 -0.53888572 -0.19453143 -0.5262108 -1.41355388 1.13741862 -0.43681578 1.69503579], Predicted=[0.42467477 0.57532523] X=[-0.30195909 1.40655776 -0.03463842 -0.70815075 -0.53888572 -1.19421382 -1.25573025 -1.34667771 0.60756531 0.1766049 2.34518068], Predicted=[0.48966227 0.51033773] X=[ 0.64615301 1.60500145 -1.10895244 1.00730452 0.14774708 0.51112673 0.43863752 1.32836936 0.54133365 -0.43681578 -1.23061624], Predicted=[0.95387283 0.04612717] X=[-0.4204731 0.41433932 -0.86103382 0.41576822 0.23929812 -0.90018958 -0.00848731 0.09116009 -1.04822629 -0.61207884 0.15094166], Predicted=[0.91227166 0.08772834] X=[ 1.35723709 -0.47865728 1.0396756 -0.96448315 -0.7219878 -0.31214112 -0.31441482 -1.11261109 0.27640699 -0.17392121 1.61376767], Predicted=[0.42960817 0.57039183] X=[ 0.76466702 -0.0817699 -0.1999175 2.22981287 0.23929812 -0.13572658 0.81516369 1.66275025 -0.6508363 1.31581474 -0.2553989 ], Predicted=[0.79565675 0.20434325] X=[ 1.23872307 0.11667379 0.2132802 0.92843301 -0.58466124 0.45232188 1.63881469 0.96055039 -0.31967798 -0.26155273 -0.17413078], Predicted=[0.84670717 0.15329283] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[ 0.88318104 0.41433932 2.03135009 2.04249304 0.1935226 0.45232188 0.57983483 1.96369304 -0.25344632 0.43949948 -1.06808001], Predicted=[0.93372694 0.06627306] X=[-0.65750113 0.41433932 -0.6131152 1.1058939 0.14774708 1.62841881 0.74456503 0.69304568 -0.31967798 0.527131 -0.49920323], Predicted=[0.84783974 0.15216026] X=[ 2.18683518 -0.37943543 0.13064066 -1.14194404 -0.17268156 -1.4294332 -1.58519066 -0.47728741 -0.71706797 -0.96260494 0.06967355], Predicted=[0.88106357 0.11893643] X=[ 0.527639 -0.67710097 1.28759423 -0.90532952 -0.35578364 0.51112673 0.32097309 -0.94542065 0.87249197 -0.43681578 1.69503579], Predicted=[0.49121555 0.50878445] X=[ 0.05358295 -0.87554465 -0.44783612 -0.668715 0.37662468 -0.13572658 -0.92626985 -0.54416359 -0.18721466 -0.78734189 0.23220977], Predicted=[0.82352393 0.17647607] X=[-1.72412724 -0.57787912 -0.36519658 -1.02363678 -0.035355 1.98124789 0.32097309 -0.75147973 3.78668518 1.22818321 0.394746 ], Predicted=[0.43642957 0.56357043] X=[-0.06493106 1.30733592 -0.28255704 0.47492185 -0.035355 -0.42975081 -0.17321751 0.42554098 -0.45214131 0.87765711 -0.49920323], Predicted=[0.92228299 0.07771701] X=[ 0.29061097 0.31511748 1.37023377 1.59884082 0.60550228 -1.72345743 0.22684155 1.42868363 -1.64431127 -0.43681578 -1.14934812], Predicted=[0.97938692 0.02061308] X=[-0.77601514 -0.67710097 0.37855928 0.08056431 -0.44733468 1.68722366 2.50953147 0.3586648 -0.8495313 -1.13786799 -0.9868119 ], Predicted=[0.94932844 0.05067156] X=[-0.30195909 -0.77632281 -0.53047566 0.88899726 -0.35578364 -0.37094597 -0.1967504 0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=[0.74773453 0.25226547] X=[ 1.59426511 -0.9747665 -0.1999175 1.06645815 -0.31000812 3.56897874 2.60366301 1.19461701 -0.78329963 0.26423642 -0.82427568], Predicted=[0.76345799 0.23654201] X=[ 0.29061097 1.60500145 2.36190825 1.06645815 -0.08113052 0.9815655 0.32097309 1.16117892 -0.45214131 -0.26155273 -1.47442057], Predicted=[0.9718114 0.0281886] X=[-0.65750113 -0.57787912 0.04800112 -0.27435747 -0.63043676 0.04068796 -1.06746717 -1.306552 0.54133365 -1.13786799 2.42644879], Predicted=[0.25429982 0.74570018] X=[ 1.23872307 -0.57787912 1.28759423 -0.51097199 -0.17268156 -0.5473605 -0.78507254 -0.34353506 -0.58460464 -0.87497341 -0.01159456], Predicted=[0.8450078 0.1549922] X=[-0.53898711 -0.18099175 -1.0263129 0.35661459 0.1935226 0.92276066 1.02695966 0.46566668 0.27640699 -0.08628968 -0.82427568], Predicted=[0.89517107 0.10482893] X=[-0.30195909 0.51356116 0.6264779 -0.86589377 -0.85931436 -1.25301866 -1.39692757 -1.13601775 0.54133365 1.22818321 1.53249956], Predicted=[0.53841713 0.46158287] X=[ 0.29061097 -0.0817699 -0.77839428 1.22420116 -0.08113052 0.74634612 -0.47914502 1.08092751 -0.98199462 0.61476253 -0.41793512], Predicted=[0.86018647 0.13981353] X=[-0.65750113 1.20811407 -0.77839428 -0.25463959 -0.44733468 0.45232188 -0.17321751 -0.72472926 0.34263866 -0.43681578 0.63855033], Predicted=[0.73159566 0.26840434] X=[ 0.40912499 -0.87554465 -0.1999175 -0.94476527 0.74282884 -0.25333627 0.81516369 -0.7782302 1.07118696 -0.43681578 0.96362278], Predicted=[0.69121453 0.30878547] X=[-1.13155718 -0.28021359 -1.19159198 1.18476541 0.05619604 0.86395581 0.55630195 1.09430274 1.07118696 -0.96260494 -0.82427568], Predicted=[0.88588432 0.11411568] X=[-1.3685852 -0.37943543 1.12231514 -0.01802507 1.06325748 -0.01811689 1.02695966 -0.03924845 -0.51837298 -0.26155273 -0.6211054 ], Predicted=[0.95780958 0.04219042] X=[-0.53898711 1.95227791 -2.26590601 -1.06307253 -0.7219878 -1.54704289 -0.17321751 -1.21292535 -1.44561627 -1.75128867 0.23220977], Predicted=[0.94530889 0.05469111] X=[-0.89452915 1.80344514 -0.11727796 -0.03774295 0.33084916 -1.48823805 -1.04393428 0.44894764 1.07118696 -0.17392121 -0.33666701], Predicted=[0.96978898 0.03021102] X=[-1.96115527 2.20033252 -1.27423152 -0.86589377 -0.44733468 -0.72377504 -0.22028328 -1.51721196 1.13741862 2.45502457 2.34518068], Predicted=[0.48278771 0.51721229] X=[ 1.00169505 1.10889223 -0.28255704 -0.23492171 -0.40155916 -0.37094597 -0.17321751 0.09116009 1.26988195 -0.43681578 0.394746 ], Predicted=[0.81206863 0.18793137] X=[-0.53898711 -1.27243203 -0.1999175 -1.04335466 -0.08113052 -0.60616535 -0.99686851 -0.27665888 2.32958858 0.1766049 -0.17413078], Predicted=[0.77758768 0.22241232] X=[ 0.88318104 -0.18099175 1.12231514 -0.94476527 1.01748196 -1.78226228 -1.96171683 0.12459818 -0.58460464 -0.34918426 -0.74300757], Predicted=[0.98033068 0.01966932] X=[ 0.527639 0.61278301 -0.28255704 -1.0039189 0.51395124 -0.60616535 0.81516369 0.25835054 0.47510198 0.1766049 -1.14934812], Predicted=[0.97899993 0.02100007] X=[ 1.71277913 -0.77632281 1.28759423 -0.9250474 -0.2642326 -0.07692173 0.72103215 -0.07603035 -0.91576296 -1.05023647 -0.33666701], Predicted=[0.93414512 0.06585488] X=[-0.18344508 -0.57787912 0.46119882 0.75097212 -0.35578364 1.45200427 0.25037443 1.0775837 -0.12098299 0.43949948 -0.41793512], Predicted=[0.88299783 0.11700217] X=[ 1.35723709 2.89488543 0.46119882 -0.49125411 -0.53888572 -0.78257989 -0.38501348 -0.7782302 0.67379698 1.57870931 1.85757201], Predicted=[0.58855079 0.41144921] X=[ 0.527639 0.01745194 0.70911744 -1.02363678 -0.58466124 -0.37094597 0.08564423 -0.66119689 -0.12098299 -0.52444731 0.15094166], Predicted=[0.86109082 0.13890918] X=[-0.4204731 1.00967039 0.04800112 -0.58984349 -0.44733468 -0.07692173 1.45055161 -0.10946844 -0.31967798 2.36739305 -0.41793512], Predicted=[0.92341754 0.07658246] X=[-0.18344508 -0.67710097 1.20495468 1.65799445 0.1935226 -0.25333627 1.33288718 1.80319022 -1.5780796 2.27976152 -1.39315246], Predicted=[0.96055605 0.03944395] X=[ 0.64615301 -0.28021359 0.2132802 1.34250842 0.97170644 1.04037035 0.93282812 1.19461701 -1.18068962 -0.08628968 -1.23061624], Predicted=[0.93801935 0.06198065] X=[ 0.40912499 -0.28021359 -0.11727796 -0.96448315 0.37662468 -0.6649702 -0.78507254 -0.83173115 -0.12098299 -0.08628968 0.47601411], Predicted=[0.80609682 0.19390318] X=[ 0.40912499 0.51356116 -0.44783612 -0.98420103 -0.53888572 -0.5473605 -0.690941 -0.52410073 0.60756531 0.70239405 0.06967355], Predicted=[0.81652746 0.18347254] X=[-1.01304317 -0.57787912 -0.86103382 -0.27435747 -0.035355 -1.48823805 -0.38501348 -0.4739436 -1.64431127 1.22818321 -0.41793512], Predicted=[0.89730171 0.10269829] X=[-1.01304317 -0.18099175 -0.6131152 -0.82645801 -0.4931102 -1.48823805 -1.56165777 -1.52557148 -0.51837298 -0.08628968 1.32932928], Predicted=[0.5939701 0.4060299] X=[-0.4204731 0.41433932 0.95703606 0.2580252 -1.08819196 -0.25333627 -0.97333563 -0.89860732 0.077712 1.84160389 1.7763039 ], Predicted=[0.25100352 0.74899648] X=[ 0.527639 -0.37943543 0.04800112 1.77630171 0.1935226 0.15829765 0.83869658 1.42868363 -1.04822629 -0.61207884 -1.23061624], Predicted=[0.92317454 0.07682546] X=[ 0.527639 -0.57787912 -0.1999175 -0.80674014 -1.27129404 0.56993158 -1.37339468 -1.56068147 -0.8495313 -1.31313104 1.93884012], Predicted=[0.30630239 0.69369761] X=[ 0.527639 -0.87554465 1.28759423 1.80587852 0.55972676 0.86395581 -0.10261885 1.93025495 1.53480861 -1.13786799 -1.14934812], Predicted=[0.88744275 0.11255725] X=[ 0.40912499 -0.47865728 0.46119882 -0.96448315 0.33084916 -0.5473605 -0.76153965 -0.79160544 -0.05475133 -0.17392121 0.47601411], Predicted=[0.80721036 0.19278964] X=[-1.25007119 2.74605266 -0.6131152 -0.37294685 0.33084916 -1.07660412 -0.29088194 0.09116009 0.34263866 -0.26155273 -1.14934812], Predicted=[0.98778064 0.01221936] X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903] X=[-0.89452915 -0.57787912 0.54383836 -0.89547058 -0.67621228 -0.60616535 -0.64387523 -1.46036721 -1.04822629 -1.66365715 1.04489089], Predicted=[0.74181969 0.25818031] X=[-0.30195909 0.11667379 0.46119882 0.07070538 -0.67621228 -0.78257989 -0.94980274 -0.91198256 -0.25344632 2.71791915 1.93884012], Predicted=[0.27180451 0.72819549] X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=[0.76279697 0.23720303] X=[-1.25007119 -0.28021359 -0.44783612 0.92843301 0.46817572 0.56993158 0.86222946 1.17789797 1.53480861 -0.52444731 -0.82427568], Predicted=[0.92684832 0.07315168] X=[-1.84264125 0.31511748 0.37855928 0.81012575 -0.67621228 1.04037035 0.03857846 -0.27331507 1.0049553 -0.26155273 0.96362278], Predicted=[0.49975458 0.50024542] X=[ 0.40912499 -0.18099175 -0.6131152 1.24391904 -0.44733468 0.80515096 1.78001201 1.52899789 1.46857694 0.08897337 -0.41793512], Predicted=[0.81916844 0.18083156] X=[-0.89452915 -0.47865728 -0.53047566 0.67210061 0.4224002 2.27527212 -0.10261885 0.43891621 -0.18721466 -0.78734189 -0.2553989 ], Predicted=[0.84526807 0.15473193] X=[ 0.527639 -0.47865728 0.29591974 -0.90532952 -0.63043676 1.45200427 0.41510463 -0.67791594 -0.51837298 -1.22549952 0.47601411], Predicted=[0.78616316 0.21383684] X=[ 2.18683518 2.10111067 1.94871055 2.24953075 0.28507364 -0.07692173 2.4624657 2.23119775 -1.37938461 2.8931822 -1.23061624], Predicted=[0.95994293 0.04005707] X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103 0.46817572 -1.31182351 -0.0320202 -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=[0.9699796 0.0300204] X=[-1.01304317 0.01745194 1.28759423 0.08056431 0.10197156 1.51080912 1.96827509 0.42554098 0.01148034 -0.17392121 -0.9868119 ], Predicted=[0.95588771 0.04411229] X=[ 0.64615301 -0.18099175 -0.1999175 0.23830733 0.05619604 0.9815655 0.90929523 0.72648377 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94208613 0.05791387] X=[ 0.29061097 1.60500145 -0.53047566 0.39605034 0.51395124 1.45200427 0.50923618 -0.48731884 -0.18721466 -1.13786799 1.04489089], Predicted=[0.69852536 0.30147464] X=[-0.06493106 0.01745194 0.87439652 1.00730452 -0.2642326 1.33439458 1.99180798 0.96055039 0.21017533 0.61476253 -0.82427568], Predicted=[0.87119127 0.12880873] X=[-0.77601514 0.01745194 -0.03463842 -0.9250474 -0.76776332 -0.6649702 -0.64387523 -1.34667771 0.34263866 0.08897337 1.28869523], Predicted=[0.5611884 0.4388116] X=[-0.89452915 0.21589563 -0.28255704 -0.84617589 -0.67621228 0.86395581 0.57983483 -1.51386815 1.33611362 -0.52444731 1.7763039 ], Predicted=[0.3471397 0.6528603] X=[ 2.4238632 0.41433932 1.28759423 -0.94476527 0.1935226 -1.07660412 -0.17321751 0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=[0.9838082 0.0161918] X=[-1.48709922 0.51356116 -0.44783612 -1.02363678 -0.67621228 -0.13572658 -0.97333563 -0.92535779 1.99843026 0.79002558 0.31347789], Predicted=[0.68894362 0.31105638] X=[-0.30195909 -0.67710097 -0.36519658 -0.2053449 -0.76776332 0.45232188 -0.76153965 -0.97217112 -1.71054293 -0.52444731 0.80108656], Predicted=[0.6072019 0.3927981] X=[ 0.40912499 -1.61970849 -0.28255704 0.08056431 0.46817572 -0.5473605 -0.78507254 0.45897907 1.66727194 -0.78734189 -0.74300757], Predicted=[0.80331311 0.19668689] X=[ 0.29061097 -0.67710097 3.18830365 -0.94476527 5.54925843 1.7460285 -0.43207925 -0.26328364 -1.44561627 0.1766049 -1.06808001], Predicted=[0.99321895 0.00678105] X=[ 0.29061097 0.8112267 1.86607101 -1.0039189 0.01042052 -0.60616535 -0.8556712 -0.57760167 0.34263866 -1.40076257 -0.01159456], Predicted=[0.937891 0.062109] X=[ 0.40912499 1.10889223 2.44454779 0.90871513 -0.08113052 1.15798004 0.41510463 1.12774083 -0.6508363 -0.43681578 -1.47442057], Predicted=[0.97224202 0.02775798] X=[-0.06493106 -0.0817699 -0.28255704 1.30307267 0.05619604 1.98124789 0.50923618 1.01070752 -0.18721466 0.08897337 -0.74300757], Predicted=[0.83163612 0.16836388] X=[-1.25007119 -0.0817699 0.54383836 -1.02363678 1.38368612 0.68754127 -0.1967504 -0.72807307 -0.38590965 -0.34918426 -0.17413078], Predicted=[0.95254942 0.04745058] X=[-0.30195909 -0.0817699 -0.11727796 -1.0039189 -0.08113052 -1.01779928 -1.06746717 -1.19955012 -0.51837298 0.61476253 1.4105974 ], Predicted=[0.69276223 0.30723777] X=[-0.77601514 -0.42904636 0.04800112 -0.88561164 -0.44733468 -1.84106713 -0.50267791 -1.23967582 1.40234528 -0.43681578 1.36996334], Predicted=[0.54490272 0.45509728] X=[-0.18344508 -0.37943543 0.6264779 0.59322911 -0.2642326 0.80515096 0.65043349 0.45897907 -0.45214131 1.05292016 -0.49920323], Predicted=[0.82883752 0.17116248] X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897 0.1935226 -0.72377504 -0.94980274 0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=[0.89854693 0.10145307] X=[-0.30195909 0.61278301 -0.53047566 -0.03774295 0.60550228 -0.72377504 -0.05555308 0.55929333 0.74002864 0.00134185 -0.33666701], Predicted=[0.95366796 0.04633204] X=[-0.77601514 0.31511748 -0.86103382 -0.60956137 0.28507364 -0.07692173 -0.59680945 0.08781628 -0.18721466 -0.08628968 -1.71822491], Predicted=[0.975375 0.024625] X=[ 0.05358295 0.21589563 -0.69575474 -0.60956137 -0.21845708 -0.5473605 -0.33794771 0.08447248 -0.05475133 0.08897337 -0.9868119 ], Predicted=[0.94818415 0.05181585] X=[ 1.35723709 -0.0817699 -0.03463842 -1.02363678 0.1935226 0.33471219 -0.83213831 -1.33999009 -1.24692128 -0.34918426 1.53249956], Predicted=[0.58981914 0.41018086] X=[ 0.40912499 -0.9747665 -0.1999175 -1.04335466 -0.035355 -0.90018958 -1.53812488 -0.5107255 0.87249197 -0.78734189 0.23220977], Predicted=[0.80212795 0.19787205] X=[-0.30195909 1.45616868 -0.69575474 -0.7968812 -0.53888572 -0.72377504 -1.20866448 -1.07248538 -0.91576296 -0.69971036 0.71981845], Predicted=[0.85834063 0.14165937] X=[-1.01304317 -0.67710097 -0.77839428 1.12561178 0.1935226 1.15798004 0.60336772 0.99398848 1.0049553 -0.87497341 -0.90554379], Predicted=[0.86402518 0.13597482] X=[ 0.05358295 -0.37943543 0.54383836 1.77630171 0.28507364 2.68690605 1.40348584 1.52899789 0.077712 1.75397237 -0.90554379], Predicted=[0.78466566 0.21533434] X=[-0.30195909 -0.57787912 0.13064066 -0.98420103 0.1935226 -0.72377504 -1.30279603 -1.28314534 -0.12098299 -0.08628968 1.20742712], Predicted=[0.64329907 0.35670093] X=[-0.77601514 -0.0817699 1.28759423 -0.98420103 0.1935226 -0.90018958 -1.514592 -0.31009697 0.87249197 -0.43681578 -0.58047134], Predicted=[0.94774238 0.05225762] X=[ 2.4238632 0.41433932 1.28759423 -0.94476527 0.1935226 -1.07660412 -0.17321751 0.52585524 -0.38590965 -1.31313104 -0.90554379], Predicted=[0.9838082 0.0161918] X=[ 0.76466702 1.20811407 5.50221078 2.58473465 -0.21845708 -0.13572658 0.22684155 1.2280551 0.34263866 -0.96260494 1.20742712], Predicted=[0.69497676 0.30502324] X=[-1.60561323 -0.9747665 -0.94367336 -0.17576808 -0.40155916 -1.48823805 -1.23219737 -0.82504353 1.79973526 -0.43681578 1.36996334], Predicted=[0.41298821 0.58701179] X=[-1.72412724 -0.23060267 -0.03463842 -1.02363678 0.23929812 -0.37094597 -0.38501348 -1.18617488 1.20365029 1.49107779 0.63855033], Predicted=[0.67085293 0.32914707] X=[ 2.90610974e-01 4.14339320e-01 -2.82557040e-01 6.91818490e-01 -2.18457080e-01 1.62841881e+00 1.26228852e+00 8.00047567e-01 -4.52141313e-01 1.34184656e-03 -2.55398896e-01], Predicted=[0.88851616 0.11148384] X=[-1.13155718 -0.67710097 -0.77839428 1.12561178 -0.08113052 1.04037035 0.62690061 0.96055039 0.40887032 -0.87497341 -0.82427568], Predicted=[0.88091203 0.11908797] X=[-0.65750113 2.00188883 1.20495468 -0.90532952 -0.4931102 -0.01811689 -0.99686851 -0.94207684 1.99843026 2.19213 1.36996334], Predicted=[0.59879691 0.40120309] X=[-0.06493106 -0.87554465 -0.03463842 -1.0039189 -0.67621228 -0.78257989 -1.20866448 -1.39014722 -0.71706797 1.14055168 1.45123145], Predicted=[0.45281176 0.54718824] X=[ 0.64615301 0.51356116 -0.6131152 -0.74758651 -0.2642326 -0.37094597 -0.54974368 -0.91198256 -0.78329963 0.26423642 1.04489089], Predicted=[0.71790483 0.28209517] X=[-0.18344508 1.30733592 -0.53047566 -0.74758651 -0.58466124 -0.60616535 -1.25573025 -1.05911015 -0.91576296 -1.31313104 0.96362278], Predicted=[0.84515282 0.15484718] X=[ 2.18683518e+00 2.15895632e-01 4.80011213e-02 -3.13793220e-01 -1.27129404e+00 -7.23775044e-01 -2.67349053e-01 2.38287682e-01 -4.52141313e-01 1.34184656e-03 5.57282222e-01], Predicted=[0.79540839 0.20459161] X=[-0.65750113 1.30733592 -0.03463842 -0.3335111 -1.04241644 -0.42975081 -0.66740811 -1.01229682 0.74002864 -0.96260494 1.61376767], Predicted=[0.57761708 0.42238292] X=[-0.30195909 0.01745194 -2.01798739 0.88899726 0.23929812 0.09949281 -0.17321751 0.5459181 -1.71054293 1.14055168 -0.82427568], Predicted=[0.89342997 0.10657003] X=[ 2.4238632 0.21589563 0.13064066 -0.35322897 -0.63043676 -0.19453143 0.22684155 0.18478674 -0.25344632 -0.34918426 0.80108656], Predicted=[0.78870618 0.21129382] X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635] X=[ 2.66089123 -0.0817699 -0.11727796 -1.04335466 -0.67621228 -1.19421382 0.29744021 -0.14290653 -1.04822629 -0.69971036 0.06967355], Predicted=[0.90901631 0.09098369] X=[ 1.23872307 0.61278301 0.87439652 0.02141068 -0.85931436 0.68754127 -0.29088194 -0.93204541 -1.51184794 -1.05023647 1.61376767], Predicted=[0.49686582 0.50313418] X=[-0.4204731 0.01745194 0.04800112 -0.35322897 0.37662468 -0.78257989 -0.1967504 -0.7013226 0.077712 -0.26155273 1.20742712], Predicted=[0.74778445 0.25221555] X=[-0.89452915 -0.0817699 0.79175698 0.21858945 0.14774708 1.7460285 2.4624657 0.55929333 -0.45214131 -0.17392121 -1.23061624], Predicted=[0.96326227 0.03673773] X=[ 0.29061097 0.31511748 -0.69575474 0.94815089 0.10197156 -0.19453143 -0.05555308 0.87026755 -0.31967798 -0.78734189 -0.82427568], Predicted=[0.92238699 0.07761301] X=[-0.06493106 -0.28021359 -0.28255704 1.06645815 -0.12690604 1.04037035 -0.12615174 0.40547812 -1.04822629 0.79002558 -0.09286267], Predicted=[0.71541548 0.28458452] X=[ 2.77940524 -0.0817699 0.04800112 0.81012575 -0.12690604 0.80515096 2.10947241 1.12774083 -0.98199462 -0.69971036 -0.09286267], Predicted=[0.87182917 0.12817083] X=[ 1.71277913 0.8112267 1.94871055 1.6974302 0.28507364 -0.01811689 2.76839321 2.03056922 -1.71054293 1.31581474 -1.55568868], Predicted=[0.97983663 0.02016337] X=[ 0.29061097 -0.57787912 3.35358273 -0.72786863 -0.08113052 0.39351704 0.13271 -1.01229682 0.8062603 -0.69971036 1.36996334], Predicted=[0.58141513 0.41858487] X=[ 0.29061097 -0.18099175 -0.36519658 1.18476541 -0.08113052 1.56961397 2.39186704 0.96055039 -0.98199462 -0.61207884 -1.06808001], Predicted=[0.90799978 0.09200022] X=[-0.06493106 0.01745194 0.87439652 0.57351123 -0.67621228 -0.01811689 -0.0320202 0.19147436 -0.18721466 -1.13786799 -0.09286267], Predicted=[0.82708464 0.17291536] X=[-0.30195909 -0.87554465 -0.44783612 -1.04335466 -0.08113052 0.15829765 -0.90273697 -1.21292535 0.21017533 1.75397237 0.55728222], Predicted=[0.49866305 0.50133695] X=[ 0.76466702 -0.37943543 -0.1999175 1.32279054 0.1935226 -0.5473605 0.97989389 1.60924931 -0.91576296 0.35186795 -1.14934812], Predicted=[0.95357033 0.04642967] X=[ 0.29061097 0.01745194 -0.6131152 -0.70815075 -0.31000812 0.86395581 -0.47914502 -1.079173 -0.8495313 0.87765711 0.55728222], Predicted=[0.59451168 0.40548832] X=[ 2.66089123 3.09332911 0.37855928 -0.94476527 0.92593092 -0.07692173 1.02695966 0.9271123 0.27640699 -0.96260494 -1.6369568 ], Predicted=[0.99638836 0.00361164] X=[-0.06493106 -0.37943543 -0.36519658 0.61294698 -0.17268156 1.21678489 0.43863752 0.61279427 -0.51837298 0.1766049 -0.33666701], Predicted=[0.85175572 0.14824428] X=[ 0.17209696 -1.27243203 0.37855928 -0.82645801 0.05619604 -0.13572658 -0.99686851 -0.41041123 -0.38590965 -0.87497341 -0.09286267], Predicted=[0.87445429 0.12554571] X=[ 0.527639 -0.28021359 0.2132802 -0.84617589 -0.53888572 -0.31214112 0.90929523 -1.06245396 0.40887032 -0.78734189 1.126159 ], Predicted=[0.59196475 0.40803525] X=[-0.53898711 0.51356116 0.87439652 0.49463972 0.4224002 0.9815655 0.60336772 0.28510101 -0.58460464 -0.08628968 -0.74300757], Predicted=[0.92915954 0.07084046] X=[-0.65750113 -0.47865728 1.37023377 0.79040787 -0.12690604 1.51080912 -0.14968462 0.46566668 -2.17416458 -0.26155273 -1.14934812], Predicted=[0.93869896 0.06130104] X=[ 0.29061097 0.11667379 -0.44783612 0.57351123 0.10197156 0.86395581 0.06211135 0.29178862 -0.38590965 0.00134185 -0.17413078], Predicted=[0.80478902 0.19521098] X=[-0.30195909 -0.37943543 -0.53047566 0.77069 0.05619604 1.09917519 1.89767644 1.13442845 -0.98199462 -0.34918426 -1.39315246], Predicted=[0.96594612 0.03405388] X=[-1.25007119 0.3647284 -0.53047566 -0.95462421 -0.90508988 -1.19421382 -1.60872354 -1.36674056 1.20365029 -0.78734189 1.126159 ], Predicted=[0.59569163 0.40430837] X=[ 0.64615301 -0.0817699 1.53551285 1.83545534 0.37662468 0.04068796 0.01504558 1.28824366 -0.98199462 1.14055168 -0.39084575], Predicted=[0.8466951 0.1533049] X=[ 0.88318104 -0.87554465 0.70911744 -0.96448315 -0.08113052 -1.72345743 -0.57327657 -0.87854447 -0.98199462 2.19213 1.85757201], Predicted=[0.60197695 0.39802305] X=[ 1.71277913 -0.77632281 0.13064066 -1.08279041 0.1935226 -1.37062835 -1.514592 -0.67791594 -0.38590965 -0.96260494 -0.01159456], Predicted=[0.83993485 0.16006515] X=[-0.77601514 0.21589563 -1.0263129 -1.04335466 -0.63043676 -0.25333627 -0.64387523 -1.71449668 -1.44561627 -0.61207884 1.36996334], Predicted=[0.66384586 0.33615414] X=[ 1.23872307 -0.9747665 1.28759423 -0.23492171 0.23929812 0.04068796 0.43863752 0.42554098 -0.05475133 -0.08628968 0.06967355], Predicted=[0.88589401 0.11410599] X=[-1.60561323 0.21589563 -0.69575474 -0.88561164 -0.76776332 -0.13572658 -0.47914502 -1.44030435 1.13741862 1.49107779 1.61376767], Predicted=[0.37327058 0.62672942] X=[-0.30195909 -0.57787912 -0.36519658 1.57912294 0.01042052 0.2171025 -0.47914502 1.44205886 -0.91576296 0.08897337 -1.14934812], Predicted=[0.92458937 0.07541063] X=[ 0.29061097 -1.27243203 0.04800112 -0.21520384 -0.53888572 -0.13572658 -0.80860543 0.42554098 1.20365029 0.26423642 -0.9868119 ], Predicted=[0.8235252 0.1764748] X=[ 1.35723709 -0.77632281 0.87439652 -1.06307253 0.51395124 -0.6649702 -0.64387523 -0.81835591 -0.6508363 -1.48839409 0.55728222], Predicted=[0.84895902 0.15104098] X=[-0.53898711 -0.47865728 -0.03463842 -1.03349572 -0.08113052 -1.16481139 1.86237711 -0.67791594 0.93872363 -0.43681578 0.394746 ], Predicted=[0.86208259 0.13791741] X=[ 1.00169505 1.20811407 -0.53047566 -0.37294685 -0.53888572 -0.48855566 -1.0204014 -0.76151116 0.14394366 0.87765711 1.45123145], Predicted=[0.51009477 0.48990523] X=[-2.07966928 1.10889223 -1.0263129 -0.9250474 -0.85931436 -1.19421382 -1.56165777 -1.54730624 2.06466192 -0.34918426 1.61376767], Predicted=[0.49769934 0.50230066] X=[ 1.00169505 1.40655776 -0.1999175 0.55379335 0.10197156 -0.78257989 1.94474221 0.96055039 -0.8495313 1.05292016 -1.06808001], Predicted=[0.96908372 0.03091628] X=[-1.01304317 0.8112267 -0.11727796 -1.04335466 0.33084916 -0.5473605 0.81516369 0.03765915 1.26988195 0.43949948 -1.39315246], Predicted=[0.97904384 0.02095616] X=[-0.06493106 0.01745194 0.2132802 -0.94476527 -0.2642326 -0.60616535 -1.20866448 -0.54416359 0.27640699 1.49107779 -0.17413078], Predicted=[0.82983558 0.17016442] X=[ 0.527639 -1.07398834 -0.77839428 0.33689671 3.44358451 -0.19453143 0.55630195 0.35197718 -0.12098299 -0.96260494 -0.09286267], Predicted=[0.93707292 0.06292708] X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866 -0.73800677 -0.18637604 0.34263866 -0.26155273 -0.09286267], Predicted=[0.76422958 0.23577042] X=[ 1.71277913e+00 1.20811407e+00 6.26477903e-01 3.56614587e-01 1.93522599e-01 -1.19421382e+00 -3.85013482e-01 1.29493128e+00 1.33611362e+00 1.34184656e-03 -9.86811901e-01], Predicted=[0.95901848 0.04098152] X=[-1.01304317 1.70422329 0.70911744 -1.04335466 0.23929812 1.51080912 1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=[0.99106023 0.00893977] X=[ 0.40912499 -1.27243203 -0.03463842 -1.04335466 -0.85931436 -1.13540897 -1.77345374 -0.10946844 1.20365029 -0.78734189 -0.49920323], Predicted=[0.85468415 0.14531585] X=[ 0.17209696 -0.28021359 0.95703606 -0.80674014 -0.035355 0.27590734 -0.47914502 -1.13267394 -0.18721466 -0.08628968 1.126159 ], Predicted=[0.61885194 0.38114806] X=[-0.18344508 0.01745194 -0.1999175 0.19887157 -0.21845708 -1.66465259 -1.3498618 -0.49735026 -0.98199462 -0.17392121 0.71981845], Predicted=[0.74711633 0.25288367] X=[-0.89452915 -1.17321019 0.04800112 -0.05746082 -0.53888572 -0.25333627 -0.57327657 -0.12618748 0.87249197 0.79002558 -0.29603295], Predicted=[0.69111964 0.30888036] X=[-1.25007119 -0.18099175 -0.28255704 -0.74758651 -0.53888572 2.33407697 -0.22028328 -1.27980153 0.077712 -0.96260494 0.80108656], Predicted=[0.57351044 0.42648956] X=[ 1.00169505 -1.57009756 -0.11727796 -0.98420103 0.6512778 0.68754127 0.27390732 0.39210289 1.20365029 -0.61207884 -1.06808001], Predicted=[0.93171123 0.06828877] X=[ 0.64615301 -0.28021359 1.28759423 -1.04335466 -0.17268156 -0.01811689 0.41510463 -0.7782302 -0.38590965 0.527131 0.63855033], Predicted=[0.79602881 0.20397119] X=[-0.4204731 -0.77632281 0.13064066 -0.49125411 -0.2642326 -0.48855566 0.03857846 -1.00560921 -1.37938461 0.35186795 1.04489089], Predicted=[0.68377714 0.31622286] X=[-0.65750113 -0.77632281 0.54383836 -0.96448315 -0.40155916 -0.01811689 -0.73800677 -0.7782302 1.79973526 0.08897337 0.71981845], Predicted=[0.6089612 0.3910388] X=[ 0.40912499 -1.96698494 1.28759423 -1.0039189 0.1935226 -1.01779928 0.22684155 0.15803627 1.79973526 -0.43681578 -0.2553989 ], Predicted=[0.88910647 0.11089353] X=[ 0.76466702 -0.77632281 0.6264779 -1.02363678 0.1935226 -0.5473605 -0.17321751 -0.90195113 0.01148034 0.26423642 0.47601411], Predicted=[0.72410543 0.27589457] X=[-1.3685852 -0.37943543 -0.28255704 -1.0039189 -0.7219878 -0.60616535 -0.94980274 -1.45367959 1.20365029 -0.52444731 1.53249956], Predicted=[0.47300081 0.52699919] X=[-0.06493106 -0.9747665 -0.44783612 0.45520397 0.05619604 0.9815655 2.43893281 0.39210289 0.21017533 0.35186795 -0.01159456], Predicted=[0.76245786 0.23754214] X=[-2.07966928 -1.66931941 -0.11727796 -0.94476527 -0.81353884 -1.37062835 -1.13806583 -1.31992724 2.52828357 0.26423642 1.36996334], Predicted=[0.30982558 0.69017442] X=[ 1.23872307 -0.9747665 0.2132802 -0.09689658 0.55972676 -0.25333627 -0.14968462 0.32522671 0.40887032 0.26423642 0.31347789], Predicted=[0.7940488 0.2059512] X=[ 2.66089123 -0.0817699 0.95703606 0.82984363 -0.4931102 -0.42975081 -0.33794771 0.99398848 0.077712 -0.26155273 -0.09286267], Predicted=[0.76687518 0.23312482] X=[-0.06493106 0.91044854 1.12231514 0.94815089 1.15480852 0.51112673 -0.05555308 0.9271123 -1.37938461 3.41897136 -1.06808001], Predicted=[0.94781093 0.05218907] X=[ 1.00169505 -0.0817699 0.04800112 -0.90532952 -0.81353884 -0.5473605 0.69749926 -0.97885873 -1.31315295 -0.08628968 1.28869523], Predicted=[0.71083356 0.28916644] X=[-0.53898711 0.01745194 0.87439652 0.13971794 0.10197156 0.80515096 0.95636101 0.41885336 -0.25344632 -0.08628968 -1.06808001], Predicted=[0.94986928 0.05013072] X=[-0.30195909 0.41433932 -0.03463842 -0.76730438 0.28507364 0.27590734 1.68588046 -0.29003411 -0.25344632 0.96528863 -0.41793512], Predicted=[0.93492459 0.06507541] X=[-0.53898711 -0.67710097 -0.44783612 -0.09689658 0.05619604 -0.37094597 -0.87920408 -0.41709885 -0.25344632 -0.78734189 0.394746 ], Predicted=[0.77594009 0.22405991] X=[-0.06493106 -0.28021359 -0.77839428 -0.94476527 -0.035355 0.2171025 0.60336772 -0.00246655 2.26335691 0.79002558 0.23220977], Predicted=[0.80293988 0.19706012] X=[ 1.00169505 1.10889223 -0.44783612 -0.29407534 -0.4931102 0.04068796 -0.690941 -0.74479212 0.01148034 0.79002558 1.36996334], Predicted=[0.49724577 0.50275423] X=[ 0.40912499 -0.87554465 -0.1999175 -0.01802507 -0.53888572 -1.07660412 -0.83213831 -0.32681601 -0.25344632 0.26423642 0.71981845], Predicted=[0.60521056 0.39478944] X=[-1.01304317 -0.87554465 -0.36519658 -1.04335466 0.05619604 1.8636382 0.32097309 -0.81166829 2.32958858 0.87765711 0.47601411], Predicted=[0.50773793 0.49226207] X=[-0.18344508 0.11667379 1.28759423 -0.3335111 -0.53888572 -0.01811689 0.41510463 0.15803627 -0.38590965 -0.34918426 -0.49920323], Predicted=[0.94705262 0.05294738] X=[ 1.59426511 -0.37943543 1.28759423 0.57351123 -0.35578364 0.9815655 0.57983483 0.39210289 -1.11445795 -1.40076257 0.06967355], Predicted=[0.81858178 0.18141822] X=[-2.19818329 1.60500145 -2.43118509 2.40727376 -0.31000812 0.15829765 -0.24381617 1.49555981 1.20365029 0.70239405 -0.2553989 ], Predicted=[0.80782746 0.19217254] X=[-0.53898711 -0.18099175 -0.94367336 -0.25463959 -0.40155916 -0.72377504 -0.17321751 0.12459818 0.67379698 -1.48839409 -0.33666701], Predicted=[0.91614793 0.08385207] X=[-0.65750113 0.11667379 -0.36519658 -0.60956137 -0.40155916 -0.19453143 0.03857846 -1.51386815 -0.12098299 -1.13786799 1.85757201], Predicted=[0.48639266 0.51360734] X=[-0.06493106 -0.57787912 -0.1999175 0.10028219 -0.40155916 -0.13572658 -0.40854637 -0.75816735 -1.11445795 -0.87497341 1.126159 ], Predicted=[0.58175448 0.41824552] X=[-1.01304317 0.51356116 -0.6131152 -0.25463959 0.23929812 -1.13540897 -0.45561214 0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=[0.97107435 0.02892565] X=[-0.18344508 -1.47087572 -0.36519658 -0.21520384 0.23929812 -0.25333627 -0.38501348 0.12459818 1.66727194 -1.05023647 -0.66173945], Predicted=[0.81251724 0.18748276] X=[ 0.17209696 -0.77632281 0.54383836 -1.04335466 0.55972676 -0.31214112 -1.06746717 -0.26997126 -1.04822629 -0.96260494 -1.06808001], Predicted=[0.97064146 0.02935854] X=[ 0.527639 0.21589563 3.35358273 1.40166205 -0.31000812 0.62873642 0.62690061 1.39524554 -1.11445795 -0.78734189 -1.47442057], Predicted=[0.96745968 0.03254032] X=[-1.25007119 0.31511748 -0.1999175 0.21858945 0.28507364 1.15798004 2.15653818 0.29178862 0.01148034 -0.26155273 -0.58047134], Predicted=[0.94028935 0.05971065] X=[-1.48709922 -1.02437742 -0.36519658 -1.10250829 -0.12690604 -0.90018958 -1.6793222 -0.97217112 0.60756531 -0.08628968 -0.49920323], Predicted=[0.8347776 0.1652224] X=[-0.4204731 0.91044854 -0.28255704 -0.82645801 -0.58466124 0.2171025 -0.73800677 -1.70112144 0.21017533 0.35186795 2.42644879], Predicted=[0.31933573 0.68066427] X=[-0.89452915 0.61278301 1.0396756 -0.3335111 -0.76776332 -0.84138474 -1.04393428 -1.01229682 0.67379698 1.14055168 1.45123145], Predicted=[0.49407871 0.50592129] X=[ 3.01643326 -0.37943543 -0.36519658 0.41576822 -0.40155916 5.21551444 1.63881469 -0.02587322 -1.90923792 -0.96260494 0.394746 ], Predicted=[0.4284326 0.5715674] X=[-0.53898711 -1.17321019 -0.1999175 -0.21520384 -0.12690604 0.39351704 0.43863752 0.17475531 1.07118696 -0.17392121 -0.01159456], Predicted=[0.80834805 0.19165195] X=[-0.65750113 -0.77632281 2.03135009 -0.98420103 7.24295266 -1.19421382 -0.97333563 -0.31009697 -0.18721466 -0.52444731 -0.41793512], Predicted=[0.99649794 0.00350206] X=[-0.65750113 0.51356116 -1.10895244 2.26924862 0.92593092 0.04068796 0.53276906 1.69618834 -0.31967798 0.1766049 -1.39315246], Predicted=[0.94052897 0.05947103] X=[ 0.29061097 0.8112267 -1.10895244 -0.94476527 10.3099125 -0.6649702 0.03857846 -0.15628176 -0.51837298 1.22818321 -0.58047134], Predicted=[0.99857711 0.00142289] X=[ 1.35723709 -1.47087572 -0.69575474 -1.04335466 -0.58466124 -1.19421382 -1.23219737 -1.19955012 -1.37938461 -0.87497341 0.55728222], Predicted=[0.62328006 0.37671994] X=[-0.4204731 -0.28021359 0.95703606 0.27774308 0.10197156 0.9815655 1.16815698 0.57935618 0.077712 0.35186795 -1.14934812], Predicted=[0.93252093 0.06747907] X=[-0.53898711 0.21589563 0.37855928 0.27774308 0.01042052 -0.01811689 1.26228852 0.49241715 -0.58460464 -1.05023647 -1.23061624], Predicted=[0.97036245 0.02963755] X=[ 1.12020906 -1.27243203 -0.77839428 0.2580252 0.05619604 -0.84138474 -0.94980274 0.3586648 -1.64431127 -1.57602562 -0.74300757], Predicted=[0.91454084 0.08545916] X=[-0.30195909 -0.57787912 -0.44783612 1.11575284 0.55972676 -0.60616535 -0.31441482 1.51562266 1.7335036 -0.34918426 -0.90554379], Predicted=[0.91748139 0.08251861] X=[ 1.00169505 -0.03215898 -0.28255704 -1.06307253 -0.31000812 -0.95899443 -1.49105911 -0.67791594 -1.18068962 0.61476253 0.15094166], Predicted=[0.85798616 0.14201384] X=[ 2.30534919 0.01745194 0.95703606 -0.0771787 -1.08819196 -1.25301866 -2.10291414 -0.2097827 -1.18068962 -1.40076257 0.47601411], Predicted=[0.74583743 0.25416257] X=[-0.53898711 -0.28021359 3.35358273 0.27774308 -0.035355 0.9815655 1.66234758 0.52585524 0.14394366 -0.61207884 -1.06808001], Predicted=[0.95419821 0.04580179] X=[-2.07966928 0.51356116 -0.94367336 -0.94476527 -0.85931436 -1.01779928 -1.16159871 -1.58074433 2.13089358 -0.96260494 1.61376767], Predicted=[0.46478745 0.53521255] X=[-1.60561323 0.31511748 -0.36519658 -0.668715 -0.85931436 -1.13540897 -0.8556712 -1.12264251 0.27640699 0.61476253 0.55728222], Predicted=[0.70517912 0.29482088] X=[-0.4204731 -0.47865728 0.46119882 -0.88561164 -0.44733468 0.33471219 -0.94980274 -1.34667771 0.01148034 -0.52444731 1.126159 ], Predicted=[0.54385184 0.45614816] X=[-0.77601514 -0.57787912 -1.10895244 2.84106705 -0.4931102 1.33439458 1.07402544 2.07069493 -0.51837298 0.35186795 -1.23061624], Predicted=[0.82246865 0.17753135] X=[-0.53898711 -0.77632281 -1.52215014 0.04112856 0.01042052 -0.5473605 -0.59680945 0.0175963 -1.31315295 0.79002558 -0.49920323], Predicted=[0.88151757 0.11848243] X=[-0.30195909 -0.18099175 -0.77839428 0.15943582 -0.35578364 -0.42975081 -0.0320202 0.39210289 1.07118696 0.96528863 -0.09286267], Predicted=[0.79106708 0.20893292] X=[-0.06493106 4.23438032 -0.69575474 -0.62927925 0.10197156 -1.48823805 -1.91465106 0.6596076 1.13741862 0.26423642 -0.82427568], Predicted=[0.9931492 0.0068508] X=[ 1.23872307 1.60500145 -0.6131152 -0.38280579 -0.58466124 -0.72377504 -0.90273697 -0.95545207 -0.12098299 0.26423642 1.7763039 ], Predicted=[0.49927856 0.50072144] X=[ 0.29061097 -0.18099175 0.04800112 1.57912294 0.97170644 -0.01811689 1.19168986 1.52899789 -0.78329963 0.35186795 -1.14934812], Predicted=[0.95272739 0.04727261] X=[ 0.88318104 0.31511748 1.53551285 1.34250842 -0.17268156 1.51080912 0.22684155 1.45877791 -1.37938461 -0.17392121 -1.14934812], Predicted=[0.95032396 0.04967604] X=[ 1.35723709 1.20811407 -0.03463842 0.2580252 -0.53888572 -0.48855566 -0.94980274 -0.17634461 -0.05475133 -0.69971036 1.36996334], Predicted=[0.64201548 0.35798452] X=[-1.48709922e+00 6.12783009e-01 -2.82557040e-01 1.00282190e-01 -3.55783640e-01 -7.23775044e-01 -1.16159871e+00 -4.57224556e-01 4.08870320e-01 1.34184656e-03 4.76014110e-01], Predicted=[0.77167769 0.22832231] X=[ 0.64615301 -0.37943543 -0.6131152 -0.94476527 0.55972676 1.04037035 0.27390732 -0.14290653 -0.05475133 0.08897337 -0.49920323], Predicted=[0.91414702 0.08585298] X=[-0.30195909 -0.47865728 -1.10895244 0.98758664 -0.08113052 0.56993158 -0.17321751 0.67298283 -1.51184794 0.1766049 -0.66173945], Predicted=[0.88079498 0.11920502] X=[ 1.35723709 0.91044854 -0.11727796 -0.94476527 -0.2642326 -0.19453143 0.65043349 -0.67791594 -1.24692128 0.527131 0.63855033], Predicted=[0.86017163 0.13982837] X=[-2.90926737 0.41433932 0.46119882 -0.4123826 -0.7219878 -0.25333627 -0.26734905 -1.66768336 1.79973526 -1.13786799 1.85757201], Predicted=[0.39781569 0.60218431] X=[ 0.05358295 1.20811407 0.70911744 -0.03774295 0.92593092 0.33471219 0.88576235 0.49910477 -0.45214131 0.43949948 -0.90554379], Predicted=[0.97754207 0.02245793] X=[ 0.05358295 -0.67710097 -0.44783612 -0.78702226 0.46817572 0.80515096 0.48570329 0.12459818 -1.11445795 -0.17392121 -1.39315246], Predicted=[0.97295883 0.02704117] X=[-0.89452915 -0.77632281 -0.69575474 -1.02363678 -0.35578364 -0.07692173 -0.24381617 -0.64447785 0.34263866 -0.43681578 -0.33666701], Predicted=[0.86660078 0.13339922] X=[-0.53898711 -0.28021359 3.35358273 0.27774308 -0.035355 0.9815655 1.66234758 0.52585524 0.14394366 -0.61207884 -1.06808001], Predicted=[0.95419821 0.04580179] X=[-1.25007119 0.8112267 -0.11727796 -0.9250474 -0.58466124 -0.78257989 -0.99686851 -1.41355388 -1.04822629 -0.96260494 0.55728222], Predicted=[0.85917293 0.14082707] X=[-1.96115527 0.31511748 -1.10895244 -0.78702226 -0.85931436 -0.48855566 -0.50267791 -1.72787191 2.4620519 -0.34918426 2.02010823], Predicted=[0.23319517 0.76680483] X=[ 1.00169505 0.01745194 0.13064066 1.75658383 0.46817572 -0.25333627 -0.50267791 1.93025495 0.54133365 0.08897337 -0.74300757], Predicted=[0.90832347 0.09167653] X=[ 0.17209696 3.2917728 -0.6131152 -0.9250474 0.23929812 -0.60616535 0.53276906 0.19147436 1.13741862 0.96528863 0.06967355], Predicted=[0.97710788 0.02289212] X=[-1.01304317 1.50577961 0.04800112 0.23830733 -0.035355 -0.60616535 -0.47914502 -0.60435214 -1.04822629 -1.05023647 0.394746 ], Predicted=[0.88999971 0.11000029] X=[ 0.40912499 0.91044854 0.54383836 1.02702239 -0.63043676 -0.07692173 1.78001201 0.75992186 -0.58460464 0.1766049 -0.58047134], Predicted=[0.90006465 0.09993535] X=[-0.4204731 -0.57787912 -1.19159198 -1.04335466 0.83437988 0.04068796 1.23875564 -0.35356648 -0.91576296 0.08897337 -0.82427568], Predicted=[0.96368584 0.03631416] X=[ 1.12020906 0.01745194 -0.94367336 -0.98420103 0.46817572 -0.6649702 -0.1967504 0.12459818 0.60756531 -0.08628968 -0.82427568], Predicted=[0.94703702 0.05296298] X=[ 0.17209696 0.71200485 -1.35687106 -1.04335466 0.14774708 -1.66465259 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=[0.97069963 0.02930037] X=[ 1.35723709 -0.28021359 -0.6131152 1.50025143 -0.12690604 0.33471219 2.58013012 1.52899789 -1.04822629 0.70239405 -1.47442057], Predicted=[0.91520228 0.08479772] X=[-0.4204731 1.30733592 -0.94367336 -0.31379322 0.28507364 0.80515096 0.08564423 0.19147436 -0.31967798 1.14055168 -1.06808001], Predicted=[0.95797516 0.04202484] X=[-0.18344508 0.21589563 0.87439652 2.38755588 0.51395124 1.7460285 2.01534087 1.85000354 -0.51837298 0.35186795 -1.14934812], Predicted=[0.91581509 0.08418491] X=[-0.06493106 -0.77632281 -0.69575474 -0.03774295 0.28507364 -0.78257989 -0.76153965 -0.17634461 -0.6508363 0.43949948 0.23220977], Predicted=[0.79995837 0.20004163] X=[ 0.88318104 -0.28021359 7.4029202 -0.35322897 -0.4931102 0.92276066 3.66264287 -1.28648915 -1.04822629 -0.52444731 2.10137634], Predicted=[0.58398024 0.41601976] X=[-2.19818329 0.51356116 -1.4395106 -0.96448315 0.14774708 -1.48823805 -0.97333563 -0.7782302 1.93219859 -0.43681578 0.15094166], Predicted=[0.88427548 0.11572452] X=[ 0.527639 -0.87554465 -0.53047566 -0.94476527 -0.85931436 -0.01811689 -0.05555308 -0.51741311 1.26988195 0.43949948 0.394746 ], Predicted=[0.58725142 0.41274858] X=[-1.01304317 -1.07398834 1.28759423 -1.06307253 -0.53888572 -0.5473605 -0.76153965 -0.67791594 0.14394366 -0.61207884 -0.58047134], Predicted=[0.90296195 0.09703805] X=[ 1.23872307 -1.07398834 -0.11727796 -0.94476527 0.33084916 0.68754127 0.27390732 0.25835054 0.67379698 2.36739305 -0.74300757], Predicted=[0.85056248 0.14943752] X=[-0.53898711 0.31511748 -0.1999175 1.28335479 -0.035355 1.15798004 0.53276906 0.47904192 -1.11445795 0.87765711 -0.2553989 ], Predicted=[0.78881798 0.21118202] X=[ 1.00169505 1.10889223 0.04800112 0.71153637 0.46817572 -0.01811689 0.93282812 1.12774083 0.47510198 0.96528863 -0.2553989 ], Predicted=[0.92259447 0.07740553] X=[-1.13155718 0.61278301 -0.1999175 -0.86589377 -0.7219878 0.15829765 0.08564423 -1.70780906 1.40234528 -0.69971036 1.93884012], Predicted=[0.35152751 0.64847249] X=[ 0.64615301 0.31511748 3.35358273 0.8495615 -0.31000812 0.92276066 0.20330866 1.2280551 -1.11445795 -0.52444731 -1.47442057], Predicted=[0.9748418 0.0251582] X=[ 0.88318104 -1.37165388 3.35358273 -0.94476527 -0.2642326 -0.48855566 -0.83213831 -0.81166829 -0.78329963 -0.78734189 0.23220977], Predicted=[0.81939515 0.18060485] X=[-0.65750113 -0.47865728 -0.94367336 2.18051818 0.37662468 0.39351704 0.29744021 1.50559123 -0.45214131 0.96528863 -0.9868119 ], Predicted=[0.83923507 0.16076493] X=[-1.01304317 0.51356116 -1.10895244 -0.90532952 -0.67621228 0.80515096 0.48570329 -0.71135403 1.46857694 0.35186795 0.394746 ], Predicted=[0.72301896 0.27698104] X=[-0.06493106 0.21589563 -0.77839428 0.04112856 3.53513555 -0.01811689 -0.5262108 0.42554098 -0.78329963 -0.08628968 -0.90554379], Predicted=[0.9850691 0.0149309] X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.56806839 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=[0.95292891 0.04707109] X=[ 0.64615301 -0.0817699 -0.6131152 1.06645815 0.33084916 1.15798004 0.81516369 0.99064467 -0.51837298 0.96528863 -0.58047134], Predicted=[0.84473506 0.15526494] X=[-0.53898711 -1.07398834 0.04800112 1.38194417 -0.08113052 0.56993158 0.01504558 1.16786654 -0.8495313 -0.52444731 -1.14934812], Predicted=[0.91178171 0.08821829] X=[-0.65750113 0.61278301 -0.53047566 -0.76730438 -0.99664092 0.27590734 0.32097309 -1.02901587 1.07118696 0.96528863 1.126159 ], Predicted=[0.5027978 0.4972022] X=[-1.13155718 0.41433932 -1.10895244 1.57912294 0.1935226 -0.37094597 0.13271 0.88029898 0.34263866 -0.69971036 -0.17413078], Predicted=[0.85659185 0.14340815] X=[-0.18344508 -1.07398834 1.37023377 -0.84617589 -0.12690604 -0.48855566 -0.38501348 -0.57760167 -0.25344632 -0.34918426 -0.17413078], Predicted=[0.87359966 0.12640034] X=[ 0.527639 5.32582061 -2.01798739 0.98758664 -0.08113052 0.56993158 1.54468315 1.03745799 -0.25344632 -0.26155273 -1.23061624], Predicted=[0.98664088 0.01335912] X=[-1.48709922 -0.47865728 -0.69575474 0.31717883 -0.12690604 -0.25333627 -0.87920408 0.08781628 0.01148034 -0.61207884 -0.09286267], Predicted=[0.86364933 0.13635067] X=[-0.53898711 -0.18099175 -0.6131152 -1.04335466 0.28507364 -0.78257989 0.88576235 -0.33015982 -0.6508363 0.43949948 -0.9868119 ], Predicted=[0.96698064 0.03301936] X=[ 0.05358295 -0.77632281 0.2132802 -0.96448315 -0.67621228 0.15829765 0.20330866 -0.31009697 1.07118696 0.61476253 0.394746 ], Predicted=[0.74914321 0.25085679] X=[ 0.527639 -0.57787912 1.28759423 0.59322911 -0.53888572 -0.37094597 -0.10261885 -0.04259226 -1.31315295 -1.48839409 0.394746 ], Predicted=[0.7825296 0.2174704] X=[ 0.29061097 -0.28021359 -0.1999175 -0.80674014 0.1935226 -0.19453143 0.41510463 -0.87854447 -0.31967798 0.1766049 0.71981845], Predicted=[0.74446189 0.25553811] X=[ 0.64615301 0.01745194 -0.28255704 -0.21520384 0.37662468 0.51112673 0.53276906 0.02428392 -0.45214131 -0.08628968 -0.17413078], Predicted=[0.88813099 0.11186901] X=[ 0.64615301 -1.17321019 -0.28255704 1.4410978 0.46817572 -0.13572658 0.69749926 1.41196458 -1.90923792 -0.43681578 -1.47442057], Predicted=[0.95424097 0.04575903] X=[-2.43521132 3.68866018 -1.77006876 -1.04335466 -1.50017164 -1.84106713 -3.02069669 -0.52410073 0.87249197 -1.13786799 2.42644879], Predicted=[0.95070212 0.04929788] X=[-0.18344508 -1.47087572 -0.11727796 -0.53068986 -1.31706956 -0.19453143 -0.92626985 -0.18303223 -0.45214131 -0.43681578 -0.41793512], Predicted=[0.81757952 0.18242048] X=[ 1.35723709 -0.47865728 0.13064066 0.55379335 -0.08113052 1.04037035 1.12109121 0.99398848 -0.6508363 0.61476253 -0.82427568], Predicted=[0.89292069 0.10707931] X=[-5.38987115e-01 -1.80991745e-01 -7.78394281e-01 1.69280668e-03 -2.64232600e-01 -4.88555658e-01 -3.37947710e-01 -1.24636344e+00 2.10175327e-01 1.34184656e-03 1.69503579e+00], Predicted=[0.28975096 0.71024904] X=[-0.77601514 0.21589563 1.28759423 0.94815089 0.55972676 1.92244304 1.80354489 0.84686089 0.01148034 0.96528863 -0.90554379], Predicted=[0.91690397 0.08309603] X=[-0.53898711 -1.17321019 -0.69575474 -1.0039189 0.05619604 -0.90018958 -1.44399334 -0.24322079 2.79321022 0.43949948 -0.2553989 ], Predicted=[0.74426425 0.25573575] X=[-0.18344508 2.20033252 0.37855928 0.21858945 0.01042052 -0.5473605 0.86222946 0.86692374 0.87249197 0.43949948 -0.74300757], Predicted=[0.97519731 0.02480269] X=[ 0.88318104 0.01745194 0.46119882 -0.88561164 0.28507364 -0.72377504 -0.5262108 0.02428392 0.40887032 -0.78734189 -0.09286267], Predicted=[0.94159629 0.05840371] X=[ 0.29061097 -1.07398834 0.54383836 1.60869975 0.05619604 0.68754127 0.41510463 1.81322164 1.0049553 2.5426561 -1.14934812], Predicted=[0.78331015 0.21668985] X=[ 0.05358295 -0.9747665 0.37855928 0.33689671 0.14774708 0.51112673 0.88576235 0.59273142 0.74002864 0.43949948 -0.58047134], Predicted=[0.83520446 0.16479554] X=[-1.3685852 0.91044854 -0.28255704 -1.04335466 -0.76776332 -0.6649702 -1.1851316 -1.73790334 -0.05475133 -0.87497341 0.96362278], Predicted=[0.69528694 0.30471306] X=[ 0.05358295 0.51356116 -0.1999175 -0.43210048 -0.2642326 -0.84138474 -1.06746717 -1.48043006 -0.05475133 -0.08628968 2.34518068], Predicted=[0.33305393 0.66694607] X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=[0.88343897 0.11656103] X=[ 1.71277913 0.51356116 0.79175698 0.55379335 0.01042052 -0.78257989 -0.29088194 1.39524554 1.26988195 -0.17392121 -0.9868119 ], Predicted=[0.93977433 0.06022567] X=[ 2.30534919 -0.77632281 -0.44783612 -1.04335466 -1.27129404 -1.01779928 -1.56165777 -0.47728741 -1.44561627 -1.22549952 -0.09286267], Predicted=[0.83087294 0.16912706] X=[-1.13155718 -0.28021359 -0.77839428 0.19887157 -0.08113052 -0.84138474 -0.59680945 0.19816198 1.26988195 0.79002558 -0.01159456], Predicted=[0.78976327 0.21023673] X=[-0.4204731 0.51356116 -0.44783612 -0.05746082 -1.27129404 0.33471219 -0.83213831 -0.93873303 0.34263866 -1.48839409 1.36996334], Predicted=[0.44695427 0.55304573] X=[-0.30195909 0.61278301 0.04800112 -0.74758651 0.23929812 0.30530977 1.68588046 -0.29672173 -0.25344632 1.05292016 -0.41793512], Predicted=[0.93552767 0.06447233] X=[-1.60561323 0.3647284 0.37855928 -0.74758651 -0.58466124 -1.48823805 -1.63225643 -1.04573491 -0.45214131 0.87765711 0.23220977], Predicted=[0.84080628 0.15919372] X=[-0.06493106 -0.9747665 -0.77839428 0.67210061 0.55972676 1.68722366 1.16815698 0.39210289 -0.38590965 0.1766049 0.06967355], Predicted=[0.74603641 0.25396359] X=[-0.4204731 -0.57787912 3.18830365 0.08056431 -0.17268156 -0.13572658 0.69749926 0.59273142 -0.45214131 -1.13786799 -1.06808001], Predicted=[0.97529573 0.02470427] X=[ 0.88318104 -0.18099175 2.03135009 0.29746096 -0.21845708 1.56961397 0.97989389 0.86023613 -0.78329963 -0.96260494 -1.23061624], Predicted=[0.96010601 0.03989399] X=[-0.53898711 -0.37943543 -0.69575474 2.72275979 1.70411476 -0.01811689 0.43863752 1.91687972 -0.12098299 0.08897337 -1.14934812], Predicted=[0.91023085 0.08976915] X=[-0.06493106 -0.47865728 0.54383836 -0.94476527 0.05619604 -1.78226228 -0.12615174 -0.34353506 0.27640699 1.84160389 0.71981845], Predicted=[0.85145645 0.14854355] X=[ 0.76466702 0.51356116 -0.44783612 -0.29407534 -0.17268156 -0.84138474 0.39157175 -0.0593113 1.13741862 0.70239405 0.31347789], Predicted=[0.76254689 0.23745311] X=[-1.25007119e+00 6.62393931e-01 -1.52215014e+00 8.69279380e-01 -5.84661239e-01 -5.47360505e-01 -4.32079253e-01 3.05163859e-01 4.08870320e-01 1.34184656e-03 -4.17935119e-01], Predicted=[0.8150472 0.1849528] X=[ 2.54237721 -0.18099175 0.04800112 0.06084644 -0.76776332 -0.84138474 0.55630195 0.31519529 -0.71706797 0.08897337 0.06967355], Predicted=[0.77792498 0.22207502] X=[ 0.05358295 0.21589563 -1.0263129 1.83545534 0.46817572 0.80515096 0.48570329 1.4186522 -0.51837298 -0.08628968 -1.23061624], Predicted=[0.90684001 0.09315999] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[-0.06493106 -0.28021359 0.37855928 0.33689671 0.01042052 -0.6649702 0.39157175 0.52585524 0.93872363 0.87765711 -0.2553989 ], Predicted=[0.84089552 0.15910448] X=[ 0.40912499 0.61278301 0.87439652 -0.43210048 0.05619604 0.92276066 0.13271 -1.01229682 -1.18068962 2.36739305 1.45123145], Predicted=[0.53236429 0.46763571] X=[-0.53898711 0.51356116 -0.1999175 -0.17576808 0.10197156 0.39351704 0.81516369 0.3586648 0.01148034 1.49107779 -0.9868119 ], Predicted=[0.94505789 0.05494211] X=[-0.4204731 0.11667379 -0.1999175 -0.9250474 -0.4931102 -0.6649702 -1.39692757 -1.16945584 0.54133365 1.75397237 0.71981845], Predicted=[0.53738737 0.46261263] X=[-0.18344508 -0.37943543 -0.11727796 0.5143576 -1.04241644 -0.90018958 -0.690941 -0.47059979 1.0049553 -1.22549952 1.69503579], Predicted=[0.32132802 0.67867198] X=[ 0.05358295 -0.77632281 0.54383836 0.2580252 -0.63043676 0.92276066 0.88576235 -0.04259226 0.21017533 -1.92655172 0.71981845], Predicted=[0.69801938 0.30198062] X=[-0.30195909 0.8112267 1.53551285 0.73125424 0.1935226 -0.37094597 0.03857846 0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.97201544 0.02798456] X=[-0.65750113 -0.28021359 -0.94367336 -0.60956137 0.10197156 0.33471219 0.53276906 -0.49066264 -0.18721466 0.08897337 -0.01159456], Predicted=[0.85791884 0.14208116] X=[-0.53898711 -0.57787912 -0.11727796 0.29746096 -0.76776332 -0.07692173 -0.33794771 0.25835054 1.40234528 -0.87497341 -0.2553989 ], Predicted=[0.75011825 0.24988175] X=[ 1.12020906 -0.67710097 -0.53047566 -1.02363678 0.23929812 -0.90018958 -1.16159871 -0.14290653 -0.8495313 -0.26155273 -1.14934812], Predicted=[0.95178473 0.04821527] X=[-0.77601514 0.21589563 -1.10895244 0.04112856 -0.035355 0.39351704 0.74456503 0.12459818 1.13741862 -0.34918426 -0.09286267], Predicted=[0.84223852 0.15776148] X=[-0.30195909 0.21589563 -0.69575474 0.31717883 -0.44733468 -0.84138474 -0.33794771 -0.13621891 -0.8495313 -0.96260494 0.23220977], Predicted=[0.8463148 0.1536852] X=[ 1.23872307e+00 -2.80213589e-01 1.30640662e-01 6.08464367e-02 -3.10008120e-01 -7.82579890e-01 -1.74992086e+00 -1.36218907e-01 -1.71054293e+00 1.34184656e-03 1.50941663e-01], Predicted=[0.80680232 0.19319768] X=[ 0.64615301 -0.9747665 -0.28255704 0.47492185 0.83437988 -0.5473605 -0.83213831 0.69304568 -1.64431127 0.61476253 -0.9868119 ], Predicted=[0.93981016 0.06018984] X=[ 0.64615301 -0.67710097 -0.28255704 0.33689671 0.05619604 -1.31182351 -0.57327657 0.02428392 -0.45214131 -1.22549952 -0.01159456], Predicted=[0.81582073 0.18417927] X=[-0.06493106 -0.57787912 -0.6131152 -1.02363678 -0.21845708 -0.37094597 1.02695966 -0.99892159 -0.98199462 -1.22549952 0.55728222], Predicted=[0.85171329 0.14828671] X=[ 0.88318104 2.00188883 -0.03463842 0.12000007 -0.99664092 -1.25301866 -0.1967504 -0.74479212 0.40887032 -0.34918426 1.61376767], Predicted=[0.51194299 0.48805701] X=[ 0.05358295 -0.87554465 1.28759423 0.04112856 -0.44733468 0.80515096 0.79163081 -0.27665888 0.077712 -1.92655172 0.80108656], Predicted=[0.71152394 0.28847606] X=[ 1.35723709 1.70422329 -0.44783612 0.86927938 0.23929812 -0.60616535 0.43863752 0.55929333 -0.8495313 -0.17392121 0.71981845], Predicted=[0.8756605 0.1243395] X=[ 0.40912499 1.60500145 -0.44783612 -0.58984349 0.10197156 -0.78257989 -0.62034234 -0.71804165 0.14394366 -1.05023647 0.63855033], Predicted=[0.8626778 0.1373222] X=[-2.19818329 -0.37943543 0.04800112 -1.04335466 -0.53888572 0.80515096 0.46217041 -2.1023785 0.87249197 -1.48839409 2.10137634], Predicted=[0.35145859 0.64854141] X=[-0.53898711 0.01745194 0.95703606 0.43548609 0.51395124 0.68754127 1.99180798 0.84017327 -0.18721466 0.1766049 -1.14934812], Predicted=[0.96809483 0.03190517] X=[ 1.35723709 -0.37943543 0.2132802 -0.96448315 0.05619604 -1.07660412 -0.22028328 0.25835054 0.077712 0.43949948 -0.41793512], Predicted=[0.94480665 0.05519335] X=[-0.65750113 0.8112267 -1.10895244 -0.86589377 0.10197156 0.74634612 1.23875564 -0.37697314 -0.12098299 0.1766049 -0.74300757], Predicted=[0.94704291 0.05295709] X=[-0.06493106 -1.17321019 -1.27423152 -0.90532952 0.01042052 -0.25333627 -0.57327657 -0.59097691 0.54133365 0.527131 0.23220977], Predicted=[0.70624989 0.29375011] X=[ 0.64615301 -0.18099175 -0.11727796 -0.53068986 -0.63043676 -0.37094597 1.28582141 -0.89860732 -0.58460464 1.57870931 1.61376767], Predicted=[0.46908349 0.53091651] X=[ 0.17209696 -0.57787912 -0.28255704 -0.98420103 -0.2642326 -1.25301866 -1.77345374 -1.39683484 0.077712 -1.40076257 1.20742712], Predicted=[0.58052409 0.41947591] X=[-0.77601514 -0.67710097 -0.6131152 1.32279054 0.1935226 1.39319943 0.27390732 1.23474272 0.8062603 -0.26155273 -1.23061624], Predicted=[0.86828882 0.13171118] X=[-1.01304317 -1.07398834 -0.36519658 -0.27435747 -0.81353884 -0.60616535 -0.71447388 -1.09254824 -0.31967798 -1.31313104 1.45123145], Predicted=[0.4991819 0.5008181] X=[-0.06493106 -0.0817699 -0.11727796 -0.96448315 -0.08113052 -0.95899443 0.08564423 -0.64447785 -0.58460464 -0.52444731 -0.49920323], Predicted=[0.93027027 0.06972973] X=[-0.89452915 -1.27243203 0.54383836 -1.02363678 -0.7219878 -0.95899443 -1.27926314 -1.59411956 0.01148034 4.12002357 2.02010823], Predicted=[0.18518827 0.81481173] X=[-0.18344508 -0.47865728 -0.69575474 -0.94476527 -0.44733468 -0.42975081 0.10917712 -0.49066264 0.74002864 0.43949948 -0.17413078], Predicted=[0.81315395 0.18684605] X=[ 0.17209696 0.61278301 -0.28255704 -0.90532952 -0.035355 0.51112673 0.08564423 -0.87854447 -1.31315295 -0.34918426 0.23220977], Predicted=[0.88809451 0.11190549] X=[ 1.12020906 0.21589563 -0.36519658 2.06221092 0.37662468 -0.72377504 -0.07908597 1.93025495 -0.18721466 -0.96260494 -1.23061624], Predicted=[0.93875148 0.06124852] X=[ 0.76466702 0.11667379 0.2132802 1.83545534 0.1935226 -0.37094597 -0.33794771 0.9271123 -0.8495313 0.43949948 -0.09286267], Predicted=[0.73681205 0.26318795] X=[-1.01304317 0.71200485 1.0396756 -1.08279041 -0.58466124 -1.54704289 -1.72638797 -1.56736909 0.34263866 -1.22549952 1.28869523], Predicted=[0.74255506 0.25744494] X=[ 0.05358295 -0.18099175 0.37855928 0.81012575 -0.08113052 -0.13572658 0.01504558 0.38207146 -0.8495313 0.08897337 -0.17413078], Predicted=[0.83689224 0.16310776] X=[ 0.527639 -0.0817699 0.46119882 0.06084644 0.83437988 -0.42975081 1.16815698 0.59273142 0.67379698 -1.66365715 -0.66173945], Predicted=[0.95893571 0.04106429] X=[-0.06493106 -0.0817699 -0.94367336 0.33689671 -0.53888572 1.15798004 1.52115026 0.69304568 0.01148034 0.26423642 -1.31188435], Predicted=[0.91093099 0.08906901] X=[-0.18344508 0.8112267 -0.44783612 0.37633246 -0.53888572 -0.37094597 -1.3498618 -0.84176257 -1.51184794 -0.87497341 1.61376767], Predicted=[0.58529573 0.41470427] X=[-1.48709922 -0.72671189 -1.4395106 1.21434222 0.23929812 -0.25333627 -0.54974368 0.53923048 1.40234528 -0.96260494 0.23220977], Predicted=[0.68261685 0.31738315] X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.31000812 -0.48855566 -0.94980274 -1.41355388 -0.6508363 -0.26155273 1.45123145], Predicted=[0.51556978 0.48443022] X=[-0.30195909 -0.47865728 0.29591974 0.41576822 -0.44733468 0.62873642 0.34450598 0.57935618 0.077712 -0.08628968 -0.90554379], Predicted=[0.8896117 0.1103883] X=[-0.4204731 0.51356116 -0.28255704 -0.51097199 -0.44733468 -0.07692173 -1.1851316 -1.25305106 0.40887032 1.22818321 1.61376767], Predicted=[0.36458132 0.63541868] X=[-2.3166973 0.66239393 0.04800112 -1.06307253 1.01748196 -0.19453143 0.10917712 -0.88523209 0.34263866 -0.78734189 -0.33666701], Predicted=[0.96648699 0.03351301] X=[ 0.527639 0.01745194 0.2132802 1.24391904 -0.2642326 0.15829765 0.03857846 1.32836936 0.74002864 2.63028763 -0.74300757], Predicted=[0.76834399 0.23165601] X=[ 0.527639 -0.0817699 -0.28255704 -1.0039189 -0.2642326 -0.5473605 -1.27926314 -0.60435214 0.60756531 0.35186795 0.15094166], Predicted=[0.77601462 0.22398538] X=[-0.4204731 -0.0817699 -1.19159198 0.04112856 -0.035355 3.68658844 0.86222946 -0.12953129 -0.18721466 -1.31313104 -0.33666701], Predicted=[0.78725488 0.21274512] X=[-0.4204731 -0.67710097 0.70911744 -1.04335466 0.60550228 -0.13572658 -0.87920408 -0.44384932 -0.45214131 -0.96260494 -0.66173945], Predicted=[0.95732729 0.04267271] X=[ 0.527639 -0.9747665 2.60982687 -0.98420103 0.01042052 -0.42975081 0.43863752 0.19147436 0.93872363 1.14055168 -0.90554379], Predicted=[0.93519555 0.06480445] X=[-0.77601514 1.00967039 0.70911744 -0.76730438 -0.35578364 -0.07692173 -0.50267791 -0.90529494 1.13741862 0.87765711 0.88235467], Predicted=[0.70110738 0.29889262] X=[-0.4204731 -0.9747665 -0.03463842 -0.98420103 -0.76776332 -0.01811689 -0.00848731 -0.9654835 1.13741862 0.96528863 0.80108656], Predicted=[0.47967234 0.52032766] X=[-0.89452915 0.01745194 0.13064066 1.26363691 0.10197156 1.62841881 2.13300529 1.16117892 -0.71706797 -0.78734189 -1.31188435], Predicted=[0.95834586 0.04165414] X=[ 2.66089123 0.01745194 1.28759423 -0.86589377 0.60550228 -1.48823805 -0.62034234 0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=[0.97166491 0.02833509] X=[-1.96115527 -0.92515558 -0.94367336 -1.06307253 -0.7219878 0.68754127 -0.3614806 -0.61772738 2.39582024 -0.43681578 -0.29603295], Predicted=[0.74917587 0.25082413] X=[-0.06493106 1.50577961 -0.28255704 -0.57012562 -0.58466124 -0.48855566 -0.07908597 -1.14604918 -1.24692128 -1.05023647 1.20742712], Predicted=[0.8127602 0.1872398] X=[-1.25007119 0.61278301 -1.0263129 0.15943582 -0.21845708 0.74634612 0.17977578 0.12794199 -0.18721466 0.00134185 -0.58047134], Predicted=[0.91461886 0.08538114] X=[ 0.40912499 -0.0817699 3.35358273 1.20448328 -0.40155916 0.68754127 0.41510463 1.36180745 -0.98199462 -0.43681578 -1.47442057], Predicted=[0.9647721 0.0352279] X=[ 0.05358295 1.70422329 -0.53047566 -0.3335111 -0.4931102 -1.07660412 -1.37339468 -1.15273679 -0.45214131 -1.13786799 1.61376767], Predicted=[0.67793 0.32207] X=[ 1.23872307 -0.67710097 0.46119882 -0.86589377 0.51395124 -0.84138474 -0.00848731 -0.75816735 -0.91576296 0.26423642 0.31347789], Predicted=[0.81297813 0.18702187] X=[-1.72412724 1.80344514 -1.52215014 -0.84617589 -0.90508988 -0.37094597 -0.1967504 -1.50383672 1.33611362 2.45502457 2.34518068], Predicted=[0.34098969 0.65901031] X=[ 0.17209696 -0.57787912 -0.03463842 -0.84617589 0.28507364 -1.19421382 -1.46752623 -0.34353506 0.077712 -0.69971036 0.06967355], Predicted=[0.90313538 0.09686462] X=[-0.4204731 0.21589563 0.46119882 0.27774308 -0.35578364 1.51080912 1.89767644 0.62616951 0.01148034 0.08897337 -0.90554379], Predicted=[0.93309276 0.06690724] X=[ 0.17209696 1.70422329 0.04800112 2.64388828 -0.2642326 -1.37062835 -1.6793222 1.19461701 -0.78329963 -0.96260494 0.394746 ], Predicted=[0.79186345 0.20813655] X=[ 0.64615301 0.11667379 -0.44783612 0.75097212 -0.63043676 0.45232188 -0.00848731 0.3586648 -0.58460464 -0.17392121 0.06967355], Predicted=[0.73538198 0.26461802] X=[-0.18344508 1.90266698 -0.36519658 -0.32365216 -0.53888572 -0.37094597 -0.10261885 -1.15942441 0.67379698 -0.26155273 2.02010823], Predicted=[0.50243707 0.49756293] X=[-2.19818329 3.2917728 -1.77006876 -1.0039189 -1.68327372 1.7460285 -0.90273697 -2.216068 0.47510198 -1.05023647 2.42644879], Predicted=[0.4148988 0.5851012] X=[-0.06493106 -1.37165388 -1.27423152 -0.98420103 0.05619604 -0.31214112 -1.13806583 -0.79829306 0.54133365 0.43949948 0.55728222], Predicted=[0.61503461 0.38496539] X=[ 1.35723709 0.21589563 1.28759423 0.59322911 0.01042052 0.68754127 1.16815698 0.79335995 -0.31967798 -0.08628968 -0.41793512], Predicted=[0.89631619 0.10368381] X=[-0.30195909 -0.57787912 -0.86103382 2.15094136 0.05619604 0.09949281 -0.47914502 1.6828131 -0.71706797 -0.26155273 -1.39315246], Predicted=[0.90359097 0.09640903] X=[ 0.05358295 -0.28021359 -0.03463842 -1.02363678 -0.4931102 -0.01811689 0.46217041 -1.07248538 -1.11445795 0.79002558 0.63855033], Predicted=[0.75121204 0.24878796] X=[-0.53898711 0.11667379 -1.10895244 1.81573746 -0.2642326 -0.90018958 0.08564423 0.72648377 -0.58460464 0.43949948 0.06967355], Predicted=[0.70932302 0.29067698] X=[-0.77601514 1.00967039 -1.27423152 0.19887157 2.25342099 -0.42975081 1.33288718 1.23808652 2.26335691 1.92923542 -1.06808001], Predicted=[0.97763478 0.02236522] X=[-8.94529153e-01 -9.74766499e-01 3.78559282e-01 -8.06740136e-01 -5.84661239e-01 -4.29750812e-01 -6.43875225e-01 -1.47374244e+00 -1.87214657e-01 1.34184656e-03 1.53249956e+00], Predicted=[0.44894382 0.55105618] X=[-0.65750113 -0.37943543 -0.94367336 1.08617602 0.1935226 1.7460285 0.95636101 0.85689232 -0.8495313 0.79002558 -0.9868119 ], Predicted=[0.88013204 0.11986796] X=[ 1.12020906 0.41433932 -0.03463842 0.79040787 -0.67621228 0.68754127 1.30935429 0.96723801 -0.78329963 0.79002558 -0.74300757], Predicted=[0.8878718 0.1121282] X=[ 0.40912499 -0.47865728 0.46119882 1.53968719 0.55972676 0.80515096 1.26228852 1.29493128 -1.37938461 -0.08628968 -1.23061624], Predicted=[0.93593476 0.06406524] X=[-0.30195909 -0.37943543 -0.53047566 -0.98420103 0.51395124 -0.13572658 0.32097309 -0.2097827 0.21017533 0.61476253 -0.82427568], Predicted=[0.94093934 0.05906066] X=[-0.06493106 -1.37165388 0.13064066 -0.96448315 0.05619604 0.27590734 -0.50267791 -0.97551493 -0.78329963 2.01686694 0.47601411], Predicted=[0.62129135 0.37870865] X=[-0.65750113 -0.9747665 -0.94367336 -0.15605021 0.05619604 0.56993158 0.20330866 -0.06599892 -0.6508363 0.43949948 -0.41793512], Predicted=[0.8571733 0.1428267] X=[ 0.17209696 -0.37943543 -1.27423152 -1.0039189 0.01042052 -1.54704289 -1.79698663 -0.00915417 1.26988195 -0.17392121 -0.33666701], Predicted=[0.91014004 0.08985996] X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525] X=[-0.4204731 0.41433932 -1.77006876 1.00730452 -0.58466124 -0.01811689 0.62690061 1.12774083 0.21017533 -1.48839409 -1.23061624], Predicted=[0.94517158 0.05482842] X=[ 0.17209696 2.49799805 0.79175698 -0.05746082 -0.76776332 -1.72345743 -1.46752623 -0.95210826 -0.71706797 0.08897337 1.61376767], Predicted=[0.72420755 0.27579245] X=[ 0.88318104 -0.9747665 -0.44783612 0.13971794 -0.21845708 -0.37094597 -0.66740811 0.83348566 0.077712 -0.61207884 -1.06808001], Predicted=[0.92106245 0.07893755] X=[ 0.05358295 -1.37165388 0.37855928 -1.06307253 -0.21845708 -0.78257989 -1.3498618 -1.20289393 -1.04822629 0.43949948 0.71981845], Predicted=[0.66909637 0.33090363] X=[ 1.00169505 -0.9747665 0.13064066 -0.11661445 0.4224002 -0.60616535 0.13271 0.57935618 0.34263866 0.43949948 -0.2553989 ], Predicted=[0.88828643 0.11171357] X=[-0.18344508 0.51356116 0.04800112 0.21858945 -0.44733468 0.2171025 -0.33794771 -0.93538922 -1.31315295 -1.48839409 1.53249956], Predicted=[0.6054621 0.3945379] X=[ 0.527639 -0.87554465 -0.53047566 1.48053356 0.51395124 0.56993158 0.39157175 1.35177603 -1.64431127 -0.69971036 -1.39315246], Predicted=[0.94316018 0.05683982] X=[-0.18344508 -1.17321019 0.2132802 -0.86589377 -0.035355 -0.6649702 -0.17321751 -0.397036 0.74002864 0.87765711 -0.01159456], Predicted=[0.79445695 0.20554305] X=[-0.89452915 0.01745194 -0.77839428 2.67346509 1.29213508 -0.19453143 0.83869658 1.73631404 0.01148034 -0.43681578 -0.9868119 ], Predicted=[0.91020568 0.08979432] X=[-1.01304317 -0.37943543 -0.44783612 -0.48139517 -0.35578364 1.51080912 -0.10261885 -0.85848162 0.74002864 0.43949948 0.63855033], Predicted=[0.52040667 0.47959333] X=[-0.06493106 -1.07398834 3.35358273 -0.78702226 0.33084916 1.51080912 1.02695966 0.42554098 2.92567355 2.36739305 -0.01159456], Predicted=[0.79671783 0.20328217] X=[-1.01304317 0.41433932 -0.28255704 -0.88561164 -0.58466124 0.33471219 0.08564423 -1.64093288 0.67379698 -0.61207884 1.85757201], Predicted=[0.4304048 0.5695952] X=[-0.65750113 -0.0817699 -0.69575474 -0.11661445 -0.35578364 0.9815655 0.39157175 0.32522671 0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165] X=[ 0.76466702 0.01745194 0.46119882 0.75097212 -0.035355 1.39319943 1.66234758 1.06086466 -0.18721466 1.22818321 -0.74300757], Predicted=[0.88605204 0.11394796] X=[ 0.527639 -0.47865728 0.6264779 1.61855869 0.10197156 2.21646728 1.99180798 1.53902932 -0.18721466 1.92923542 -0.90554379], Predicted=[0.80757281 0.19242719] X=[ 0.05358295 0.91044854 -0.44783612 1.46081568 -0.67621228 -0.07692173 -0.0320202 0.25835054 -0.58460464 -1.05023647 0.88235467], Predicted=[0.63134283 0.36865717] X=[-0.89452915 0.8112267 2.03135009 1.6974302 -0.08113052 0.39351704 -0.54974368 1.26149319 -0.25344632 0.1766049 -1.23061624], Predicted=[0.94187587 0.05812413] X=[ 0.17209696 0.11667379 0.29591974 -0.94476527 -0.4931102 -0.07692173 -0.29088194 -1.15273679 0.47510198 -0.17392121 1.45123145], Predicted=[0.55984263 0.44015737] X=[-0.53898711 1.40655776 3.35358273 1.26363691 1.38368612 0.74634612 1.66234758 1.26149319 -0.45214131 0.79002558 -1.23061624], Predicted=[0.98404799 0.01595201] X=[-0.06493106 0.11667379 -0.94367336 -0.58984349 -0.4931102 0.27590734 -0.38501348 -1.26642629 -0.6508363 -0.17392121 1.45123145], Predicted=[0.49789147 0.50210853] X=[-1.13155718 -1.57009756 -0.53047566 -0.31379322 -0.7219878 0.27590734 -0.66740811 -0.59097691 2.39582024 1.66634084 1.28869523], Predicted=[0.20817123 0.79182877] X=[ 0.29061097 -0.18099175 -0.11727796 1.58898188 1.29213508 -0.37094597 -0.73800677 1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=[0.96150712 0.03849288] X=[-0.30195909 -0.57787912 1.61815239 1.71714808 0.28507364 -0.78257989 -0.05555308 1.52899789 -1.64431127 -1.22549952 -0.90554379], Predicted=[0.97254838 0.02745162] X=[ 0.29061097 -0.67710097 0.54383836 -1.02363678 1.06325748 -0.6649702 0.41510463 -0.41041123 1.53480861 -0.52444731 0.06967355], Predicted=[0.87802518 0.12197482] X=[ 0.527639 -0.18099175 1.28759423 -0.27435747 -0.81353884 -0.19453143 -0.73800677 -0.14290653 0.34263866 0.43949948 0.23220977], Predicted=[0.73902868 0.26097132] X=[-0.18344508 -0.28021359 -1.68742922 -1.02363678 -0.21845708 2.68690605 0.83869658 -0.67791594 -0.31967798 -0.61207884 -0.58047134], Predicted=[0.83925661 0.16074339] X=[-0.4204731 0.01745194 -0.44783612 0.41576822 0.05619604 1.09917519 1.68588046 0.72648377 -0.6508363 0.43949948 -1.31188435], Predicted=[0.95204272 0.04795728] X=[-0.77601514 -0.77632281 -0.69575474 1.6974302 0.4224002 -1.60584774 -0.43207925 1.21802367 0.01148034 0.35186795 -0.74300757], Predicted=[0.87703963 0.12296037] X=[ 1.94980715 -1.27243203 1.28759423 -0.96448315 -0.67621228 -1.07660412 -0.38501348 -0.27665888 -1.04822629 -0.78734189 -0.17413078], Predicted=[0.88129575 0.11870425] X=[ 0.05358295 0.71200485 0.46119882 -0.78702226 0.10197156 -0.60616535 0.43863752 -0.90195113 0.077712 0.43949948 0.47601411], Predicted=[0.81220574 0.18779426] X=[-0.53898711 -0.67710097 0.87439652 0.19887157 -0.035355 0.68754127 1.02695966 0.55929333 0.34263866 -0.26155273 -1.14934812], Predicted=[0.9311303 0.0688697] X=[-0.53898711 -0.0817699 -0.28255704 -0.94476527 -0.2642326 -0.95899443 -1.23219737 -1.04907872 0.87249197 1.40344626 0.80108656], Predicted=[0.59304022 0.40695978] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[-0.53898711 0.11667379 -1.27423152 1.6974302 -0.2642326 -0.84138474 -0.5262108 1.1143656 -0.31967798 0.08897337 -1.06808001], Predicted=[0.87333429 0.12666571] X=[-0.89452915 0.91044854 0.2132802 -0.3335111 -0.4931102 0.04068796 -0.5262108 -1.01229682 0.8062603 1.14055168 1.69503579], Predicted=[0.45519497 0.54480503] X=[ 0.05358295 0.21589563 -0.03463842 -0.45181836 -0.4931102 -0.5473605 0.39157175 -0.5107255 0.40887032 2.63028763 1.45123145], Predicted=[0.53637522 0.46362478] X=[ 0.05358295 -0.18099175 -0.53047566 -0.43210048 -0.67621228 -0.90018958 -1.37339468 -1.04907872 -0.45214131 -0.87497341 0.80108656], Predicted=[0.60255098 0.39744902] X=[-0.77601514 0.11667379 -0.86103382 1.18476541 0.10197156 -0.13572658 1.47408449 0.6997333 -0.51837298 0.61476253 -0.49920323], Predicted=[0.87760822 0.12239178] X=[-0.18344508 -1.47087572 0.95703606 -0.43210048 -0.12690604 0.9815655 -0.17321751 -0.80498067 -0.8495313 0.43949948 0.63855033], Predicted=[0.5953703 0.4046297] X=[ 0.527639 2.29955436 -0.36519658 0.96786876 -0.53888572 1.51080912 2.01534087 0.93714373 -0.31967798 0.61476253 -0.82427568], Predicted=[0.92748783 0.07251217] X=[-1.01304317 0.11667379 -0.53047566 -0.80674014 -0.08113052 -0.90018958 -0.50267791 -1.51386815 0.8062603 -0.69971036 1.7763039 ], Predicted=[0.50714055 0.49285945] X=[ 0.17209696 0.31511748 0.13064066 -0.94476527 0.78860436 -1.31182351 -0.45561214 -0.73141688 0.21017533 0.08897337 0.15094166], Predicted=[0.89363644 0.10636356] X=[ 1.83129314 2.99410727 -0.53047566 1.13547071 -0.58466124 0.09949281 -0.5262108 0.62616951 -1.31315295 -0.87497341 0.23220977], Predicted=[0.89012325 0.10987675] X=[-0.06493106 -1.27243203 0.6264779 1.28335479 -0.08113052 2.59869878 1.05049255 1.13442845 0.34263866 2.5426561 -0.2553989 ], Predicted=[0.58017459 0.41982541] X=[ 1.94980715 -0.37943543 1.12231514 1.73686595 0.51395124 0.27590734 2.25066972 2.16432157 -1.11445795 1.49107779 -1.23061624], Predicted=[0.95035453 0.04964547] X=[-0.06493106 -0.0817699 -0.6131152 1.91432684 0.14774708 1.15798004 1.35642006 1.46212172 -0.25344632 0.08897337 -0.9868119 ], Predicted=[0.86588513 0.13411487] X=[ 0.40912499 1.20811407 -0.77839428 0.41576822 0.4224002 0.56993158 0.29744021 0.74654663 0.077712 0.26423642 -1.06808001], Predicted=[0.9472966 0.0527034] X=[ 1.12020906 0.11667379 -0.36519658 -0.63913818 -0.08113052 0.33471219 -0.50267791 -0.83507495 0.34263866 -1.22549952 0.80108656], Predicted=[0.62395661 0.37604339] X=[ 0.05358295 -0.47865728 0.54383836 0.21858945 -0.2642326 0.86395581 0.29744021 -0.44384932 -0.51837298 -1.92655172 0.71981845], Predicted=[0.69017842 0.30982158] X=[-0.53898711 -0.9747665 -0.11727796 0.63266486 0.28507364 -0.6649702 -1.13806583 0.75992186 1.07118696 0.00134185 -0.90554379], Predicted=[0.86735213 0.13264787] X=[-1.72412724 2.20033252 -1.68742922 -0.27435747 -0.81353884 -1.37062835 -0.73800677 -1.08251681 1.93219859 3.41897136 2.42644879], Predicted=[0.28357053 0.71642947] X=[-0.06493106 -0.9747665 0.29591974 -0.96448315 -0.85931436 0.09949281 -1.06746717 -0.67791594 0.74002864 -0.34918426 0.23220977], Predicted=[0.6892942 0.3107058] X=[-1.01304317 1.00967039 -0.6131152 -0.0771787 -0.53888572 0.39351704 -0.10261885 -0.94542065 1.26988195 -0.96260494 1.45123145], Predicted=[0.48601873 0.51398127] X=[ 1.23872307 1.30733592 0.29591974 -0.37294685 -0.7219878 0.27590734 -0.57327657 -0.67791594 -0.12098299 0.43949948 1.53249956], Predicted=[0.5574287 0.4425713] X=[-0.18344508 -0.9747665 -0.1999175 0.82984363 -0.4931102 0.39351704 0.10917712 0.56598095 -0.71706797 0.00134185 -0.58047134], Predicted=[0.81412172 0.18587828] X=[-0.18344508 -0.37943543 0.6264779 -0.68843288 -0.31000812 0.74634612 -0.38501348 -1.17279965 0.40887032 -0.52444731 1.20742712], Predicted=[0.49448037 0.50551963] X=[ 0.05358295 -0.28021359 -0.6131152 -0.23492171 -0.99664092 0.04068796 -0.07908597 0.25835054 -0.18721466 2.01686694 0.15094166], Predicted=[0.7928332 0.2071668] X=[-0.65750113 -0.28021359 0.87439652 1.02702239 -0.21845708 0.74634612 1.33288718 0.9271123 -0.05475133 0.26423642 -0.82427568], Predicted=[0.90234229 0.09765771] X=[-0.30195909 0.11667379 0.87439652 0.5143576 0.33084916 1.56961397 0.93282812 0.94383135 -1.11445795 -0.34918426 -1.31188435], Predicted=[0.97560139 0.02439861] X=[-1.48709922 -0.87554465 1.12231514 -0.37294685 -0.7219878 -0.95899443 -0.62034234 -0.61103976 2.4620519 -0.34918426 0.55728222], Predicted=[0.56704466 0.43295534] X=[ 1.23872307 -1.17321019 -0.28255704 0.19887157 0.1935226 1.33439458 0.32097309 0.6997333 -0.45214131 -1.05023647 -0.82427568], Predicted=[0.89399687 0.10600313] X=[ 1.35723709e+00 -2.80213589e-01 1.28759423e+00 5.14357600e-01 -8.11305203e-02 -2.53336273e-01 1.09755832e+00 1.32836936e+00 1.00495530e+00 1.34184656e-03 -4.17935119e-01], Predicted=[0.9183343 0.0816657] X=[-0.53898711 -1.17321019 0.70911744 -1.06307253 -0.44733468 -0.37094597 -0.59680945 -1.079173 -0.05475133 0.26423642 0.394746 ], Predicted=[0.70357636 0.29642364] X=[-0.18344508 3.39099465 -0.77839428 -1.04335466 -0.31000812 -1.72345743 -1.79698663 -0.2097827 1.46857694 -1.48839409 -0.09286267], Predicted=[0.97803139 0.02196861] X=[-1.01304317 0.01745194 -0.77839428 2.24953075 0.05619604 0.39351704 -0.64387523 1.64937501 -0.58460464 -0.34918426 -1.31188435], Predicted=[0.92032482 0.07967518] X=[ 2.54237721 -0.18099175 0.04800112 0.06084644 -0.76776332 -0.84138474 0.55630195 0.31519529 -0.71706797 0.08897337 0.06967355], Predicted=[0.77792498 0.22207502] X=[ 0.05358295 -0.87554465 0.13064066 1.40166205 -0.35578364 0.80515096 -0.47914502 0.47904192 -1.24692128 1.22818321 0.15094166], Predicted=[0.55496824 0.44503176] X=[-1.3685852 -0.57787912 -0.94367336 2.02277516 -0.08113052 0.2171025 -0.66740811 1.51227885 0.34263866 -0.08628968 -1.23061624], Predicted=[0.86854466 0.13145534] X=[-0.30195909 0.51356116 -0.1999175 -1.0039189 -1.179743 -0.37094597 -1.16159871 -1.2296444 0.47510198 -0.43681578 1.53249956], Predicted=[0.5642564 0.4357436] X=[-0.4204731 -0.77632281 -0.1999175 -0.84617589 -0.58466124 -0.19453143 -1.0204014 -1.53560291 -1.51184794 1.05292016 1.20742712], Predicted=[0.48493118 0.51506882] X=[-0.06493106 0.31511748 -0.28255704 0.31717883 -0.81353884 -0.13572658 -0.38501348 -0.79829306 -0.38590965 1.22818321 1.69503579], Predicted=[0.30291163 0.69708837] X=[ 0.17209696 -1.07398834 3.35358273 1.26363691 -0.035355 -0.6649702 -0.29088194 0.05772201 0.47510198 -0.96260494 1.36996334], Predicted=[0.43890176 0.56109824] X=[ 0.76466702 -0.47865728 0.2132802 0.12000007 -0.44733468 0.45232188 0.53276906 -0.07603035 -0.98199462 -1.48839409 0.394746 ], Predicted=[0.80464125 0.19535875] X=[-2.43521132 -0.67710097 -1.0263129 0.75097212 -0.40155916 -1.07660412 -0.62034234 -0.26328364 3.12436854 -0.08628968 1.36996334], Predicted=[0.28883491 0.71116509] X=[-1.25007119 0.8112267 1.37023377 -1.06307253 3.71823763 1.62841881 0.93282812 -0.63779023 -0.58460464 -0.34918426 -0.66173945], Predicted=[0.99022192 0.00977808] X=[ 1.94980715 0.01745194 0.04800112 1.46081568 -0.21845708 -0.19453143 0.53276906 1.36180745 -0.38590965 -0.78734189 -0.49920323], Predicted=[0.85506499 0.14493501] X=[ 0.05358295 0.41433932 -1.52215014 0.33689671 0.01042052 0.92276066 0.97989389 0.59273142 -0.38590965 -0.34918426 -1.31188435], Predicted=[0.94104632 0.05895368] X=[ 0.17209696 -0.57787912 -0.77839428 0.90871513 -0.21845708 2.33407697 0.67396638 0.35197718 -1.37938461 0.61476253 -0.01159456], Predicted=[0.67066185 0.32933815] X=[ 1.35723709 -0.57787912 -0.11727796 0.79040787 -0.12690604 1.62841881 1.47408449 0.99398848 -0.51837298 0.35186795 -0.82427568], Predicted=[0.84141563 0.15858437] X=[-0.06493106 -1.66931941 -0.53047566 0.43548609 -0.08113052 0.56993158 -0.80860543 0.17141151 0.077712 -1.05023647 -0.49920323], Predicted=[0.71635954 0.28364046] X=[ 1.94980715 -0.28021359 -0.53047566 -0.3335111 -0.67621228 -0.25333627 -1.09100005 -0.61103976 -1.18068962 -1.40076257 1.20742712], Predicted=[0.59769033 0.40230967] X=[ 0.05358295 -0.37943543 0.29591974 -0.05746082 -0.85931436 0.15829765 -0.62034234 -1.05911015 0.01148034 -1.31313104 1.53249956], Predicted=[0.35329634 0.64670366] X=[ 1.00169505 -0.28021359 -0.28255704 0.27774308 -0.35578364 1.8636382 1.35642006 0.5091362 -0.58460464 0.08897337 -0.33666701], Predicted=[0.82880265 0.17119735] X=[ 0.17209696 2.00188883 -1.77006876 -0.37294685 0.1935226 -0.72377504 -1.23219737 -0.01584179 -2.17416458 -1.22549952 -1.23061624], Predicted=[0.98820006 0.01179994] X=[-0.18344508 -0.67710097 0.29591974 -0.76730438 -0.53888572 -0.01811689 -1.16159871 -0.91198256 0.40887032 0.08897337 0.394746 ], Predicted=[0.61415918 0.38584082] X=[ 0.527639 -0.77632281 0.46119882 -0.80674014 0.10197156 -0.6649702 -1.20866448 -1.19955012 -1.64431127 -1.22549952 1.20742712], Predicted=[0.73987438 0.26012562] X=[ 0.05358295 0.41433932 -1.68742922 0.27774308 -0.17268156 -1.4294332 -0.50267791 0.6596076 0.27640699 -1.05023647 -1.06808001], Predicted=[0.95205163 0.04794837] X=[ 0.17209696 -1.27243203 -0.44783612 1.63827657 0.23929812 -0.37094597 0.25037443 1.30161889 -1.51184794 -0.87497341 -1.23061624], Predicted=[0.92601428 0.07398572] X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361] X=[-0.30195909 0.41433932 -0.94367336 2.0326341 0.01042052 0.15829765 -0.12615174 1.29493128 0.21017533 1.57870931 -0.09286267], Predicted=[0.70104684 0.29895316] X=[ 0.05358295 1.20811407 1.86607101 0.94815089 -0.12690604 0.27590734 0.08564423 1.16117892 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.97353664 0.02646336] X=[-0.4204731 -0.37943543 -1.19159198 -1.02363678 -0.21845708 -0.31214112 -0.64387523 -0.49735026 -1.31315295 -0.26155273 -0.90554379], Predicted=[0.95043339 0.04956661] X=[ 1.83129314 -0.77632281 0.37855928 1.06645815 0.4224002 0.92276066 0.74456503 2.13088348 1.0049553 2.8931822 -1.31188435], Predicted=[0.88343897 0.11656103] X=[-1.84264125 0.31511748 0.37855928 0.81012575 -0.67621228 1.04037035 0.03857846 -0.27331507 1.0049553 -0.26155273 0.96362278], Predicted=[0.49975458 0.50024542] X=[ 0.40912499 -0.47865728 0.37855928 1.55940506 0.55972676 1.15798004 1.30935429 1.29493128 -0.6508363 -0.43681578 -1.23061624], Predicted=[0.91324387 0.08675613] X=[ 0.40912499 0.31511748 0.6264779 0.43548609 0.33084916 -1.19421382 -1.16159871 1.19461701 0.67379698 1.31581474 -0.49920323], Predicted=[0.94438437 0.05561563] X=[ 0.05358295 -1.07398834 -0.28255704 -0.86589377 0.05619604 -1.31182351 -0.50267791 -0.83841876 -0.18721466 0.1766049 0.88235467], Predicted=[0.72119246 0.27880754] X=[-2.19818329 -0.0817699 -0.11727796 -0.37294685 -0.63043676 1.33439458 0.93282812 -1.4938053 1.7335036 -1.57602562 1.69503579], Predicted=[0.32876113 0.67123887] X=[ 0.527639 0.41433932 0.04800112 0.04112856 -0.63043676 -0.6649702 -0.62034234 0.34194576 0.21017533 -0.26155273 -0.58047134], Predicted=[0.89691733 0.10308267] X=[-1.72412724 0.31511748 1.12231514 -0.668715 0.33084916 0.62873642 0.13271 -0.31009697 0.67379698 2.36739305 -0.41793512], Predicted=[0.90367271 0.09632729] X=[ 6.46153012e-01 -8.75544654e-01 7.09117443e-01 1.69280668e-03 9.71706437e-01 2.17102498e-01 1.73294624e+00 5.92731419e-01 7.40028640e-01 -1.40076257e+00 -7.43007566e-01], Predicted=[0.94276636 0.05723364] X=[-0.77601514 -0.87554465 -0.36519658 -0.4123826 -0.035355 -0.13572658 -0.29088194 0.85354851 -0.05475133 -0.61207884 -0.9868119 ], Predicted=[0.98066991 0.01933009] X=[-0.18344508 0.21589563 -0.36519658 -0.70815075 -0.9508654 0.09949281 -0.73800677 -0.8150121 0.8062603 1.22818321 0.63855033], Predicted=[0.53520553 0.46479447] X=[ 1.71277913 -0.9747665 0.29591974 -1.02363678 0.14774708 -1.72345743 -1.04393428 -0.10946844 -0.05475133 0.26423642 -0.33666701], Predicted=[0.89608254 0.10391746] X=[-0.53898711 0.61278301 -1.10895244 1.67771232 0.6512778 0.09949281 0.55630195 1.42868363 -0.38590965 -0.34918426 -1.23061624], Predicted=[0.95551265 0.04448735] X=[ 1.23872307 -1.17321019 3.35358273 2.25938968 -0.40155916 0.9815655 1.14462409 1.93025495 -1.31315295 -0.69971036 -0.9868119 ], Predicted=[0.89736287 0.10263713] X=[-1.25007119 1.00967039 -0.6131152 -1.04335466 0.55972676 -0.90018958 0.03857846 -0.44050551 0.54133365 -0.52444731 -0.66173945], Predicted=[0.97342539 0.02657461] X=[-0.53898711 0.01745194 -0.53047566 0.90871513 -0.17268156 0.56993158 0.22684155 1.28155604 -0.31967798 -0.26155273 -1.47442057], Predicted=[0.96294785 0.03705215] X=[-1.25007119 0.11667379 -0.03463842 -0.53068986 -0.76776332 -0.31214112 -1.1851316 -1.36674056 0.40887032 -0.61207884 1.45123145], Predicted=[0.48153486 0.51846514] X=[ 0.29061097 1.40655776 -1.10895244 -0.70815075 -0.35578364 -0.42975081 -0.690941 -1.45367959 0.27640699 -0.17392121 2.34518068], Predicted=[0.40984619 0.59015381] X=[ 0.05358295 -0.28021359 -0.28255704 -0.45181836 0.37662468 -0.72377504 -0.5262108 -0.00915417 -1.31315295 -0.96260494 -0.90554379], Predicted=[0.96845403 0.03154597] X=[ 0.29061097 0.01745194 0.87439652 -0.90532952 -0.63043676 -0.19453143 -0.73800677 -1.11261109 0.40887032 -0.08628968 1.36996334], Predicted=[0.55301367 0.44698633] X=[ 0.05358295 -0.28021359 -0.53047566 0.52421654 -0.31000812 0.09949281 -0.24381617 -0.14290653 0.54133365 -1.31313104 0.63855033], Predicted=[0.58496929 0.41503071] X=[ 2.06832116 0.91044854 3.02302457 1.13547071 -0.31000812 -0.84138474 0.46217041 1.42868363 -1.24692128 2.10449847 -0.9868119 ], Predicted=[0.94566944 0.05433056] X=[ 0.76466702 -0.18099175 2.11398963 1.06645815 0.01042052 1.33439458 0.60336772 1.37518269 -0.12098299 -0.26155273 -1.31188435], Predicted=[0.93945332 0.06054668] X=[ 2.4238632 -1.47087572 1.28759423 -1.06307253 -0.81353884 -1.72345743 -2.69123629 -0.47728741 -1.84300626 -1.48839409 -0.49920323], Predicted=[0.88994597 0.11005403] X=[-3.01959090e-01 -3.79435433e-01 -2.82557040e-01 1.30307267e+00 2.85073639e-01 -1.01779928e+00 1.09177119e-01 1.41196458e+00 1.20365029e+00 1.34184656e-03 -9.05543789e-01], Predicted=[0.90689511 0.09310489] X=[ 0.88318104 0.71200485 1.12231514 1.3622263 -0.40155916 0.39351704 -0.5262108 1.40193316 -0.98199462 0.08897337 -1.06808001], Predicted=[0.9402079 0.0597921] X=[-0.06493106 3.88710387 -0.28255704 1.30307267 11.17964737 -0.78257989 1.28582141 1.46212172 -0.71706797 1.57870931 -1.23061624], Predicted=[9.99763932e-01 2.36067688e-04] X=[-0.30195909 -0.47865728 -0.77839428 -0.49125411 -0.035355 0.04068796 -0.00848731 -0.61103976 -0.25344632 1.31581474 0.63855033], Predicted=[0.6762317 0.3237683] X=[-0.89452915 -0.0817699 -0.1999175 -0.96448315 -0.4931102 -1.07660412 -1.30279603 -1.09254824 0.87249197 -0.43681578 0.47601411], Predicted=[0.72762324 0.27237676] X=[ 1.35723709 0.51356116 0.13064066 0.71153637 -0.4931102 -0.78257989 -0.71447388 0.18144293 -0.45214131 -1.13786799 0.88235467], Predicted=[0.70345619 0.29654381] X=[ 0.17209696 -1.27243203 -0.28255704 1.3622263 0.14774708 0.62873642 -0.43207925 1.00736371 0.077712 -1.13786799 -0.82427568], Predicted=[0.80081451 0.19918549] X=[ 0.527639 -0.28021359 -0.6131152 0.15943582 0.10197156 0.9815655 1.61528181 0.61613808 -0.45214131 -1.05023647 -1.06808001], Predicted=[0.94576604 0.05423396] X=[-0.30195909 -0.28021359 0.6264779 0.19887157 -0.12690604 -0.37094597 0.29744021 0.19147436 -0.25344632 0.96528863 -0.2553989 ], Predicted=[0.86169926 0.13830074] X=[-1.48709922 -0.87554465 0.46119882 -1.04335466 -0.12690604 -1.07660412 -1.6793222 -0.74479212 0.27640699 0.35186795 -0.17413078], Predicted=[0.88100133 0.11899867] X=[ 0.76466702 0.51356116 1.20495468 2.57487571 0.10197156 1.15798004 2.4624657 2.33151201 -1.5780796 -0.78734189 -1.39315246], Predicted=[0.97097051 0.02902949] X=[-0.18344508 1.40655776 0.46119882 1.12561178 -0.2642326 1.51080912 2.58013012 1.30830651 0.8062603 0.79002558 -0.66173945], Predicted=[0.92339974 0.07660026] X=[-1.25007119 -1.07398834 0.2132802 -1.0039189 -0.44733468 -1.4294332 -1.60872354 -0.67122832 1.60104027 1.66634084 -0.09286267], Predicted=[0.71177282 0.28822718] X=[-0.89452915 -0.57787912 -0.1999175 -0.98420103 -0.31000812 0.27590734 -0.22028328 -0.7013226 1.7335036 0.87765711 0.31347789], Predicted=[0.66035138 0.33964862] X=[ 2.77940524 0.71200485 0.46119882 -1.08279041 -0.17268156 -1.19421382 -1.82051951 -0.54416359 -1.51184794 -1.8389202 -0.09286267], Predicted=[0.93221127 0.06778873] X=[-3.14629539 -0.62749004 -0.86103382 -0.25463959 -0.21845708 1.68722366 0.43863752 0.95386277 1.53480861 -0.43681578 -2.04329735], Predicted=[0.98411627 0.01588373] X=[ 0.527639 -0.37943543 -0.28255704 -0.76730438 -0.17268156 -0.25333627 -0.80860543 -0.97885873 -0.91576296 0.61476253 0.63855033], Predicted=[0.66785461 0.33214539] X=[-1.01304317 0.51356116 -0.6131152 -0.25463959 0.23929812 -1.13540897 -0.45561214 0.04434677 -0.25344632 -0.69971036 -1.06808001], Predicted=[0.97107435 0.02892565] X=[-0.4204731 -0.87554465 -0.6131152 -0.23492171 -0.2642326 -0.25333627 0.03857846 0.32522671 0.47510198 1.66634084 -0.82427568], Predicted=[0.86548447 0.13451553] X=[ 1.35723709 -0.77632281 0.2132802 -1.02363678 -0.63043676 -0.84138474 -1.42046046 -0.64447785 -0.71706797 -1.05023647 -0.09286267], Predicted=[0.83134338 0.16865662] X=[ 2.06832116 -0.13138082 0.2132802 -1.02363678 -0.53888572 -1.19421382 -1.37339468 -0.91198256 -1.5780796 -1.13786799 0.71981845], Predicted=[0.79785936 0.20214064] X=[-0.65750113 -0.0817699 -1.27423152 0.2580252 0.10197156 0.56993158 1.12109121 0.72648377 0.27640699 -0.17392121 -1.23061624], Predicted=[0.94922929 0.05077071] X=[-0.53898711 -1.76854125 0.13064066 -0.29407534 0.10197156 -0.25333627 -0.83213831 0.22491245 1.60104027 2.63028763 -0.66173945], Predicted=[0.69901932 0.30098068] X=[ 1.00169505e+00 6.12783009e-01 2.03135009e+00 9.28433010e-01 -3.10008120e-01 3.34712191e-01 2.97440205e-01 1.26149319e+00 -8.49531297e-01 1.34184656e-03 -1.55568868e+00], Predicted=[0.9658405 0.0341595] X=[-0.06493106 -0.18099175 0.87439652 0.35661459 0.01042052 0.9815655 1.05049255 0.60610665 0.077712 0.1766049 -0.90554379], Predicted=[0.91506172 0.08493828] X=[-1.13155718 0.61278301 -0.69575474 -0.86589377 -0.17268156 -1.37062835 -0.66740811 -1.23298821 -1.11445795 0.43949948 0.71981845], Predicted=[0.84937057 0.15062943] X=[-0.30195909 -1.27243203 -0.11727796 -0.0771787 -0.58466124 1.39319943 -0.24381617 -0.70466641 0.01148034 1.92923542 1.28869523], Predicted=[0.2472623 0.7527377] X=[-0.06493106 -0.28021359 -0.44783612 -0.27435747 -0.4931102 0.39351704 -0.29088194 -1.18617488 -0.45214131 -0.96260494 1.69503579], Predicted=[0.40901722 0.59098278] X=[-0.77601514 0.76161577 0.13064066 -0.86589377 0.01042052 -0.25333627 -1.0204014 -1.94187568 -0.8495313 -0.26155273 2.5077169 ], Predicted=[0.47652413 0.52347587] X=[-1.48709922 0.01745194 -0.44783612 -0.43210048 -0.08113052 0.9815655 0.46217041 -0.67791594 1.07118696 -0.43681578 0.15094166], Predicted=[0.75363757 0.24636243] X=[ 1.12020906 0.11667379 0.2132802 0.12000007 -0.17268156 0.15829765 0.53276906 0.02428392 0.47510198 -1.05023647 0.55728222], Predicted=[0.73488024 0.26511976] X=[-0.4204731 0.8112267 -0.1999175 -0.45181836 0.69705332 -0.90018958 -0.10261885 0.24163149 -0.05475133 -0.34918426 -1.23061624], Predicted=[0.98243587 0.01756413] X=[-1.25007119 0.8112267 0.37855928 -1.08279041 -0.40155916 -1.89987197 -1.49105911 -1.21292535 0.60756531 -1.31313104 0.71981845], Predicted=[0.87123981 0.12876019] X=[-0.53898711 -1.57009756 -0.28255704 -1.04335466 -0.67621228 0.09949281 -1.04393428 -1.39349103 -1.18068962 0.61476253 0.96362278], Predicted=[0.52125609 0.47874391] X=[-0.18344508 -0.37943543 -0.6131152 1.22420116 0.33084916 0.51112673 1.02695966 1.33505698 1.53480861 -0.61207884 -0.66173945], Predicted=[0.86849126 0.13150874] X=[-0.65750113 -0.0817699 -0.69575474 -0.11661445 -0.35578364 0.9815655 0.39157175 0.32522671 0.60756531 -0.96260494 -0.90554379], Predicted=[0.9228835 0.0771165] X=[ 1.00169505 0.01745194 -0.36519658 0.10028219 -0.21845708 -0.37094597 0.57983483 0.39210289 1.66727194 0.96528863 -0.01159456], Predicted=[0.69574571 0.30425429] X=[-0.30195909 -0.28021359 -0.28255704 -0.94476527 0.01042052 -0.19453143 -0.10261885 -0.34353506 1.53480861 0.1766049 -0.33666701], Predicted=[0.8510552 0.1489448] X=[ 0.17209696 0.11667379 -0.6131152 -0.94476527 -0.08113052 -1.37062835 -1.20866448 -0.57760167 -0.71706797 -0.26155273 -0.01159456], Predicted=[0.916367 0.083633] X=[-1.72412724 -0.13138082 -0.44783612 0.27774308 0.28507364 -0.48855566 -1.11453294 0.09784771 0.01148034 -0.96260494 -0.09286267], Predicted=[0.91842266 0.08157734] X=[-0.77601514 -0.28021359 0.70911744 0.31717883 0.14774708 1.04037035 1.59174892 0.61279427 -0.18721466 -0.17392121 -1.14934812], Predicted=[0.95331209 0.04668791] X=[ 0.05358295 0.8112267 0.04800112 -0.43210048 -1.27129404 1.27558973 -0.45561214 -1.41355388 0.60756531 -1.13786799 1.7763039 ], Predicted=[0.27308519 0.72691481] X=[-0.4204731 0.61278301 0.2132802 0.90871513 0.28507364 1.04037035 2.55659724 1.46212172 1.66727194 0.527131 -0.9868119 ], Predicted=[0.94417956 0.05582044] X=[-1.13155718 0.11667379 -0.11727796 -0.98420103 -1.08819196 -1.07660412 -2.14997991 -1.3801158 1.07118696 -1.22549952 0.80108656], Predicted=[0.61357981 0.38642019] X=[-0.30195909 -1.17321019 0.54383836 -0.96448315 -0.08113052 0.74634612 0.10917712 -0.94542065 2.32958858 0.26423642 1.53249956], Predicted=[0.34624714 0.65375286] X=[ 0.17209696 0.51356116 -0.44783612 -0.13633233 -0.58466124 0.2171025 1.54468315 -0.75816735 -0.12098299 1.31581474 1.61376767], Predicted=[0.45210443 0.54789557] X=[-1.3685852 0.11667379 -1.4395106 0.29746096 -0.08113052 0.74634612 1.37995295 0.36535242 0.14394366 -1.13786799 -0.90554379], Predicted=[0.94036751 0.05963249] X=[-1.96115527 0.06706287 -0.36519658 -0.24478065 -0.4931102 1.68722366 -0.00848731 -1.51386815 0.01148034 -1.31313104 1.53249956], Predicted=[0.42235838 0.57764162] X=[ 0.64615301 -0.9747665 -0.77839428 -0.98420103 0.05619604 -0.84138474 -0.76153965 -0.06599892 2.19712525 1.31581474 -0.01159456], Predicted=[0.7165793 0.2834207] X=[-0.89452915 0.71200485 -0.77839428 -0.80674014 -0.53888572 -0.60616535 -0.12615174 -1.14604918 1.0049553 0.87765711 1.20742712], Predicted=[0.5732751 0.4267249] X=[ 0.17209696 0.71200485 -1.35687106 -1.04335466 0.14774708 -1.66465259 -0.45561214 -0.35356648 -0.38590965 -1.13786799 -0.66173945], Predicted=[0.97069963 0.02930037] X=[ 0.76466702 0.01745194 0.04800112 -0.43210048 -0.81353884 0.04068796 -0.5262108 -1.01229682 -1.31315295 -0.69971036 1.45123145], Predicted=[0.56996034 0.43003966] X=[-0.77601514 -0.77632281 -0.69575474 1.6974302 0.4224002 -1.60584774 -0.43207925 1.21802367 0.01148034 0.35186795 -0.74300757], Predicted=[0.87703963 0.12296037] X=[ 0.76466702 0.41433932 -0.77839428 -0.35322897 0.33084916 -1.60584774 -0.10261885 0.59273142 -0.31967798 0.08897337 -1.14934812], Predicted=[0.97694188 0.02305812] X=[ 0.17209696 1.10889223 -0.1999175 -0.21520384 5.64080947 -0.19453143 0.55630195 0.82679804 0.077712 -0.08628968 -0.90554379], Predicted=[0.99732621 0.00267379] X=[ 0.64615301 -0.37943543 -0.36519658 0.73125424 0.1935226 -0.84138474 -0.78507254 0.72648377 -0.38590965 -1.22549952 -0.82427568], Predicted=[0.91582778 0.08417222] X=[ 0.64615301 -0.87554465 1.28759423 0.06084644 -0.40155916 -1.19421382 -0.66740811 -0.07603035 0.077712 -0.96260494 0.394746 ], Predicted=[0.75961876 0.24038124] X=[-2.3166973 0.56317209 -1.60478968 -1.0039189 -0.44733468 1.98124789 0.69749926 -0.63779023 1.86596693 -0.26155273 -0.03868393], Predicted=[0.84023962 0.15976038] X=[ 1.12020906 -0.77632281 -0.11727796 -0.27435747 -1.36284508 -0.25333627 -0.87920408 -0.72472926 -1.31315295 -0.87497341 0.394746 ], Predicted=[0.57908546 0.42091454] X=[ 0.29061097 -0.9747665 0.2132802 -0.98420103 -0.12690604 -0.25333627 -1.20866448 -1.41355388 0.47510198 -1.05023647 1.7763039 ], Predicted=[0.4004651 0.5995349] X=[-0.4204731 0.01745194 0.04800112 -0.55040774 -0.2642326 -0.37094597 -0.40854637 -0.97551493 0.60756531 -0.08628968 1.28869523], Predicted=[0.57226331 0.42773669] X=[-0.65750113 -0.18099175 -0.69575474 -0.23492171 0.01042052 -1.4294332 -0.12615174 -0.67122832 -1.44561627 1.66634084 0.394746 ], Predicted=[0.80163803 0.19836197] X=[ 1.35723709 -1.37165388 -0.03463842 -1.02363678 -0.035355 2.09885758 0.55630195 -0.87854447 -0.78329963 -0.17392121 0.394746 ], Predicted=[0.60347568 0.39652432] X=[-0.53898711 0.11667379 1.94871055 -1.06307253 0.6512778 -1.19421382 -0.43207925 -0.54416359 -0.8495313 -0.69971036 -0.82427568], Predicted=[0.98016232 0.01983768] X=[-0.89452915 3.19255096 -2.76174325 -1.0039189 -0.17268156 -0.6649702 -1.39692757 -0.10946844 0.8062603 -0.96260494 -0.90554379], Predicted=[0.98512893 0.01487107] X=[ 0.17209696 0.01745194 -0.11727796 0.26788414 -0.63043676 -0.31214112 -0.57327657 -0.81835591 -0.45214131 1.31581474 1.85757201], Predicted=[0.27695542 0.72304458] X=[ 0.64615301 -0.37943543 -0.1999175 0.39605034 -0.035355 0.9815655 1.05049255 0.75992186 -0.6508363 -1.48839409 -1.39315246], Predicted=[0.95117004 0.04882996] X=[ 0.64615301 -0.28021359 0.29591974 -0.74758651 0.1935226 -0.6649702 -0.14968462 -0.88523209 -0.98199462 0.35186795 0.55728222], Predicted=[0.77845776 0.22154224] X=[-0.30195909 2.79566358 -0.94367336 0.49463972 -0.53888572 -0.48855566 -0.12615174 0.91039326 0.077712 0.1766049 -1.14934812], Predicted=[0.97808769 0.02191231] X=[ 0.05358295 -0.87554465 -0.03463842 -0.94476527 -0.12690604 1.62841881 0.25037443 -0.5107255 1.66727194 0.26423642 0.23220977], Predicted=[0.62213385 0.37786615] X=[ 0.88318104 0.61278301 0.46119882 0.23830733 -0.2642326 0.56993158 1.80354489 0.82679804 -0.51837298 0.35186795 -1.06808001], Predicted=[0.95576778 0.04423222] X=[ 0.05358295 1.20811407 0.29591974 0.49463972 0.33084916 0.04068796 0.22684155 0.6596076 -0.18721466 0.08897337 -0.9868119 ], Predicted=[0.9573858 0.0426142] X=[ 1.4757511 -0.77632281 -0.44783612 -1.08279041 -1.04241644 0.80515096 -1.20866448 -1.13936156 -1.77677459 -1.13786799 0.47601411], Predicted=[0.65211778 0.34788222] X=[-0.4204731 2.29955436 -0.69575474 -0.9250474 0.10197156 0.2171025 0.90929523 -0.63779023 0.60756531 0.70239405 0.04258418], Predicted=[0.92034769 0.07965231] X=[-0.30195909 0.61278301 -0.77839428 -0.60956137 -0.53888572 -0.37094597 -0.92626985 -1.24301963 -0.58460464 -0.78734189 1.45123145], Predicted=[0.6321021 0.3678979] X=[-0.4204731 0.21589563 -0.53047566 -0.47153623 -0.35578364 0.09949281 -0.97333563 -1.25973868 0.077712 0.96528863 1.69503579], Predicted=[0.36213377 0.63786623] X=[-0.65750113 -0.18099175 -0.77839428 0.15943582 -0.31000812 0.15829765 0.79163081 0.59273142 1.99843026 1.31581474 -0.66173945], Predicted=[0.81124856 0.18875144] X=[ 5.35829483e-02 1.20811407e+00 -1.35687106e+00 1.28335479e+00 -5.84661239e-01 1.39319943e+00 1.12109121e+00 1.17455416e+00 -7.17067969e-01 1.34184656e-03 -9.05543789e-01], Predicted=[0.92055651 0.07944349] X=[ 0.40912499 -1.17321019 -0.6131152 0.13971794 0.37662468 0.33471219 2.01534087 0.86023613 1.26988195 0.527131 -0.33666701], Predicted=[0.85880712 0.14119288] X=[ 1.59426511 0.21589563 0.87439652 1.18476541 -0.12690604 0.9815655 0.36803886 0.16472389 -0.98199462 -1.40076257 1.20742712], Predicted=[0.54753627 0.45246373] X=[-0.89452915 -0.77632281 0.04800112 0.61294698 -0.21845708 0.15829765 1.47408449 0.32522671 -0.31967798 -0.43681578 -0.33666701], Predicted=[0.86387648 0.13612352] X=[ 0.64615301 -1.17321019 -0.11727796 -0.98420103 0.8801554 -0.72377504 0.03857846 -0.89860732 -0.8495313 -0.17392121 0.71981845], Predicted=[0.8033438 0.1966562] X=[ 0.527639 0.01745194 1.70079193 1.28335479 0.14774708 1.56961397 0.56806839 1.46212172 -0.8495313 -0.34918426 -1.14934812], Predicted=[0.95292891 0.04707109] X=[-0.77601514 0.21589563 -1.0263129 -1.04335466 -0.63043676 -0.25333627 -0.64387523 -1.71449668 -1.44561627 -0.61207884 1.36996334], Predicted=[0.66384586 0.33615414] X=[ 1.59426511 0.41433932 -0.6131152 -0.84617589 0.74282884 -0.5473605 -1.20866448 -1.43361674 -0.58460464 -0.17392121 1.85757201], Predicted=[0.48031013 0.51968987] X=[ 0.17209696 -0.47865728 0.70911744 2.29882544 0.1935226 -0.01811689 0.13271 1.96369304 0.21017533 -0.61207884 -1.39315246], Predicted=[0.9109464 0.0890536] X=[ 0.527639 -0.28021359 0.2132802 -0.84617589 -0.53888572 -0.31214112 0.90929523 -1.06245396 0.40887032 -0.78734189 1.126159 ], Predicted=[0.59196475 0.40803525] X=[ 0.527639 -0.28021359 -0.36519658 0.21858945 0.14774708 0.15829765 0.46217041 0.82679804 1.60104027 -0.96260494 -0.74300757], Predicted=[0.8993282 0.1006718] X=[ 0.29061097 1.90266698 -0.36519658 1.65799445 -0.99664092 -0.78257989 0.08564423 0.38541527 -0.45214131 -0.08628968 1.20742712], Predicted=[0.60300231 0.39699769] X=[-0.06493106 0.61278301 0.2132802 0.49463972 -0.76776332 0.51112673 -0.24381617 -0.2833465 0.60756531 -1.22549952 1.16679306], Predicted=[0.54222272 0.45777728] X=[-1.60561323 -1.17321019 -0.94367336 -0.37294685 -0.7219878 -0.31214112 -0.8556712 -0.07603035 0.34263866 -1.13786799 -0.90554379], Predicted=[0.90641807 0.09358193] X=[ 0.527639 -0.87554465 -0.69575474 -0.98420103 0.23929812 0.33471219 -0.73800677 -0.06934273 2.26335691 1.49107779 -0.01159456], Predicted=[0.68740069 0.31259931] X=[ 0.88318104 0.41433932 -0.69575474 0.61294698 -0.7219878 -1.19421382 -0.05555308 -0.11949986 -0.58460464 -0.43681578 1.28869523], Predicted=[0.58944272 0.41055728] X=[-0.06493106 -0.28021359 -1.27423152 -0.98420103 0.46817572 -1.31182351 -0.0320202 -0.17634461 -0.51837298 -0.61207884 -0.82427568], Predicted=[0.9699796 0.0300204] X=[ 0.527639 -0.67710097 -0.36519658 -0.94476527 -0.53888572 -0.37094597 -0.47914502 -0.7782302 0.74002864 0.08897337 0.394746 ], Predicted=[0.6255981 0.3744019] X=[ 1.12020906 0.11667379 0.2132802 0.12000007 -0.17268156 0.15829765 0.53276906 0.02428392 0.47510198 -1.05023647 0.55728222], Predicted=[0.73488024 0.26511976] X=[ 0.29061097 0.11667379 0.04800112 0.27774308 -0.44733468 0.80515096 -0.24381617 -0.0191856 0.14394366 -0.78734189 0.15094166], Predicted=[0.73202278 0.26797722] X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102 0.51112673 0.03857846 -0.87185685 -0.12098299 0.527131 0.15094166], Predicted=[0.67604069 0.32395931] X=[ 1.59426511 -0.77632281 1.28759423 -0.57012562 0.51395124 -1.25301866 -0.71447388 -0.41041123 0.01148034 -1.22549952 0.80108656], Predicted=[0.79683551 0.20316449] X=[ 1.59426511 0.61278301 1.28759423 0.31717883 0.01042052 1.15798004 1.99180798 0.6596076 -0.71706797 0.26423642 0.15094166], Predicted=[0.90150465 0.09849535] X=[-0.65750113 -0.0817699 -1.27423152 0.2580252 0.10197156 0.56993158 1.12109121 0.72648377 0.27640699 -0.17392121 -1.23061624], Predicted=[0.94922929 0.05077071] X=[ 0.17209696 0.41433932 0.13064066 -0.96448315 -0.31000812 -0.6649702 -0.31441482 -0.74479212 -0.12098299 1.31581474 1.36996334], Predicted=[0.74690812 0.25309188] X=[-0.65750113 0.41433932 0.13064066 0.92843301 -0.31000812 -0.37094597 1.40348584 1.46212172 1.13741862 0.08897337 -0.90554379], Predicted=[0.95627801 0.04372199] X=[ 2.77940524 0.01745194 0.6264779 -1.06307253 -0.17268156 -1.25301866 -1.86758528 -0.61103976 -1.51184794 -2.10181478 -0.01159456], Predicted=[0.90760379 0.09239621] X=[ 3.49048932 0.8112267 1.0396756 0.81012575 -0.35578364 -1.84106713 -1.30279603 0.52585524 -1.97546959 -1.66365715 -0.33666701], Predicted=[0.89130134 0.10869866] X=[ 0.40912499 -0.57787912 -0.44783612 0.15943582 0.6512778 0.33471219 -0.14968462 -0.17634461 -0.71706797 0.87765711 0.63855033], Predicted=[0.69174657 0.30825343] X=[ 0.17209696 -0.47865728 0.70911744 2.29882544 0.1935226 -0.01811689 0.13271 1.96369304 0.21017533 -0.61207884 -1.39315246], Predicted=[0.9109464 0.0890536] X=[ 0.17209696 -0.77632281 0.04800112 -0.13633233 -0.4931102 -0.19453143 -1.30279603 -0.41041123 0.01148034 -0.26155273 0.80108656], Predicted=[0.59879448 0.40120552] X=[ 0.05358295 -1.07398834 -0.94367336 -0.35322897 0.83437988 1.15798004 0.32097309 0.39210289 0.67379698 -1.05023647 -0.9868119 ], Predicted=[0.92985184 0.07014816] X=[-1.3685852 -1.27243203 -0.44783612 -0.53068986 -0.035355 1.27558973 0.29744021 -0.91198256 0.21017533 -1.92655172 0.55728222], Predicted=[0.70487046 0.29512954] X=[ 3.96454537 1.60500145 4.5105363 -0.03774295 0.14774708 -0.90018958 -0.33794771 0.9271123 -1.31315295 0.1766049 -0.49920323], Predicted=[0.97556324 0.02443676] X=[ 0.76466702 -0.67710097 -0.11727796 -0.31379322 0.46817572 0.2171025 -0.59680945 -0.03256083 -0.51837298 0.26423642 -0.2553989 ], Predicted=[0.85586403 0.14413597] X=[-1.3685852 -0.9747665 -0.94367336 -0.43210048 -0.17268156 -0.60616535 -0.64387523 -0.00915417 1.07118696 -0.87497341 -0.90554379], Predicted=[0.91019207 0.08980793] X=[-0.53898711 -0.28021359 -0.11727796 -1.08279041 -0.53888572 0.27590734 -0.57327657 -0.9654835 0.8062603 0.79002558 0.23220977], Predicted=[0.67241448 0.32758552] X=[ 0.527639 1.20811407 -0.6131152 -0.18562702 -1.36284508 -0.5473605 -1.13806583 -1.51052434 -2.30662791 0.43949948 2.18264446], Predicted=[0.3685184 0.6314816] X=[ 1.12020906 0.01745194 -0.1999175 -0.84617589 0.01042052 -0.42975081 1.63881469 0.10453533 0.27640699 1.31581474 -0.58047134], Predicted=[0.9184521 0.0815479] X=[ 0.05358295 -0.87554465 0.46119882 0.31717883 -0.81353884 -0.78257989 -1.27926314 -0.00915417 -0.51837298 1.49107779 0.23220977], Predicted=[0.62659255 0.37340745] X=[-0.06493106 -0.37943543 0.04800112 -0.25463959 -0.35578364 -0.25333627 -0.92626985 -0.64447785 0.34263866 -0.26155273 1.04489089], Predicted=[0.57246403 0.42753597] X=[-0.89452915 0.51356116 -0.11727796 0.27774308 0.28507364 0.9815655 1.05049255 0.8502047 1.33611362 1.40344626 -0.82427568], Predicted=[0.92700357 0.07299643] X=[-1.3685852 -0.57787912 -0.44783612 -1.0039189 -0.85931436 -0.5473605 -0.87920408 -1.52055577 1.07118696 -0.96260494 1.61376767], Predicted=[0.44383983 0.55616017] X=[-1.25007119 0.21589563 -2.01798739 -0.01802507 -0.17268156 0.04068796 -0.00848731 -0.06934273 -0.25344632 -0.08628968 -0.66173945], Predicted=[0.90309431 0.09690569] X=[-1.3685852 -0.47865728 -0.44783612 0.6425238 -0.9508654 -0.5473605 -0.40854637 -0.5107255 0.60756531 -0.96260494 0.63855033], Predicted=[0.4712336 0.5287664] X=[ 2.4238632 0.51356116 -0.11727796 -0.96448315 0.05619604 -1.4294332 1.45055161 0.45897907 0.01148034 -0.26155273 -0.90554379], Predicted=[0.97389983 0.02610017] X=[ 1.4757511 1.70422329 0.04800112 0.37633246 -0.40155916 -0.13572658 1.82707778 1.19461701 0.8062603 1.31581474 -0.66173945], Predicted=[0.93979887 0.06020113] X=[-1.3685852 1.70422329 0.70911744 -1.04335466 0.23929812 1.51080912 1.37995295 -0.27665888 -1.11445795 -0.78734189 -1.23061624], Predicted=[0.9921888 0.0078112] X=[ 0.76466702 0.21589563 -0.11727796 -0.98420103 -0.63043676 -0.25333627 0.53276906 -0.83173115 -1.5780796 -0.61207884 -0.01159456], Predicted=[0.89233285 0.10766715] X=[ 1.12020906 -0.18099175 0.87439652 -1.0039189 -0.40155916 0.45232188 -0.14968462 0.12459818 -0.05475133 1.40344626 -0.41793512], Predicted=[0.90959607 0.09040393] X=[-1.13155718 -0.87554465 -1.0263129 -0.9250474 -0.035355 1.27558973 -0.07908597 -0.20643889 0.87249197 -0.43681578 -0.82427568], Predicted=[0.90423732 0.09576268] X=[-0.53898711 -0.9747665 -0.1999175 -0.94476527 0.14774708 0.04068796 -0.26734905 -0.2097827 2.72697856 1.57870931 -0.09286267], Predicted=[0.69406959 0.30593041] X=[-0.77601514 0.01745194 -0.94367336 0.1791537 -0.21845708 -0.5473605 0.43863752 0.55929333 1.66727194 1.31581474 -0.58047134], Predicted=[0.85062901 0.14937099] X=[ 0.76466702 1.40655776 -1.10895244 -0.98420103 0.6512778 -1.19421382 0.69749926 0.12459818 -0.8495313 -0.78734189 -0.90554379], Predicted=[0.99014589 0.00985411] X=[ 0.64615301 0.41433932 -0.53047566 -0.98420103 0.14774708 0.15829765 0.81516369 -0.22650175 -1.04822629 0.26423642 -0.9868119 ], Predicted=[0.96213544 0.03786456] X=[-0.30195909 -0.0817699 1.53551285 0.33689671 -0.08113052 1.04037035 1.49761738 0.48572954 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.92471212 0.07528788] X=[-0.06493106 -0.57787912 -0.1999175 -0.98420103 0.33084916 -0.07692173 -0.57327657 -0.37697314 1.33611362 2.45502457 0.06967355], Predicted=[0.72727862 0.27272138] X=[-1.25007119 -0.18099175 -1.27423152 -1.02363678 -0.67621228 0.27590734 -0.57327657 -1.079173 1.53480861 -0.78734189 0.394746 ], Predicted=[0.6482102 0.3517898] X=[-1.25007119 -0.0817699 -1.10895244 0.1791537 -0.2642326 0.39351704 0.15624289 0.1312858 -0.25344632 -0.08628968 -0.58047134], Predicted=[0.8975037 0.1024963] X=[ 1.35723709 1.60500145 1.28759423 0.53407548 -0.67621228 0.62873642 0.29744021 -0.47728741 -0.18721466 -1.92655172 1.7763039 ], Predicted=[0.53562007 0.46437993] X=[-0.89452915 0.21589563 1.86607101 -0.72786863 0.01042052 0.62873642 1.07402544 -0.54416359 0.8062603 0.70239405 0.31347789], Predicted=[0.84955942 0.15044058] X=[-0.18344508 -1.27243203 -0.11727796 0.29746096 -0.53888572 -1.07660412 -1.3498618 0.36535242 0.67379698 -1.57602562 -0.41793512], Predicted=[0.83077105 0.16922895] X=[-0.65750113 0.01745194 -0.28255704 -0.64899712 -0.31000812 -0.6649702 -0.54974368 0.05772201 -0.91576296 -0.52444731 -1.55568868], Predicted=[0.97934293 0.02065707] X=[-1.01304317 -0.0817699 0.54383836 -0.9250474 -1.13396748 -1.01779928 -1.32632891 -1.6476205 0.34263866 4.03239204 2.12846571], Predicted=[0.18684509 0.81315491] X=[ 1.4757511 -0.87554465 2.03135009 2.02277516 0.14774708 0.74634612 1.00342678 2.19775966 0.077712 1.14055168 -1.14934812], Predicted=[0.87764861 0.12235139] X=[ 0.17209696 0.71200485 -0.1999175 -0.90532952 1.06325748 -1.19421382 0.55630195 0.12459818 -0.05475133 -0.17392121 -0.90554379], Predicted=[0.98540695 0.01459305] X=[-0.18344508 -0.18099175 -0.6131152 -0.47153623 1.52101268 0.01128554 1.82707778 0.52585524 0.8062603 1.66634084 -0.82427568], Predicted=[0.96111707 0.03888293] X=[ 1.35723709 0.01745194 0.70911744 0.13971794 -0.035355 0.33471219 0.72103215 0.62616951 -0.12098299 -0.52444731 0.06967355], Predicted=[0.8980846 0.1019154] X=[-1.25007119 -0.47865728 -0.1999175 -0.37294685 0.01042052 0.39351704 -0.33794771 -0.26328364 0.8062603 1.31581474 0.23220977], Predicted=[0.76162691 0.23837309] X=[-1.60561323 -1.37165388 -0.53047566 -0.35322897 -0.76776332 -0.78257989 -0.80860543 0.29178862 1.0049553 -0.43681578 -1.23061624], Predicted=[0.92504221 0.07495779] X=[-0.06493106 -0.18099175 -0.77839428 0.27774308 0.28507364 1.09917519 1.78001201 0.69304568 -0.38590965 -0.17392121 -1.31188435], Predicted=[0.9515018 0.0484982] X=[-0.89452915 -0.37943543 -0.53047566 0.67210061 0.74282884 -0.13572658 0.32097309 0.86023613 0.8062603 -0.17392121 -0.82427568], Predicted=[0.93111668 0.06888332] X=[ 0.05358295 0.01745194 -0.77839428 -0.84617589 -0.53888572 0.80515096 -0.40854637 -1.74124715 -1.37938461 -0.52444731 2.18264446], Predicted=[0.38664777 0.61335223] X=[-0.89452915 0.71200485 -2.18326647 -0.98420103 1.06325748 -0.78257989 -0.71447388 -0.2097827 0.27640699 0.26423642 -1.06808001], Predicted=[0.97362298 0.02637702] X=[ 0.76466702 -0.28021359 1.12231514 -0.45181836 -0.21845708 3.5101739 0.57983483 -0.73141688 -1.77677459 0.87765711 0.63855033], Predicted=[0.61966086 0.38033914] X=[-1.01304317 0.51356116 -0.53047566 -1.10250829 6.37321778 -1.37062835 1.16815698 -0.54416359 -0.45214131 1.14055168 -0.90554379], Predicted=[0.99616823 0.00383177] X=[ 0.527639 -0.57787912 1.28759423 0.69181849 -0.67621228 0.74634612 0.53276906 -0.10946844 -1.18068962 -1.8389202 0.55728222], Predicted=[0.69346672 0.30653328] X=[ 0.527639 -0.57787912 -0.6131152 -0.96448315 -0.2642326 -0.19453143 0.79163081 -0.69797879 0.54133365 -0.08628968 0.55728222], Predicted=[0.71116482 0.28883518] X=[ 0.05358295 0.21589563 1.28759423 0.23830733 0.51395124 -0.60616535 0.41510463 0.72648377 1.60104027 1.22818321 0.394746 ], Predicted=[0.87068087 0.12931913] X=[-1.3685852 -0.28021359 -0.94367336 0.67210061 0.14774708 0.86395581 -0.31441482 0.56263714 0.077712 -0.34918426 -0.33666701], Predicted=[0.88693472 0.11306528] X=[-0.18344508 1.40655776 1.0396756 0.65238274 0.37662468 1.8636382 2.25066972 1.48887219 0.27640699 0.08897337 -1.23061624], Predicted=[0.98449715 0.01550285] X=[ 0.29061097 1.20811407 1.53551285 -1.0039189 4.67952355 0.56993158 0.25037443 0.21822483 -0.71706797 0.61476253 -1.47442057], Predicted=[0.99760835 0.00239165] X=[ 1.12020906 -0.18099175 -0.1999175 -0.55040774 -0.9508654 -0.78257989 -0.90273697 -1.12598632 -1.31315295 -0.17392121 1.28869523], Predicted=[0.50503094 0.49496906] X=[-0.53898711 -1.27243203 0.2132802 -0.90532952 -0.53888572 0.45232188 0.27390732 -0.61103976 1.53480861 1.75397237 0.394746 ], Predicted=[0.52843191 0.47156809] X=[-1.96115527 -1.07398834 -0.53047566 -1.12222616 -0.7219878 -1.4294332 -1.65578931 -0.61772738 0.74002864 -0.69971036 -0.58047134], Predicted=[0.91235002 0.08764998] X=[-0.30195909 -0.87554465 0.79175698 0.88899726 -0.035355 1.04037035 0.36803886 1.16786654 2.19712525 2.45502457 -0.09286267], Predicted=[0.63208855 0.36791145] X=[-0.77601514 -0.28021359 0.37855928 0.29746096 -0.035355 1.09917519 1.63881469 0.56598095 -0.12098299 -0.26155273 -1.14934812], Predicted=[0.94541732 0.05458268] X=[-0.18344508 0.61278301 0.54383836 -0.84617589 -0.58466124 -0.07692173 -0.64387523 -1.60080718 -1.44561627 -0.08628968 1.36996334], Predicted=[0.64048679 0.35951321] X=[ 0.40912499 -0.18099175 0.37855928 -0.96448315 0.69705332 -1.37062835 -0.43207925 -0.70466641 -0.05475133 -0.26155273 -0.09286267], Predicted=[0.90082705 0.09917295] X=[ 0.40912499 0.8112267 0.2132802 -0.13633233 -0.35578364 -0.5473605 -0.94980274 -0.87854447 -1.71054293 0.87765711 1.61376767], Predicted=[0.6355629 0.3644371] X=[-0.30195909 0.41433932 -0.6131152 0.2580252 0.37662468 1.21678489 1.66234758 0.69304568 -0.12098299 -0.34918426 -1.39315246], Predicted=[0.96447798 0.03552202] X=[ 0.64615301 -0.18099175 -0.28255704 0.29746096 0.14774708 0.15829765 0.43863752 0.75992186 -0.38590965 -0.08628968 -1.31188435], Predicted=[0.94506983 0.05493017] X=[-0.77601514 -0.0817699 -0.6131152 1.12561178 0.01042052 0.45232188 -0.26734905 0.3586648 -0.18721466 -1.05023647 0.23220977], Predicted=[0.76775491 0.23224509] X=[ 2.30534919e+00 -4.78657278e-01 1.30640662e-01 8.49561503e-01 -2.64232600e-01 -5.47360505e-01 1.05049255e+00 1.46212172e+00 -1.71054293e+00 1.34184656e-03 -1.14934812e+00], Predicted=[0.9554512 0.0445488] X=[ 0.05358295 -0.77632281 0.04800112 -0.88561164 -0.12690604 -0.60616535 -0.05555308 -0.17634461 0.8062603 0.96528863 -0.33666701], Predicted=[0.85702384 0.14297616] X=[-0.77601514 -0.0817699 -1.27423152 -0.96448315 -0.81353884 -0.90018958 -0.64387523 -0.58428929 1.46857694 0.08897337 -0.41793512], Predicted=[0.8063967 0.1936033] X=[ 0.64615301 0.41433932 -0.94367336 1.04674027 -0.4931102 0.51112673 0.27390732 0.5860438 -0.58460464 -0.34918426 -0.09286267], Predicted=[0.77270748 0.22729252] X=[ 1.23872307 -0.28021359 -0.36519658 -0.21520384 -0.67621228 -0.13572658 -0.50267791 -0.74479212 -0.8495313 -1.48839409 1.04489089], Predicted=[0.57372715 0.42627285] X=[ 0.29061097 -0.18099175 -0.11727796 1.58898188 1.29213508 -0.37094597 -0.73800677 1.32836936 -1.51184794 -0.61207884 -1.06808001], Predicted=[0.96150712 0.03849288] X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.36765663], Predicted=[0.67497546 0.32502454] X=[-1.13155718 -0.0817699 -0.53047566 -0.27435747 -0.4931102 -1.25301866 -0.97333563 -1.15273679 -0.58460464 -1.40076257 1.04489089], Predicted=[0.69344565 0.30655435] X=[ 0.05358295 -0.67710097 1.28759423 -0.98420103 -0.21845708 -1.19421382 0.60336772 -0.44384932 0.40887032 1.22818321 0.394746 ], Predicted=[0.84066103 0.15933897] X=[-1.96115527 1.60500145 -2.43118509 -0.98420103 -0.44733468 0.45232188 -0.45561214 -1.54730624 1.13741862 -1.40076257 1.28869523], Predicted=[0.67737616 0.32262384] X=[-0.77601514 0.01745194 1.94871055 -1.06307253 -0.12690604 0.86395581 -1.09100005 -1.33330247 -0.12098299 -1.13786799 0.80108656], Predicted=[0.77608103 0.22391897] X=[-0.30195909 1.10889223 0.46119882 1.08617602 0.51395124 0.92276066 1.94474221 1.49890361 0.47510198 0.1766049 -1.31188435], Predicted=[0.97387931 0.02612069] X=[-0.30195909 0.01745194 0.2132802 -0.9250474 -0.35578364 -0.78257989 -0.87920408 -0.94542065 0.67379698 0.70239405 0.88235467], Predicted=[0.66953869 0.33046131] X=[-1.25007119 0.11667379 -0.53047566 -0.94476527 0.74282884 -1.07660412 0.03857846 -0.88523209 0.27640699 -1.22549952 0.47601411], Predicted=[0.91953176 0.08046824] X=[-0.53898711 -0.5282682 1.20495468 -0.82645801 3.16893139 -0.37094597 -0.80860543 -0.74479212 0.34263866 0.79002558 1.28869523], Predicted=[0.88278162 0.11721838] X=[-1.01304317 -0.0817699 -0.28255704 1.63827657 -0.08113052 -1.19421382 0.13271 0.88029898 -0.45214131 0.35186795 -0.17413078], Predicted=[0.84809218 0.15190782] X=[-0.53898711 -0.37943543 -0.36519658 0.98758664 0.23929812 -0.19453143 0.65043349 0.9271123 0.8062603 -0.34918426 -0.82427568], Predicted=[0.89134763 0.10865237] X=[-1.01304317 1.30733592 -1.0263129 -0.88561164 0.1935226 -0.37094597 -0.38501348 -0.41041123 1.53480861 0.26423642 -0.01159456], Predicted=[0.90991029 0.09008971] X=[-0.4204731 -0.67710097 1.45287331 2.21009499 -0.035355 -0.07692173 -0.31441482 1.88344163 0.077712 -0.17392121 -1.39315246], Predicted=[0.91645724 0.08354276] X=[-1.13155718 -0.57787912 -0.28255704 -1.0039189 0.28507364 0.39351704 -1.23219737 -1.1159549 0.8062603 -0.17392121 0.84172061], Predicted=[0.67141042 0.32858958] X=[-0.65750113 0.21589563 1.20495468 0.19887157 0.33084916 -0.07692173 0.25037443 0.23160006 -0.05475133 0.35186795 -0.58047134], Predicted=[0.92885601 0.07114399] X=[-0.53898711 -1.17321019 0.87439652 -1.02363678 0.23929812 0.2171025 -0.38501348 -1.15273679 -0.51837298 2.27976152 0.63855033], Predicted=[0.62013163 0.37986837] X=[-0.4204731 -0.37943543 -0.11727796 0.23830733 -0.35578364 0.74634612 1.52115026 0.59273142 1.7335036 0.43949948 -0.66173945], Predicted=[0.82163314 0.17836686] X=[-0.18344508 1.80344514 -1.27423152 -0.78702226 -0.53888572 -0.60616535 -0.94980274 -1.48043006 -0.71706797 -0.43681578 1.69503579], Predicted=[0.66540114 0.33459886] X=[-0.06493106 -0.9747665 -0.28255704 1.26363691 0.74282884 -0.95899443 0.76809792 1.35511983 -1.24692128 0.26423642 -1.23061624], Predicted=[0.96195387 0.03804613] X=[-0.89452915 0.31511748 0.04800112 -0.70815075 -0.17268156 1.42260185 0.55630195 -0.74813592 0.54133365 -0.17392121 0.23220977], Predicted=[0.79024126 0.20975874] X=[ 0.40912499 -0.47865728 4.01469905 -1.0039189 4.72529907 2.04005274 -0.690941 -0.33015982 -1.71054293 -0.61207884 -1.06808001], Predicted=[0.99350368 0.00649632] X=[ 2.4238632 -0.37943543 -0.03463842 1.84531427 -0.4931102 -1.13540897 -0.14968462 0.6596076 -1.24692128 -1.05023647 1.28869523], Predicted=[0.42794251 0.57205749] X=[ 1.35723709 0.01745194 0.70911744 0.13971794 -0.035355 0.33471219 0.72103215 0.62616951 -0.12098299 -0.52444731 0.06967355], Predicted=[0.8980846 0.1019154] X=[ 0.05358295 1.00967039 -0.36519658 1.43123886 0.10197156 0.9815655 1.19168986 1.27486842 -1.24692128 0.96528863 -0.82427568], Predicted=[0.93980233 0.06019767] X=[ 0.17209696 -0.0817699 -0.11727796 0.08056431 0.05619604 0.68754127 1.28582141 -0.07603035 0.27640699 -0.87497341 0.71981845], Predicted=[0.76578724 0.23421276] X=[ 1.00169505 -0.18099175 1.45287331 -0.74758651 -0.035355 -0.5473605 0.48570329 -0.92535779 -1.24692128 0.08897337 0.55728222], Predicted=[0.79560088 0.20439912] X=[-0.06493106 0.41433932 -1.27423152 0.21858945 -0.21845708 2.09885758 1.99180798 0.62616951 -0.31967798 -0.69971036 -1.31188435], Predicted=[0.94650108 0.05349892] X=[ 1.35723709 -0.57787912 0.70911744 1.61855869 -0.08113052 0.56993158 0.57983483 2.0974454 0.14394366 1.75397237 -1.55568868], Predicted=[0.90118927 0.09881073] X=[ 0.29061097 -0.0817699 -0.53047566 0.79040787 -0.21845708 -0.5473605 -0.57327657 -0.22650175 -0.98199462 0.26423642 0.80108656], Predicted=[0.55540558 0.44459442] X=[-0.77601514 0.8112267 -0.11727796 -0.47153623 -0.44733468 0.51112673 -1.09100005 -1.56068147 0.077712 0.08897337 2.26391257], Predicted=[0.32796311 0.67203689] X=[ 1.00169505 0.41433932 2.36190825 0.82984363 -0.44733468 1.21678489 0.34450598 1.26149319 -0.38590965 -0.43681578 -1.31188435], Predicted=[0.95394303 0.04605697] X=[ 0.88318104 -0.47865728 1.28759423 0.71153637 -0.44733468 0.56993158 1.02695966 0.89367421 -0.71706797 0.79002558 -0.74300757], Predicted=[0.88090606 0.11909394] X=[-0.06493106 -0.57787912 0.6264779 0.06084644 -0.53888572 0.2171025 -0.5262108 -0.52744454 -0.05475133 -0.26155273 0.80108656], Predicted=[0.55234753 0.44765247] X=[-0.06493106 0.21589563 -0.6131152 2.74247766 -0.40155916 0.56993158 0.27390732 1.08427132 -0.98199462 -0.96260494 1.45123145], Predicted=[0.47990929 0.52009071] X=[ 0.29061097 -0.67710097 -0.11727796 -0.82645801 -0.40155916 -0.42975081 0.06211135 -0.34353506 0.077712 0.70239405 -0.41793512], Predicted=[0.8430576 0.1569424] X=[-0.65750113 -0.37943543 0.29591974 -0.90532952 -0.67621228 -1.72345743 -1.82051951 -1.44699197 0.74002864 -1.31313104 1.36996334], Predicted=[0.54696652 0.45303348] X=[-0.4204731 1.00967039 -0.6131152 -0.23492171 -0.17268156 -0.13572658 -0.62034234 -1.12264251 -0.8495313 0.08897337 1.45123145], Predicted=[0.62070509 0.37929491] X=[ 0.88318104 0.01745194 0.46119882 -1.02363678 -0.35578364 -0.84138474 -0.54974368 -0.00915417 -0.18721466 1.57870931 -0.41793512], Predicted=[0.92372141 0.07627859] X=[-1.13155718 0.21589563 -0.86103382 -0.43210048 -0.35578364 0.39351704 -0.45561214 -0.54416359 -0.25344632 0.08897337 0.394746 ], Predicted=[0.82040173 0.17959827] X=[ 0.64615301 0.31511748 1.20495468 1.53968719 -0.17268156 1.56961397 1.54468315 1.42868363 -0.8495313 0.87765711 -0.90554379], Predicted=[0.90305917 0.09694083] X=[-0.30195909 -0.47865728 -0.28255704 1.67771232 0.23929812 -0.13572658 -0.47914502 1.44540267 -0.98199462 0.43949948 -1.23061624], Predicted=[0.92811013 0.07188987] X=[ 1.00169505 0.41433932 1.20495468 -0.80674014 -0.2642326 -0.42975081 -0.57327657 -0.97885873 0.077712 0.26423642 1.85757201], Predicted=[0.57090442 0.42909558] X=[ 0.527639 0.8112267 0.04800112 1.65799445 0.51395124 0.62873642 0.81516369 1.16452273 -0.31967798 0.70239405 -0.2553989 ], Predicted=[0.84928731 0.15071269] X=[ 2.54237721 -0.77632281 -0.03463842 -0.57012562 0.14774708 -1.48823805 -2.31471011 0.12459818 -0.31967798 -1.13786799 -0.58047134], Predicted=[0.88867766 0.11132234] X=[ 1.71277913 -0.67710097 0.54383836 -0.94476527 -0.63043676 -0.01811689 -0.66740811 -1.11261109 -1.11445795 0.96528863 1.93884012], Predicted=[0.39623846 0.60376154] X=[ 0.76466702 -0.47865728 -0.11727796 0.55379335 -0.35578364 1.09917519 1.23875564 0.86023613 -0.98199462 0.61476253 -0.66173945], Predicted=[0.89111303 0.10888697] X=[-0.65750113 -0.77632281 -0.77839428 -0.9250474 0.28507364 0.04068796 -0.07908597 -0.0960932 4.05161184 1.49107779 0.23220977], Predicted=[0.60255175 0.39744825] X=[ 0.76466702 -0.37943543 2.36190825 0.82984363 -0.035355 0.92276066 0.34450598 1.25814938 -0.18721466 -0.43681578 -1.39315246], Predicted=[0.95017845 0.04982155] X=[ 0.76466702 1.40655776 -1.60478968 0.8495615 0.01042052 -1.01779928 -1.0204014 0.62616951 0.21017533 -1.40076257 0.15094166], Predicted=[0.87896371 0.12103629] X=[-0.06493106 -0.67710097 -0.6131152 1.04674027 -0.35578364 1.51080912 0.32097309 0.40213432 -1.11445795 0.61476253 -0.01159456], Predicted=[0.65808744 0.34191256] X=[-0.18344508 -0.9747665 -1.19159198 -0.3335111 0.01042052 1.27558973 0.53276906 0.19147436 0.87249197 1.49107779 -0.01159456], Predicted=[0.73198988 0.26801012] X=[ 0.17209696 0.71200485 -0.77839428 -0.88561164 -0.2642326 -0.84138474 0.13271 -0.57760167 1.07118696 -0.96260494 0.394746 ], Predicted=[0.84853613 0.15146387] X=[-1.13155718 0.01745194 0.46119882 -0.98420103 -0.67621228 0.68754127 0.20330866 -1.89506236 -0.71706797 1.31581474 1.93884012], Predicted=[0.36467298 0.63532702] X=[ 1.00169505 0.11667379 1.20495468 -0.80674014 0.14774708 0.04068796 0.93282812 -0.31009697 -0.12098299 1.31581474 0.06967355], Predicted=[0.86201546 0.13798454] X=[ 0.29061097 -1.47087572 -0.36519658 1.79601958 0.83437988 1.21678489 -0.53797724 1.11770941 -0.18721466 -0.69971036 -0.66173945], Predicted=[0.72388603 0.27611397] X=[-0.30195909 -0.67710097 1.28759423 2.31854331 -0.17268156 0.33471219 0.46217041 1.89681687 0.60756531 -0.87497341 -1.47442057], Predicted=[0.89300041 0.10699959] X=[-1.01304317 2.74605266 -0.6131152 -0.37294685 0.33084916 -1.07660412 -0.29088194 0.09116009 0.34263866 -0.26155273 -1.14934812], Predicted=[0.98663569 0.01336431] X=[ 0.527639 -0.0817699 0.29591974 0.65238274 -0.17268156 0.04068796 -0.1967504 1.29493128 1.93219859 2.27976152 -0.49920323], Predicted=[0.7961877 0.2038123] X=[-1.13155718 -0.37943543 -0.28255704 -0.86589377 -0.58466124 -0.42975081 -1.09100005 -0.59432072 1.33611362 1.75397237 0.31347789], Predicted=[0.68364766 0.31635234] X=[ 1.35723709 2.69644174 0.70911744 1.22420116 7.5633813 0.09949281 1.75647912 1.59587407 -1.31315295 0.61476253 -0.9868119 ], Predicted=[0.99885253 0.00114747] X=[ 0.29061097 -1.17321019 0.2132802 -1.02363678 -0.12690604 -0.84138474 -1.13806583 -0.5107255 -0.18721466 -0.61207884 0.394746 ], Predicted=[0.85040002 0.14959998] X=[ 0.29061097 -0.47865728 -0.77839428 -0.19548596 -0.31000812 1.45200427 1.35642006 0.25835054 0.01148034 2.5426561 -0.41793512], Predicted=[0.76484063 0.23515937] X=[ 1.12020906 -0.37943543 0.37855928 -0.84617589 0.55972676 -1.25301866 0.67396638 -0.00915417 0.14394366 0.527131 -0.49920323], Predicted=[0.93426897 0.06573103] X=[ 0.40912499 0.8112267 0.2132802 -0.13633233 -0.35578364 -0.5473605 -0.94980274 -0.87854447 -1.71054293 0.87765711 1.61376767], Predicted=[0.6355629 0.3644371] X=[ 0.76466702 0.21589563 3.10566411 -1.0039189 5.22882979 0.51112673 0.25037443 0.25835054 -0.71706797 -0.61207884 -1.31188435], Predicted=[0.99787444 0.00212556] X=[-0.77601514 -1.17321019 -0.11727796 -1.04335466 -0.44733468 2.27527212 1.07402544 -1.02567206 0.21017533 -0.69971036 0.394746 ], Predicted=[0.66017699 0.33982301] X=[-0.18344508 -0.47865728 -0.03463842 -0.90532952 -0.44733468 -0.72377504 -0.99686851 -0.5107255 0.87249197 -0.78734189 0.23220977], Predicted=[0.82268488 0.17731512] X=[-0.77601514 0.71200485 -0.36519658 -0.49125411 -0.21845708 -0.78257989 -1.39692757 -1.32995866 -0.58460464 0.87765711 1.26160586], Predicted=[0.58600531 0.41399469] X=[ 0.88318104 -0.77632281 -0.6131152 -0.37294685 1.84144132 0.09949281 -0.12615174 0.75992186 -0.25344632 -0.61207884 -1.06808001], Predicted=[0.97915542 0.02084458] X=[ 0.05358295 -0.0817699 0.6264779 -0.9250474 0.05619604 -1.72345743 -0.10261885 -0.37697314 -0.25344632 1.75397237 0.71981845], Predicted=[0.8841653 0.1158347] X=[-0.18344508 -1.66931941 -0.6131152 1.65799445 0.33084916 0.51112673 -1.0204014 0.91373707 0.077712 -1.22549952 -0.58047134], Predicted=[0.69035915 0.30964085] X=[-0.4204731 0.8112267 0.37855928 0.75097212 -0.81353884 -0.90018958 -1.32632891 -0.43047409 -0.58460464 -0.52444731 1.28869523], Predicted=[0.58252883 0.41747117] X=[ 0.76466702 0.11667379 2.77510595 0.33689671 -0.40155916 1.04037035 0.65043349 0.86023613 -1.90923792 -0.69971036 -1.31188435], Predicted=[0.97907137 0.02092863] X=[ 0.17209696 -0.77632281 3.35358273 -1.10250829 -0.08113052 -0.95899443 0.57983483 -0.31009697 1.79973526 0.35186795 -0.2553989 ], Predicted=[0.88232436 0.11767564] X=[-0.77601514 -1.17321019 -0.03463842 -1.04335466 0.51395124 -0.84138474 -1.32632891 -1.01229682 0.87249197 -0.26155273 0.31347789], Predicted=[0.74456062 0.25543938] X=[-0.18344508 -0.87554465 -0.86103382 -0.03774295 0.05619604 0.04068796 -0.50267791 0.15803627 1.0049553 -0.52444731 -0.74300757], Predicted=[0.82262198 0.17737802] X=[ 0.88318104 0.21589563 -0.94367336 0.75097212 0.14774708 1.27558973 1.23875564 0.86023613 -0.71706797 -0.78734189 -0.9868119 ], Predicted=[0.92245475 0.07754525] X=[ 0.40912499 -0.67710097 -0.03463842 -0.668715 -0.44733468 -0.01811689 -0.14968462 -0.41041123 0.40887032 -0.78734189 0.394746 ], Predicted=[0.76255676 0.23744324] X=[-0.89452915 0.01745194 -0.69575474 2.23967181 -0.08113052 0.74634612 0.53276906 1.76306451 1.0049553 -0.08628968 -0.82427568], Predicted=[0.83798673 0.16201327] X=[-0.53898711 -0.37943543 -0.86103382 0.1791537 1.06325748 -0.25333627 0.43863752 0.72648377 0.40887032 0.35186795 -1.14934812], Predicted=[0.95834609 0.04165391] X=[ 0.29061097 -0.77632281 -0.53047566 0.63266486 -0.40155916 -0.95899443 -0.78507254 0.13797342 -0.98199462 -1.05023647 -0.01159456], Predicted=[0.78759369 0.21240631] X=[-1.48709922 -0.57787912 -0.11727796 -1.02363678 -0.99664092 -0.37094597 -0.97333563 -1.93853187 0.077712 -0.26155273 2.06074229], Predicted=[0.32216781 0.67783219] X=[ 1.83129314 0.01745194 0.54383836 0.49463972 0.10197156 -0.13572658 0.17977578 1.59587407 1.40234528 -0.26155273 -0.9868119 ], Predicted=[0.94088977 0.05911023] X=[ 1.23872307 -0.77632281 0.46119882 -1.06307253 -0.21845708 0.09949281 0.36803886 -1.03570348 -0.71706797 -0.52444731 1.126159 ], Predicted=[0.65901365 0.34098635] X=[-0.4204731 2.29955436 -0.69575474 -0.9250474 0.10197156 0.2171025 0.90929523 -0.63779023 0.60756531 0.70239405 0.06967355], Predicted=[0.91963112 0.08036888] X=[-0.30195909 3.39099465 -1.10895244 0.45520397 0.01042052 2.68690605 2.01534087 0.67632664 -0.12098299 -0.43681578 -0.9868119 ], Predicted=[0.97435175 0.02564825] X=[-1.72412724 0.21589563 -0.28255704 -1.02363678 -0.76776332 -0.60616535 -1.06746717 -2.20938039 0.8062603 -0.78734189 2.5077169 ], Predicted=[0.26776722 0.73223278] X=[ 0.88318104 -1.07398834 -0.53047566 -0.35322897 0.1935226 -0.72377504 -0.94980274 0.06440962 -0.71706797 -0.17392121 -0.82427568], Predicted=[0.89854693 0.10145307] X=[ 0.76466702 0.41433932 -0.6131152 -0.90532952 -0.17268156 -1.31182351 -0.12615174 -0.07603035 -0.78329963 -0.96260494 -0.82427568], Predicted=[0.97158713 0.02841287] X=[ 1.12020906 -0.77632281 -1.10895244 -0.98420103 -0.44733468 -0.60616535 -1.30279603 -1.05242253 -1.04822629 -0.26155273 0.96362278], Predicted=[0.61336301 0.38663699] X=[-1.48709922 -0.42904636 -0.36519658 -1.02363678 0.05619604 -0.13572658 -0.26734905 -1.01229682 1.0049553 0.08897337 0.394746 ], Predicted=[0.76611357 0.23388643] X=[-0.06493106 -0.57787912 0.13064066 -0.17576808 -0.12690604 -0.84138474 -0.57327657 -0.07603035 0.74002864 0.35186795 0.15094166], Predicted=[0.77054764 0.22945236] X=[-0.65750113 -0.77632281 -0.6131152 -0.3335111 -0.2642326 4.2746369 0.69749926 -0.41709885 -0.78329963 2.27976152 0.15094166], Predicted=[0.55484905 0.44515095] X=[ 1.12020906 0.11667379 -0.03463842 0.46506291 -0.4931102 -0.13572658 1.00342678 0.72648377 -0.51837298 -0.26155273 0.15094166], Predicted=[0.88100162 0.11899838] X=[-0.30195909 -0.28021359 -0.28255704 1.57912294 0.28507364 0.27590734 1.05049255 1.32836936 -1.11445795 0.08897337 -1.14934812], Predicted=[0.93981398 0.06018602] X=[ 0.76466702 -0.47865728 -0.11727796 0.55379335 -0.35578364 1.09917519 1.23875564 0.86023613 -0.98199462 0.61476253 -0.66173945], Predicted=[0.89111303 0.10888697] X=[-0.53898711 -0.47865728 0.46119882 -0.90532952 -0.63043676 -0.72377504 -0.47914502 -0.94542065 0.87249197 0.08897337 1.04489089], Predicted=[0.63087193 0.36912807] X=[ 0.17209696 0.41433932 -0.77839428 -0.03774295 0.10197156 -0.25333627 2.10947241 0.55929333 0.27640699 1.14055168 -0.90554379], Predicted=[0.94082501 0.05917499] X=[ 0.76466702 -0.18099175 -0.1999175 -0.94476527 -0.63043676 0.04068796 -0.690941 -1.19955012 -1.44561627 -0.52444731 1.126159 ], Predicted=[0.66878765 0.33121235] X=[ 0.05358295 0.11667379 0.6264779 0.27774308 0.01042052 0.9815655 0.76809792 0.44894764 -0.45214131 0.1766049 -0.74300757], Predicted=[0.91881894 0.08118106] X=[-0.77601514 -0.47865728 0.13064066 -1.12222616 0.23929812 -0.6649702 -0.64387523 -0.81166829 1.20365029 -0.52444731 0.394746 ], Predicted=[0.8289654 0.1710346] X=[ 0.05358295 0.01745194 -0.94367336 0.71153637 0.28507364 0.04068796 -0.17321751 0.98061324 -0.71706797 -0.26155273 -0.74300757], Predicted=[0.94809845 0.05190155] X=[ 0.527639 -0.57787912 0.54383836 1.64813551 -0.17268156 0.54052915 -0.20851684 1.93025495 1.13741862 -0.69971036 -1.14934812], Predicted=[0.89579615 0.10420385] X=[ 0.527639 1.20811407 -0.44783612 0.02141068 -0.40155916 -0.5473605 -0.97333563 -0.851794 -0.18721466 0.79002558 1.69503579], Predicted=[0.43762314 0.56237686] X=[-1.01304317 -0.77632281 -0.6131152 0.08056431 0.14774708 -0.78257989 -1.06746717 -0.41041123 -0.25344632 -0.61207884 0.394746 ], Predicted=[0.77032992 0.22967008] X=[ 0.64615301 -1.17321019 1.28759423 -1.02363678 0.4224002 -1.01779928 0.27390732 -0.7782302 0.27640699 -0.17392121 0.55728222], Predicted=[0.78360911 0.21639089] X=[-0.53898711 1.00967039 -1.19159198 -0.37294685 -0.35578364 0.04068796 -0.45561214 -0.84176257 -0.78329963 -0.61207884 0.55728222], Predicted=[0.80956681 0.19043319] X=[ 0.29061097 -0.77632281 -0.1999175 0.19887157 0.33084916 -0.19453143 1.70941335 0.61613808 0.8062603 0.87765711 -0.09286267], Predicted=[0.84528929 0.15471071] X=[ 0.17209696 0.31511748 -0.6131152 0.19887157 1.06325748 -0.42975081 0.50923618 0.45897907 -0.38590965 -0.26155273 -0.58047134], Predicted=[0.95526351 0.04473649] X=[ 0.40912499 -1.17321019 -0.36519658 -1.06307253 -0.67621228 0.27590734 -0.3614806 -1.48711768 -0.45214131 -0.78734189 1.28869523], Predicted=[0.42006567 0.57993433] X=[ 0.64615301 -0.28021359 1.28759423 -1.04335466 -0.17268156 -0.01811689 0.41510463 -0.7782302 -0.38590965 0.527131 0.63855033], Predicted=[0.79602881 0.20397119] X=[-1.48709922 4.13515848 -2.26590601 0.08056431 -0.17268156 -1.54704289 -1.27926314 0.09784771 1.66727194 -0.43681578 -0.2553989 ], Predicted=[0.9633977 0.0366023] X=[-0.18344508 0.61278301 -0.1999175 1.97348047 0.23929812 -0.90018958 0.17977578 1.44205886 -0.8495313 0.43949948 -1.14934812], Predicted=[0.93641374 0.06358626] X=[-0.89452915 -0.28021359 1.28759423 0.23830733 0.28507364 1.8636382 2.06240664 0.52585524 -0.18721466 -0.17392121 -1.31188435], Predicted=[0.95608271 0.04391729] X=[-0.53898711 -0.77632281 -0.44783612 -0.76730438 -0.63043676 -0.6649702 -1.27926314 -0.78491782 0.8062603 0.527131 0.80108656], Predicted=[0.58057986 0.41942014] X=[-1.48709922 1.30733592 -0.77839428 -0.88561164 -0.53888572 -1.48823805 -2.0087826 -1.96528234 0.87249197 0.08897337 2.42644879], Predicted=[0.36271404 0.63728596] X=[ 1.4757511 -0.77632281 -0.28255704 -1.0039189 -0.44733468 -1.66465259 -2.10291414 -0.53747597 -1.31315295 2.10449847 -0.17413078], Predicted=[0.78864609 0.21135391] X=[-0.53898711 1.50577961 -0.11727796 -0.98420103 0.10197156 -1.48823805 -1.6793222 -0.67791594 -0.71706797 -0.69971036 0.71981845], Predicted=[0.95509409 0.04490591] X=[ 0.64615301 1.30733592 2.69246641 0.86927938 0.23929812 2.45168666 1.30935429 1.19461701 -0.91576296 -0.26155273 -1.47442057], Predicted=[0.97658507 0.02341493] X=[-1.13155718 -0.28021359 -0.69575474 0.96786876 0.28507364 -0.31214112 0.62690061 0.99398848 0.34263866 -0.43681578 -0.82427568], Predicted=[0.93801745 0.06198255] X=[-0.65750113 -0.67710097 -0.03463842 1.48053356 0.01042052 1.92244304 0.95636101 1.02742657 1.13741862 0.08897337 -0.09286267], Predicted=[0.65664416 0.34335584] X=[-0.06493106 -0.28021359 -0.1999175 1.3622263 0.1935226 1.98124789 1.49761738 1.06086466 0.21017533 -0.08628968 -0.66173945], Predicted=[0.81731354 0.18268646] X=[-0.18344508 -0.18099175 -0.36519658 0.2580252 -0.35578364 0.27590734 0.95636101 0.25500673 0.27640699 0.61476253 -0.09286267], Predicted=[0.79850316 0.20149684] X=[ 0.527639 -0.72671189 -0.1999175 -0.9250474 0.6512778 -0.07692173 -0.66740811 0.75992186 3.52175853 1.75397237 -0.01159456], Predicted=[0.84721584 0.15278416] X=[-0.4204731 0.01745194 -0.53047566 -0.23492171 -0.2642326 0.51112673 0.95636101 0.25835054 0.01148034 1.75397237 -0.90554379], Predicted=[0.90499203 0.09500797] X=[-0.18344508 0.71200485 -0.11727796 0.5143576 -0.63043676 -0.37094597 -0.59680945 -0.71804165 -0.38590965 1.40344626 1.93884012], Predicted=[0.31611386 0.68388614] X=[ 0.40912499 -0.9747665 0.6264779 -1.02363678 0.10197156 0.33471219 -0.97333563 -0.71135403 -0.31967798 -0.34918426 -0.09286267], Predicted=[0.82505804 0.17494196] X=[ 0.29061097 0.91044854 -0.28255704 -0.03774295 -0.2642326 0.80515096 0.01504558 -1.27645772 -0.12098299 -1.92655172 2.5077169 ], Predicted=[0.34924096 0.65075904] X=[-1.60561323 -1.07398834 -0.86103382 -0.68843288 -0.31000812 -1.48823805 -0.71447388 -0.53413216 0.60756531 0.08897337 -0.41793512], Predicted=[0.85773871 0.14226129] X=[-0.06493106 0.31511748 -0.11727796 0.23830733 0.28507364 -0.01811689 0.10917712 0.62616951 -0.31967798 -0.96260494 -1.23061624], Predicted=[0.9680569 0.0319431] X=[ 1.4757511 1.50577961 0.70911744 0.04112856 -0.58466124 0.04068796 0.06211135 -0.74479212 -1.37938461 -0.87497341 2.26391257], Predicted=[0.59871385 0.40128615] X=[-2.3166973 -0.42904636 -0.53047566 1.05659921 -0.7219878 -0.07692173 -0.47914502 0.45897907 -0.78329963 0.08897337 -0.90554379], Predicted=[0.89231406 0.10768594] X=[-0.65750113 -0.47865728 -1.0263129 -0.25463959 -0.4931102 -0.37094597 0.08564423 0.05772201 1.13741862 -1.40076257 -0.33666701], Predicted=[0.87067787 0.12932213] X=[-0.65750113 -0.67710097 -0.1999175 -1.02363678 -0.12690604 -0.31214112 -0.50267791 -0.81835591 1.99843026 1.66634084 0.394746 ], Predicted=[0.55536248 0.44463752] X=[ 0.29061097 1.10889223 0.13064066 1.20448328 -0.08113052 -0.5473605 -1.56165777 0.02428392 -0.12098299 -1.75128867 0.88235467], Predicted=[0.66805555 0.33194445] X=[ 0.17209696 -0.37943543 1.45287331 0.90871513 -0.76776332 1.15798004 2.08593952 0.82679804 -1.04822629 1.05292016 -0.82427568], Predicted=[0.87589791 0.12410209] X=[-0.30195909 -0.77632281 -0.53047566 0.88899726 -0.35578364 -0.37094597 -0.1967504 0.31185148 -0.51837298 -0.43681578 -0.01159456], Predicted=[0.74773453 0.25226547] X=[ 0.05358295 -0.57787912 -0.11727796 0.57351123 -0.2642326 -0.78257989 -0.66740811 0.59273142 1.0049553 0.43949948 0.15094166], Predicted=[0.73748846 0.26251154] X=[ 0.17209696 -0.9747665 0.29591974 -0.96448315 -0.12690604 -1.13540897 -0.80860543 -0.624415 -0.05475133 0.08897337 0.23220977], Predicted=[0.82279498 0.17720502] X=[ 0.76466702 -1.07398834 0.87439652 0.96786876 0.01042052 1.7460285 0.17977578 0.99398848 -0.12098299 -0.34918426 -0.41793512], Predicted=[0.79854647 0.20145353] X=[-0.77601514 -0.18099175 -1.10895244 0.31717883 0.05619604 -0.01811689 -0.64387523 0.14131723 -0.51837298 -0.61207884 -0.09286267], Predicted=[0.8798728 0.1201272] X=[ 0.88318104 0.51356116 0.6264779 1.4410978 -0.035355 0.51112673 1.37995295 1.62931216 -0.05475133 1.31581474 -1.14934812], Predicted=[0.92054872 0.07945128] X=[ 0.64615301 0.21589563 -0.94367336 -0.22506277 0.33084916 -0.13572658 0.97989389 -0.47728741 -0.38590965 -0.34918426 0.88235467], Predicted=[0.75330647 0.24669353] X=[ 0.40912499 1.10889223 1.70079193 -0.98420103 5.09150323 -0.07692173 -0.14968462 0.15469246 -0.51837298 0.35186795 -1.23061624], Predicted=[0.99746023 0.00253977] X=[ 1.12020906 -0.18099175 1.28759423 -0.62927925 -0.85931436 -0.42975081 -1.20866448 -0.71135403 -1.04822629 -1.48839409 0.63855033], Predicted=[0.78643599 0.21356401] X=[-1.13155718 3.68866018 -0.86103382 -0.27435747 -0.4931102 -0.90018958 -0.24381617 -1.29317677 1.79973526 -0.08628968 1.85757201], Predicted=[0.59430244 0.40569756] X=[ 0.64615301 1.70422329 -0.11727796 0.13971794 -0.08113052 -1.07660412 -0.50267791 0.72648377 0.87249197 -0.69971036 -0.09286267], Predicted=[0.95221133 0.04778867] X=[ 0.29061097 -1.07398834 0.79175698 -1.0039189 -1.04241644 -0.13572658 -0.14968462 -1.12264251 -0.51837298 0.61476253 0.96362278], Predicted=[0.53733845 0.46266155] X=[ 0.40912499 -0.47865728 -1.19159198 1.4410978 0.28507364 0.68754127 1.37995295 1.54571694 -0.45214131 0.35186795 -1.23061624], Predicted=[0.91823759 0.08176241] X=[-1.01304317 -1.07398834 -0.28255704 0.1791537 -0.31000812 0.2171025 -0.80860543 -0.50403788 -1.84300626 0.70239405 0.394746 ], Predicted=[0.71265812 0.28734188] X=[ 1.00169505e+00 -1.80991745e-01 4.80011213e-02 1.69280668e-03 1.93522599e-01 4.06879593e-02 5.79834834e-01 -1.09468437e-01 1.14803354e-02 1.84160389e+00 8.01086557e-01], Predicted=[0.60657269 0.39342731] X=[-0.53898711 -0.28021359 -0.28255704 -0.17576808 -0.35578364 -1.19421382 -0.22028328 0.25835054 -0.31967798 0.00134185 -0.74300757], Predicted=[0.94540674 0.05459326] X=[-0.4204731 -0.87554465 -0.44783612 -0.98420103 0.01042052 -0.78257989 -1.13806583 -1.21961297 -0.05475133 0.1766049 0.96362278], Predicted=[0.6230668 0.3769332] X=[0.05358295 0.31511748 0.04800112 0.19887157 0.60550228 0.04068796 0.83869658 0.75992186 1.79973526 1.14055168 0.47601411], Predicted=[0.8518132 0.1481868] X=[ 0.527639 -0.47865728 -0.77839428 -1.08279041 -0.67621228 -0.37094597 -1.23219737 -1.59411956 -1.90923792 -0.96260494 1.36996334], Predicted=[0.60302864 0.39697136] X=[-1.3685852 -1.17321019 -0.11727796 -1.02363678 -0.44733468 -1.66465259 -1.16159871 -0.97551493 0.47510198 -0.08628968 0.394746 ], Predicted=[0.77764386 0.22235614] X=[-0.06493106 0.41433932 0.04800112 -1.02363678 -0.08113052 -1.25301866 -1.6793222 -0.71135403 -0.91576296 -0.17392121 0.06967355], Predicted=[0.92746936 0.07253064] X=[ 0.40912499 -0.67710097 0.2132802 1.83545534 -0.035355 1.92244304 1.05049255 1.73631404 0.40887032 2.36739305 -0.90554379], Predicted=[0.72262624 0.27737376] X=[ 1.12020906 -0.57787912 0.2132802 -0.98420103 0.46817572 -0.84138474 0.34450598 -0.34353506 0.077712 0.35186795 -0.09286267], Predicted=[0.88155071 0.11844929] X=[-0.18344508 3.58943834 -0.28255704 -1.02363678 -0.7219878 -1.01779928 -1.46752623 -1.61418241 -0.18721466 0.96528863 1.93884012], Predicted=[0.71173252 0.28826748] X=[-1.01304317 -0.87554465 0.29591974 0.65238274 -0.63043676 -1.07660412 -2.07938126 -0.27665888 -0.71706797 1.49107779 1.20742712], Predicted=[0.470116 0.529884] X=[ 1.71277913 -0.0817699 0.46119882 -0.78702226 0.55972676 -1.13540897 -0.73800677 0.49241715 0.60756531 0.87765711 -0.17413078], Predicted=[0.93767146 0.06232854] X=[-1.60561323 -0.67710097 -0.69575474 -1.02363678 -0.2642326 -1.01779928 -1.49105911 -1.32661485 0.8062603 0.61476253 0.63855033], Predicted=[0.6101578 0.3898422] X=[-0.06493106 -0.37943543 0.37855928 0.37633246 -0.035355 0.86395581 1.09755832 0.5860438 -0.25344632 0.08897337 -0.82427568], Predicted=[0.91153297 0.08846703] X=[ 0.64615301 0.8112267 -0.11727796 -0.88561164 -0.44733468 -0.48855566 -0.45561214 -0.69129117 -0.25344632 0.00134185 0.55728222], Predicted=[0.8305562 0.1694438] X=[-0.53898711 -0.57787912 -0.11727796 0.15943582 -0.81353884 -1.19421382 -1.30279603 -0.34353506 -0.38590965 0.527131 0.31347789], Predicted=[0.66863707 0.33136293] X=[-0.77601514 -0.37943543 -0.44783612 1.14532965 0.14774708 1.09917519 -0.12615174 0.39210289 0.01148034 -1.05023647 0.15094166], Predicted=[0.7319572 0.2680428] X=[-0.65750113 0.41433932 -0.6131152 1.16504753 -0.08113052 -0.6649702 1.56821604 0.69638949 -0.51837298 0.79002558 -0.49920323], Predicted=[0.8899194 0.1100806] X=[ 0.527639 0.21589563 0.70911744 0.18901263 -0.9508654 0.92276066 0.86222946 -0.41041123 -0.98199462 -1.48839409 0.71981845], Predicted=[0.70783298 0.29216702] X=[ 0.05358295 3.34138372 0.70911744 1.1058939 0.97170644 -0.6649702 -0.17321751 1.08427132 0.01148034 -1.31313104 -0.9868119 ], Predicted=[0.98872302 0.01127698] X=[-3.01959090e-01 -2.80213589e-01 1.45287331e+00 3.17178833e-01 5.61960394e-02 1.51080912e+00 1.19168986e+00 6.72982831e-01 2.10175327e-01 1.34184656e-03 -1.06808001e+00], Predicted=[0.93196211 0.06803789] X=[-0.65750113 -1.47087572 0.70911744 -1.04335466 -0.12690604 1.62841881 0.17977578 -1.12598632 -0.38590965 2.01686694 0.55728222], Predicted=[0.53717123 0.46282877] X=[ 1.00169505 1.60500145 -0.77839428 0.94815089 -0.67621228 0.33471219 0.67396638 0.25835054 -0.45214131 -0.52444731 0.63855033], Predicted=[0.71446484 0.28553516] X=[ 0.527639 -0.47865728 0.6264779 1.61855869 0.10197156 2.21646728 1.99180798 1.53902932 -0.18721466 1.92923542 -0.90554379], Predicted=[0.80757281 0.19242719] X=[-0.53898711 0.01745194 -0.94367336 1.26363691 -0.31000812 0.92276066 0.27390732 0.44226002 0.27640699 -0.52444731 0.15094166], Predicted=[0.64646665 0.35353335] X=[-2.07966928 0.11667379 -0.44783612 0.37633246 -0.90508988 -0.48855566 -0.73800677 -0.31678458 1.13741862 -1.05023647 0.394746 ], Predicted=[0.70506282 0.29493718] X=[-0.53898711 0.41433932 0.13064066 -0.31379322 -0.7219878 -0.07692173 -0.87920408 -0.94542065 1.13741862 0.96528863 1.61376767], Predicted=[0.35465893 0.64534107] X=[-0.06493106 1.00967039 -0.36519658 0.69181849 -0.40155916 0.27590734 0.17977578 -0.25659603 -0.51837298 -1.05023647 0.80108656], Predicted=[0.69805342 0.30194658] X=[ 0.05358295 -1.37165388 -0.36519658 0.69181849 0.46817572 -0.31214112 -1.11453294 0.36535242 0.01148034 -1.40076257 -0.49920323], Predicted=[0.80953977 0.19046023] X=[-0.30195909 -1.07398834 -0.6131152 0.19887157 0.28507364 0.56993158 -0.24381617 -0.04927988 -0.18721466 -1.05023647 -0.41793512], Predicted=[0.81035142 0.18964858] X=[-0.89452915 1.70422329 -0.53047566 -1.10250829 -0.31000812 -1.31182351 -1.32632891 -0.44384932 0.27640699 -1.48839409 -0.82427568], Predicted=[0.97998597 0.02001403] X=[-0.65750113 0.01745194 -0.28255704 0.04112856 7.42605474 1.45200427 0.36803886 0.25166292 -0.58460464 -0.78734189 -0.90554379], Predicted=[0.99534938 0.00465062] X=[ 0.64615301 -0.28021359 0.29591974 1.40166205 0.6512778 0.9815655 1.26228852 1.16117892 -1.24692128 -0.43681578 -1.14934812], Predicted=[0.9316585 0.0683415] X=[ 1.23872307 0.71200485 -0.77839428 1.81573746 1.20058404 0.51112673 2.13300529 1.27821223 -1.04822629 0.87765711 -0.01159456], Predicted=[0.8642084 0.1357916] X=[-0.06493106 0.71200485 1.61815239 0.73125424 0.33084916 0.09949281 0.29744021 0.75992186 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.96822803 0.03177197] X=[-0.06493106 0.21589563 -0.86103382 -0.35322897 0.69705332 0.89335823 2.35656771 0.59273142 0.87249197 0.96528863 -0.82427568], Predicted=[0.95135309 0.04864691] X=[-0.77601514 0.21589563 -0.28255704 -0.76730438 -0.21845708 -0.37094597 -1.32632891 -1.12933013 0.8062603 1.05292016 1.04489089], Predicted=[0.54172182 0.45827818] X=[-1.13155718 -0.47865728 -0.77839428 -0.51097199 -0.35578364 1.51080912 0.32097309 -0.88188828 0.8062603 0.08897337 0.63855033], Predicted=[0.53486988 0.46513012] X=[ 0.88318104 -0.47865728 0.54383836 -0.23492171 0.92593092 -1.25301866 -1.11453294 0.28510101 -0.12098299 2.71791915 -0.66173945], Predicted=[0.88612784 0.11387216] X=[-1.25007119 0.11667379 -2.34854555 -1.10250829 -0.35578364 -1.4294332 -2.55003897 -0.54416359 1.13741862 -1.22549952 -1.06808001], Predicted=[0.93102162 0.06897838] X=[-0.53898711 -0.37943543 -0.11727796 -1.07293147 -0.21845708 -0.72377504 -0.17321751 -1.23633202 0.40887032 -1.22549952 1.04489089], Predicted=[0.72293504 0.27706496] X=[ 0.05358295 -0.87554465 -0.1999175 2.53543996 -0.12690604 0.15829765 0.67396638 1.84331592 -1.71054293 0.26423642 -1.14934812], Predicted=[0.88729614 0.11270386] X=[-0.4204731 0.71200485 -0.44783612 1.18476541 0.23929812 2.98093028 1.75647912 0.72648377 -0.18721466 0.1766049 -0.49920323], Predicted=[0.83185627 0.16814373] X=[-1.3685852 -0.67710097 0.29591974 -0.37294685 -0.2642326 1.33439458 0.03857846 -0.23653317 0.67379698 1.14055168 0.06967355], Predicted=[0.75795547 0.24204453] X=[ 0.17209696 1.10889223 -1.0263129 0.8495615 2.39074755 -1.31182351 -1.11453294 0.8502047 -1.04822629 -0.17392121 -0.9868119 ], Predicted=[0.98267306 0.01732694] X=[ 0.40912499 -0.87554465 1.0396756 -0.51097199 -0.21845708 2.74571089 1.14462409 -0.27665888 0.01148034 0.96528863 0.55728222], Predicted=[0.63822976 0.36177024] X=[ 4.55711543 -0.57787912 1.86607101 0.35661459 -0.08113052 0.09949281 1.00342678 1.32836936 -2.10793291 1.66634084 -0.82427568], Predicted=[0.91348242 0.08651758] X=[ 0.88318104 -0.0817699 -0.77839428 -0.51097199 0.55972676 -0.95899443 -0.54974368 0.59273142 -0.25344632 -0.34918426 -1.31188435], Predicted=[0.9772532 0.0227468] X=[ 0.05358295 2.59721989 -0.6131152 1.24391904 0.14774708 1.39319943 1.33288718 0.64623236 0.47510198 0.43949948 -0.01159456], Predicted=[0.83891257 0.16108743] X=[-0.4204731 1.30733592 -0.94367336 -0.31379322 0.28507364 0.80515096 0.08564423 0.19147436 -0.31967798 1.14055168 -1.06808001], Predicted=[0.95797516 0.04202484] X=[-1.01304317 0.41433932 -0.28255704 -0.88561164 -0.58466124 0.33471219 0.08564423 -1.64093288 0.67379698 -0.61207884 1.85757201], Predicted=[0.4304048 0.5695952] X=[-0.18344508 0.31511748 -0.1999175 -0.29407534 -0.67621228 -0.90018958 0.29744021 -0.47728741 1.13741862 2.8931822 1.20742712], Predicted=[0.45412761 0.54587239] X=[-0.06493106 -0.47865728 -0.03463842 -0.88561164 0.05619604 -0.90018958 -0.87920408 -0.87854447 -0.58460464 -0.26155273 0.47601411], Predicted=[0.82333862 0.17666138] X=[ 3.25346129 -0.67710097 -0.44783612 -1.02363678 -0.35578364 -1.37062835 -2.0087826 -0.47728741 -2.57155456 -0.26155273 0.06967355], Predicted=[0.85704025 0.14295975] X=[-0.30195909 0.8112267 1.53551285 0.73125424 0.1935226 -0.37094597 0.03857846 0.75323424 -0.78329963 -0.78734189 -0.90554379], Predicted=[0.97201544 0.02798456] X=[ 0.76466702 -0.47865728 2.85774549 0.90871513 0.05619604 0.09949281 -0.12615174 1.26149319 -1.31315295 -0.96260494 -1.39315246], Predicted=[0.9745107 0.0254893] X=[-0.53898711 -0.0817699 0.95703606 0.37633246 0.1935226 0.9815655 1.35642006 0.49241715 -0.05475133 -0.08628968 -0.82427568], Predicted=[0.93017349 0.06982651] X=[ 0.64615301 -0.67710097 -0.53047566 -1.02363678 -0.21845708 -0.48855566 -0.92626985 -0.44384932 0.01148034 -1.40076257 -0.58047134], Predicted=[0.89891155 0.10108845] X=[ 1.12020906 1.50577961 1.28759423 1.30307267 -0.58466124 0.09949281 0.46217041 0.49241715 -0.31967798 -1.22549952 0.63855033], Predicted=[0.76279697 0.23720303] X=[-0.53898711 -0.9747665 3.35358273 1.08617602 0.01042052 1.09917519 0.69749926 1.26149319 2.59451523 1.66634084 -0.33666701], Predicted=[0.71705412 0.28294588] X=[-0.89452915 -0.28021359 -1.27423152 0.81012575 0.14774708 0.33471219 -0.33794771 0.75992186 -0.31967798 -1.22549952 -0.01159456], Predicted=[0.91202426 0.08797574] X=[ 2.90610974e-01 3.15117476e-01 1.12231514e+00 1.42137993e+00 4.68175718e-01 1.09917519e+00 1.37995295e+00 1.26149319e+00 -5.84604641e-01 1.34184656e-03 -9.86811901e-01], Predicted=[0.93564617 0.06435383] X=[ 1.35723709 -0.57787912 -0.44783612 1.50025143 0.33084916 2.80451574 1.37995295 1.36180745 -0.31967798 -0.34918426 -0.58047134], Predicted=[0.77652935 0.22347065] X=[ 0.05358295 -1.27243203 -0.44783612 -0.39266473 -0.76776332 -1.25301866 -0.73800677 -0.18637604 0.34263866 -0.26155273 -0.09286267], Predicted=[0.76422958 0.23577042] X=[-1.3685852 -0.67710097 -0.77839428 -0.80674014 0.05619604 1.45200427 1.19168986 0.32522671 3.05813688 2.01686694 -0.33666701], Predicted=[0.81492821 0.18507179] X=[-0.18344508 -0.28021359 -0.6131152 -0.95462421 -0.21845708 4.89208779 1.82707778 0.29178862 2.39582024 1.22818321 -0.90554379], Predicted=[0.78921657 0.21078343] X=[-0.06493106 0.21589563 0.13064066 -0.70815075 -0.35578364 -1.48823805 0.60336772 -0.94542065 -0.6508363 0.35186795 1.20742712], Predicted=[0.76997541 0.23002459] X=[-0.53898711 1.80344514 -2.10062693 -0.29407534 0.01042052 -0.07692173 0.13271 0.14131723 -0.58460464 0.61476253 -0.41793512], Predicted=[0.96138208 0.03861792] X=[ 1.23872307 3.58943834 1.0396756 0.82984363 9.07397346 -0.13572658 2.08593952 1.42868363 -2.10793291 2.19213 -1.14934812], Predicted=[9.99680665e-01 3.19335471e-04] X=[-1.3685852 -0.67710097 -0.69575474 -1.04335466 -0.4931102 -0.5473605 -1.3498618 -1.27980153 0.8062603 0.26423642 0.71981845], Predicted=[0.58685926 0.41314074] X=[-1.01304317 -0.77632281 -0.11727796 -0.668715 -0.67621228 -0.5473605 -0.47914502 -0.89860732 1.26988195 1.66634084 0.55728222], Predicted=[0.47070388 0.52929612] X=[-0.30195909 -0.18099175 0.37855928 0.02141068 5.68658499 1.92244304 1.47408449 0.52585524 0.01148034 -0.96260494 -0.90554379], Predicted=[0.99218772 0.00781228] X=[-0.53898711 -0.37943543 -0.6131152 0.35661459 0.37662468 0.68754127 1.02695966 0.45229145 -0.45214131 0.08897337 -0.82427568], Predicted=[0.92249475 0.07750525] X=[ 0.05358295 0.51356116 -1.0263129 -1.06307253 0.33084916 0.2171025 0.22684155 -0.44384932 -0.45214131 -0.34918426 -0.90554379], Predicted=[0.95596292 0.04403708] X=[ 0.76466702 0.71200485 1.20495468 1.18476541 0.46817572 1.51080912 0.89752879 1.33840079 -1.44561627 0.26423642 -1.39315246], Predicted=[0.96798549 0.03201451] X=[-0.18344508 -0.9747665 -0.44783612 0.75097212 -0.31000812 -0.37094597 -0.54974368 0.22156864 -0.51837298 -0.34918426 0.31347789], Predicted=[0.70177663 0.29822337] X=[ 0.88318104 1.10889223 -0.11727796 -0.55040774 -0.4931102 -0.78257989 -1.06746717 -0.86516923 -0.71706797 0.96528863 1.61376767], Predicted=[0.62647254 0.37352746] X=[-0.06493106 -0.9747665 -0.44783612 0.67210061 -0.31000812 -0.37094597 -0.59680945 0.01090868 -0.51837298 -0.34918426 0.31347789], Predicted=[0.64164981 0.35835019] X=[ 0.05358295 -0.57787912 -0.11727796 -0.11661445 -0.21845708 -0.90018958 -0.45561214 -0.35691029 -0.12098299 0.527131 0.55728222], Predicted=[0.69194607 0.30805393] X=[-0.65750113 1.50577961 -0.11727796 0.47492185 -0.17268156 -1.01779928 -0.76153965 -0.77154259 0.60756531 -1.40076257 1.93884012], Predicted=[0.5522332 0.4477668] X=[ 0.29061097 0.11667379 1.28759423 -1.02363678 -0.67621228 -0.19453143 -0.92626985 -1.58074433 -0.78329963 -1.40076257 1.36996334], Predicted=[0.63155266 0.36844734] X=[-0.06493106 -0.57787912 -0.77839428 -0.29407534 2.11609443 -0.31214112 -0.3614806 0.3586648 -1.04822629 -0.26155273 -1.55568868], Predicted=[0.98451877 0.01548123] X=[-0.30195909 -0.57787912 -0.44783612 -0.29407534 -0.17268156 0.92276066 0.97989389 0.39210289 0.74002864 2.27976152 -0.82427568], Predicted=[0.8512153 0.1487847] X=[-1.01304317 0.11667379 0.6264779 0.86927938 0.10197156 1.15798004 0.25037443 -0.10946844 -0.6508363 0.87765711 0.394746 ], Predicted=[0.67283615 0.32716385] X=[-1.3685852 0.31511748 -0.44783612 -0.45181836 -0.7219878 -0.78257989 -1.23219737 -1.13936156 0.8062603 -0.96260494 0.96362278], Predicted=[0.60834568 0.39165432] X=[-0.77601514 0.51356116 -1.60478968 -0.31379322 0.28507364 -0.48855566 -0.24381617 0.24163149 0.14394366 -0.08628968 -0.90554379], Predicted=[0.96121998 0.03878002] X=[ 0.64615301 0.51356116 -0.6131152 1.81573746 0.14774708 1.8636382 1.68588046 1.68615691 -0.8495313 1.66634084 -0.82427568], Predicted=[0.88040365 0.11959635] X=[-0.77601514 -0.37943543 0.13064066 -1.02363678 -0.35578364 -0.78257989 0.67396638 -0.94542065 -0.58460464 -0.08628968 0.06967355], Predicted=[0.88016494 0.11983506] X=[-0.4204731 -0.57787912 -0.69575474 2.11150561 0.1935226 0.51112673 -0.00848731 2.03056922 0.74002864 -1.05023647 -1.39315246], Predicted=[0.92037687 0.07962313] X=[-1.25007119 -0.87554465 1.28759423 -0.29407534 -0.2642326 0.51112673 -0.47914502 -0.17634461 1.0049553 -0.96260494 -0.82427568], Predicted=[0.87381979 0.12618021] X=[ 0.64615301 -0.18099175 -0.36519658 -0.53068986 0.10197156 -1.25301866 -1.53812488 -0.84510638 -0.8495313 -0.34918426 0.71981845], Predicted=[0.73889996 0.26110004] X=[-1.83445077e-01 -9.74766499e-01 -2.82557040e-01 1.69280668e-03 1.01971559e-01 2.75907345e-01 2.65072878e+00 5.25855242e-01 6.73796976e-01 2.64236424e-01 -4.17935119e-01], Predicted=[0.89325639 0.10674361] X=[ 0.527639 -0.57787912 -0.28255704 0.35661459 0.05619604 0.39351704 1.61528181 0.86023613 0.93872363 -0.26155273 -0.82427568], Predicted=[0.89305107 0.10694893] X=[-1.01304317 2.3987762 -0.03463842 0.2580252 0.01042052 -0.6649702 -0.45561214 -0.59766453 -0.98199462 -0.96260494 0.394746 ], Predicted=[0.91648133 0.08351867] X=[-0.06493106 -0.87554465 3.10566411 2.19037712 -0.17268156 -0.84138474 -0.57327657 1.27486842 -2.24039624 0.08897337 -0.82427568], Predicted=[0.90759674 0.09240326] X=[-0.89452915 1.60500145 -0.44783612 -0.42224154 -0.63043676 0.45232188 -0.14968462 -0.81166829 0.47510198 -0.17392121 0.63855033], Predicted=[0.76442904 0.23557096] X=[-0.53898711 -1.71893033 -0.36519658 -1.04335466 -0.4931102 0.51112673 0.03857846 -0.87185685 -0.12098299 0.527131 0.15094166], Predicted=[0.67604069 0.32395931] X=[-0.4204731 -0.18099175 -0.44783612 1.20448328 0.01042052 2.6281012 2.03887375 0.94383135 -0.05475133 -0.69971036 -0.41793512], Predicted=[0.84448614 0.15551386] X=[ 1.23872307 -1.66931941 1.28759423 -0.37294685 0.10197156 -0.48855566 -0.12615174 0.19147436 0.34263866 -0.61207884 0.06967355], Predicted=[0.82559768 0.17440232] X=[-0.18344508 -1.57009756 -0.28255704 -0.23492171 0.10197156 0.15829765 -0.59680945 -0.169657 0.93872363 -0.43681578 -0.33666701], Predicted=[0.71511386 0.28488614] X=[-0.89452915 0.91044854 1.0396756 1.1058939 -0.17268156 1.51080912 1.68588046 0.99398848 -0.12098299 0.87765711 -0.66173945], Predicted=[0.9258017 0.0741983] X=[ 0.64615301 -0.87554465 -0.1999175 1.59884082 -0.035355 0.2171025 1.28582141 1.52899789 -0.58460464 0.08897337 -1.06808001], Predicted=[0.8910741 0.1089259] X=[-0.18344508 -1.17321019 0.04800112 -0.94476527 -0.90508988 -0.48855566 -0.690941 -0.2097827 1.0049553 0.79002558 -0.33666701], Predicted=[0.79595549 0.20404451] X=[-0.30195909 0.06706287 1.28759423 0.98758664 -0.4931102 1.27558973 -0.0320202 1.10099036 -0.71706797 0.43949948 -1.31188435], Predicted=[0.93724455 0.06275545] X=[-0.65750113 0.11667379 -0.28255704 0.33689671 7.60915682 1.45200427 0.27390732 0.59273142 -0.58460464 -0.78734189 -0.9868119 ], Predicted=[0.99648536 0.00351464] X=[ 2.66089123 0.01745194 1.28759423 -0.86589377 0.60550228 -1.48823805 -0.62034234 0.59273142 -0.25344632 -0.26155273 -0.33666701], Predicted=[0.97166491 0.02833509] X=[-0.65750113 -0.57787912 1.94871055 -0.98420103 7.42605474 -1.25301866 -0.99686851 -0.27665888 -0.18721466 -0.52444731 -0.41793512], Predicted=[0.99710891 0.00289109] X=[ 0.64615301 -0.77632281 -0.36519658 -0.9250474 0.05619604 -1.13540897 -0.90273697 -0.53413216 0.60756531 -0.34918426 0.06967355], Predicted=[0.79871011 0.20128989] X=[ 0.527639 -0.28021359 0.2132802 1.32279054 0.1935226 -0.01811689 1.45055161 1.52899789 -0.98199462 -0.26155273 -1.31188435], Predicted=[0.96269091 0.03730909] X=[ 0.64615301 0.31511748 -0.6131152 0.43548609 0.10197156 0.68754127 1.59174892 0.79335995 0.47510198 -1.13786799 -1.14934812], Predicted=[0.93579017 0.06420983] X=[ 0.29061097 -0.28021359 0.46119882 -0.84617589 -0.44733468 -0.31214112 -0.33794771 -1.079173 0.60756531 -0.52444731 1.36996334], Predicted=[0.54093373 0.45906627] X=[-0.65750113 0.41433932 -0.11727796 -0.96448315 -0.7219878 -0.6649702 -0.87920408 -1.60415099 0.14394366 -0.61207884 2.02010823], Predicted=[0.49860293 0.50139707] X=[ 0.40912499 0.31511748 1.0396756 -0.27435747 -0.2642326 -1.89987197 -2.57357186 -1.14604918 -0.98199462 0.35186795 1.61376767], Predicted=[0.54858023 0.45141977] X=[-0.65750113 -0.47865728 -0.03463842 -0.96448315 -0.44733468 -1.19421382 -0.78507254 -1.01229682 0.87249197 -0.61207884 0.55728222], Predicted=[0.72509048 0.27490952] X=[-0.06493106 -1.37165388 0.13064066 -0.96448315 0.05619604 0.27590734 -0.50267791 -0.97551493 -0.78329963 2.01686694 0.47601411], Predicted=[0.62129135 0.37870865] X=[ 1.4757511 0.51356116 0.2132802 0.19887157 -0.40155916 0.04068796 0.41510463 0.63285713 0.01148034 0.43949948 0.06967355], Predicted=[0.86010957 0.13989043] X=[ 0.17209696 -0.18099175 2.11398963 -0.98420103 -0.40155916 0.27590734 -0.43207925 -0.74479212 1.0049553 -0.69971036 0.47601411], Predicted=[0.77022162 0.22977838] X=[-0.89452915 -1.07398834 0.70911744 1.71714808 -0.58466124 -0.42975081 -0.33794771 0.94048754 -2.10793291 -0.17392121 -0.82427568], Predicted=[0.89281677 0.10718323] X=[-1.3685852 -0.57787912 -1.10895244 1.89460897 -0.08113052 0.33471219 -0.59680945 1.53568551 0.21017533 -0.26155273 -1.31188435], Predicted=[0.89795871 0.10204129]
#From Above we have
X_train #Features from Training dataset
X_test #Features from Test dataset
y_train #Label from Training dataset
y_test #label from Test Dataset
print("Rows, columns: " + str(X_train.shape))
print("Rows, columns: " + str(X_test.shape))
print("Rows, columns: " + str(y_train.shape))
print("Rows, columns: " + str(y_test.shape))
Rows, columns: (3673, 11) Rows, columns: (1225, 11) Rows, columns: (3673,) Rows, columns: (1225,)
# Descision Tree classifier
from sklearn import tree
from sklearn.tree import DecisionTreeClassifier
dt = DecisionTreeClassifier(criterion="entropy", max_depth=3)
dt.fit(X_train,y_train)
dt_predict = dt.predict(X_test)
# Accuracy of Training dataset
clf=DecisionTreeClassifier(criterion="entropy",max_depth=3)
clf.fit(X_train,y_train)
clf_predict=clf.predict(X_train)
from sklearn.metrics import confusion_matrix, accuracy_score
#print confusion matrix and accuracy score
clf_conf_matrix = confusion_matrix(y_train, clf_predict)
clf_acc_score = accuracy_score(y_train, clf_predict)
print(clf_conf_matrix)
print(clf_acc_score*100)
[[2541 333] [ 415 384]] 79.63517560577185
from sklearn.metrics import confusion_matrix, accuracy_score
#print confusion matrix and accuracy score
dt_conf_matrix = confusion_matrix(y_test, dt_predict)
dt_acc_score = accuracy_score(y_test, dt_predict)
print(dt_conf_matrix)
print(dt_acc_score*100)
[[830 134] [134 127]] 78.12244897959184
#Visualizing the Confusion Matrix
class_names=[0,1] # name of classes
fig, ax = plt.subplots()
tick_marks = np.arange(len(class_names))
plt.xticks(tick_marks, class_names)
plt.yticks(tick_marks, class_names)
# create heatmap
sns.heatmap(pd.DataFrame(dt_conf_matrix), annot=True, cmap="YlGnBu" ,fmt='g')
ax.xaxis.set_label_position("top")
plt.tight_layout()
plt.title('Confusion matrix', y=1.1)
plt.ylabel('Actual label')
plt.xlabel('Predicted label')
Text(0.5, 257.44, 'Predicted label')
#Visualizing the Decision Tree
df_feature_names = [ 'fixed_acidity', 'volatile_acidity', 'citric_acid','residual_sugar','chlorides','free_sulfur_dioxide','total_sulfur_dioxide','density','pH','sulphates','alcohol' ]
from sklearn.tree import export_graphviz
from sklearn.externals.six import StringIO
from IPython.display import Image
import pydotplus
from graphviz import *
dot_data = StringIO()
export_graphviz(dt, out_file=dot_data,
filled=True, rounded=True,
special_characters=True,feature_names = df_feature_names,class_names=['0','1'])
graph = pydotplus.graph_from_dot_data(dot_data.getvalue())
graph.write_png('wine_quality.png')
Image(graph.create_png())
#Feature Importance
var_importances = pd.Series(dt.feature_importances_, index=X_features.columns)
var_importances.nlargest(25).plot(kind='barh',figsize=(10,10))
<matplotlib.axes._subplots.AxesSubplot at 0x201408303c8>